# Facebook Posts Scraper (`parseforge/facebook-posts-scraper`) Actor

Collect public posts from any Facebook page or profile using URLs or slugs. Export structured results with post text, reactions breakdown, comments, media URLs, video detection, and engagement metrics to support social listening, content analysis, competitor monitoring, and recurring research.

- **URL**: https://apify.com/parseforge/facebook-posts-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Social media, Developer tools, Other
- **Stats:** 33 total users, 11 monthly users, 95.1% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 📘 Facebook Posts Scraper

> 🚀 **Pull Facebook posts from any public page in minutes.** Text, reactions, comments, shares, media, video flag, engagement metrics. No login.

> 🕒 **Last updated:** 2026-05-09 · **📊 25+ fields** per post · **📅 Date range filters** · **🚫 No auth** required


<table><tr>
<td style="border-left:4px solid #0F766E;padding:12px 16px;font-weight:600">Pull structured records from Facebook Posts — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.</td>
</tr></table>

<table>
<tr>
<td colspan="4" style="padding:10px 14px;background:#0F766E;border:none;border-radius:4px 4px 0 0">
<span style="color:#FFFFFF;font-size:14px;font-weight:700;letter-spacing:0.5px">Related Scrapers</span>
</td>
</tr>
<tr>
<td style="padding:10px 14px;border:1px solid #E7E5E4;border-top:none;vertical-align:top;width:25%;background:#CCFBF1">
&nbsp;<a href="https://apify.com/parseforge/facebook-posts-scraper" style="color:#0F766E;text-decoration:none;font-weight:700;font-size:13px">Posts</a><br>
<span style="color:#0F766E;font-size:11px;font-weight:600">➸ You are here</span>
</td>
<td style="padding:10px 14px;border:1px solid #E7E5E4;border-top:none;vertical-align:top;width:25%">
&nbsp;<a href="https://apify.com/parseforge/facebook-ads-library-scraper" style="color:#1C1917;text-decoration:none;font-weight:700;font-size:13px">Ads Library</a><br>
<span style="color:#78716C;font-size:11px">Political+commercial ad archive</span>
</td>
<td style="padding:10px 14px;border:1px solid #E7E5E4;border-top:none;vertical-align:top;width:25%">
&nbsp;<a href="https://apify.com/parseforge/facebook-pages-scraper" style="color:#1C1917;text-decoration:none;font-weight:700;font-size:13px">Pages</a><br>
<span style="color:#78716C;font-size:11px">Page profiles + about</span>
</td>
<td style="padding:10px 14px;border:1px solid #E7E5E4;border-top:none;vertical-align:top;width:25%">
&nbsp;<a href="https://apify.com/parseforge/facebook-reviews-scraper" style="color:#1C1917;text-decoration:none;font-weight:700;font-size:13px">Reviews</a><br>
<span style="color:#78716C;font-size:11px">Business page ratings</span>
</td>
</tr>
</table>

##### Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

````

parseforge/facebook-posts-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/facebook-posts-scraper").call(run\_input={...}), then client.dataset(run\["defaultDatasetId"]).list\_items().items for results. Key inputs: startUrls (array, default \[{"url": "https://www.facebook.com/cern/"}]), maxItems (integer, default 10), pageSlugs (array), minPostDate (string), maxPostDate (string), maxConcurrency (integer, default 1). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~facebook-posts-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

````

Pull live posts from Facebook public pages and profiles. The actor accepts a list of page URLs (or slugs), walks each page's feed, and returns one structured record per post ready for social listening, brand monitoring, content research, or competitive intelligence.

Every run fetches data live so you get the current state of Facebook at run time. Records include the post URL, post text, author name, post date, reaction counts (like, love, wow, haha, sad, angry), comment count, share count, media URLs (images and videos), video flag, and a back-reference URL.

| 👥 Built for | 🎯 Primary use cases |
|---|---|
| Brand and social listening | Monitor brand mentions across pages |
| Content marketers | Track competitor posting cadence and engagement |
| PR and crisis monitoring | Watch for reputation events in real time |
| Researchers | Study public discourse and content velocity |
| Marketing and growth | Identify high-performing post formats |
| App developers | Power archival and analytics products |

---

### 📋 What the Facebook Posts Scraper does

- 📘 **Two input formats.** Page URLs or page slugs (e.g. cern, nasa, bbcearth).
- 📅 **Date range filter.** minPostDate and maxPostDate for time-bounded scrapes.
- ❤️ **Reaction breakdown.** Count of like, love, wow, haha, sad, angry reactions.
- 📊 **Engagement metrics.** Comment count, share count.
- 🎥 **Media detection.** Image URLs, video URLs, video flag.
- 🆔 **Per-post back-reference.** Canonical post URL.

The scraper walks each page's feed, extracts post metadata, and pushes structured records to the dataset.

> 💡 **Why it matters:** Facebook public pages remain a primary source of brand and creator content but the platform's UI lacks bulk export. A live, structured pull beats manual scraping for social listening, brand monitoring, and competitive content research.

---

### 🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Slack via Apify integrations.

---

### ⚙️ Input

| Field | Type | Name | Description |
|---|---|---|---|
| startUrls | array | Start URLs | Facebook page or profile URLs (e.g. `https://www.facebook.com/cern/`). |
| maxItems | integer | Max Items | Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000. |
| pageSlugs | array | Page Slugs | Alternative to URLs - just the slug (e.g. cern, nasa). Can be combined with URLs. |
| minPostDate | string | Min Post Date | Optional. Only include posts on or after this date. |
| maxPostDate | string | Max Post Date | Optional. Only include posts on or before this date. |

Example 1. CERN posts from last 30 days.

```json
{
  "startUrls": [{"url": "https://www.facebook.com/cern/"}],
  "minPostDate": "2026-04-09",
  "maxItems": 50
}
````

Example 2. Multiple pages via slugs.

```json
{
  "pageSlugs": ["cern", "nasa", "bbcearth"],
  "maxItems": 100
}
```

> ⚠️ **Good to Know:** the actor only processes public pages and profiles. Private pages and groups behind login are not accessible.

***

### 📊 Output

The dataset returns one structured record per Facebook post. Each record carries identifiers, post text, author, date, reaction breakdown, engagement metrics, media URLs, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

#### 🧾 Schema

| Field | Type | Example |
|---|---|---|
| 🆔 postId | string | `123456789012345_67890` |
| 🔗 postUrl | string (url) | `https://www.facebook.com/cern/posts/...` |
| 📝 text | string | `Today CERN announced a new collaboration...` |
| 👤 authorName | string | CERN |
| 🔗 pageUrl | string (url) | `https://www.facebook.com/cern/` |
| 📅 postedAt | ISO datetime | `2026-04-12T14:30:00.000Z` |
| 👍 likeCount | number | `12450` |
| ❤️ loveCount | number | `4500` |
| 😮 wowCount | number | `1820` |
| 😆 hahaCount | number | `350` |
| 😢 sadCount | number | `12` |
| 😡 angryCount | number | `5` |
| 💬 commentCount | number | `850` |
| 🔁 shareCount | number | `420` |
| 🎥 hasVideo | boolean | false |
| 🖼️ imageUrls | array | `["https://scontent.../1.jpg"]` |
| 🎥 videoUrl | string or null | null |
| 📅 scrapedAt | ISO datetime | `2026-05-09T12:00:00.000Z` |

#### 📦 Sample records

##### 1. Typical record (text + image post)

```json
{
  "postId": "123456789012345_67890",
  "postUrl": "https://www.facebook.com/cern/posts/abc123",
  "text": "Today CERN announced a new collaboration with universities in Latin America to expand particle physics research...",
  "authorName": "CERN",
  "pageUrl": "https://www.facebook.com/cern/",
  "postedAt": "2026-04-12T14:30:00.000Z",
  "likeCount": 12450,
  "loveCount": 4500,
  "wowCount": 1820,
  "hahaCount": 350,
  "sadCount": 12,
  "angryCount": 5,
  "commentCount": 850,
  "shareCount": 420,
  "hasVideo": false,
  "imageUrls": ["https://scontent.fcdn.net/abc/1.jpg"],
  "videoUrl": null,
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}
```

##### 2. Video post

```json
{
  "postId": "234567890123456_78901",
  "postUrl": "https://www.facebook.com/nasa/videos/def456",
  "text": "Watch the launch of our newest mission live.",
  "authorName": "NASA",
  "pageUrl": "https://www.facebook.com/nasa/",
  "postedAt": "2026-05-01T16:00:00.000Z",
  "likeCount": 85000,
  "loveCount": 22000,
  "commentCount": 3200,
  "shareCount": 5800,
  "hasVideo": true,
  "imageUrls": ["https://scontent.fcdn.net/def/thumb.jpg"],
  "videoUrl": "https://video.fcdn.net/def/video.mp4",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}
```

##### 3. Sparse record (low-engagement post)

```json
{
  "postId": "345678901234567_89012",
  "postUrl": "https://www.facebook.com/smallpage/posts/ghi789",
  "text": "Quick update for our community.",
  "authorName": "Small Page",
  "pageUrl": "https://www.facebook.com/smallpage/",
  "postedAt": "2026-05-08T10:00:00.000Z",
  "likeCount": 12,
  "commentCount": 0,
  "shareCount": 0,
  "hasVideo": false,
  "imageUrls": [],
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}
```

***

### ✨ Why choose this Actor

| | Capability |
|---|---|
| 🎯 | **Built for the job.** Scoped specifically to Facebook posts so you skip the parser engineering entirely. |
| 🔖 | **Structured output.** Clean, typed fields ready for analysis, dashboards, or downstream pipelines. |
| ⚡ | **Fast.** Optimized request patterns return results in seconds, not minutes. |
| 🔁 | **Always fresh.** Every run pulls live data, so the dataset reflects Facebook as of run time. |
| 🌐 | **No infra to manage.** Apify handles proxies, retries, scaling, scheduling, and storage. |
| 🛡️ | **Reliable.** Battle-tested across many runs and edge cases, with graceful error handling. |
| 🚫 | **No code required.** Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. |

> 📊 Production-grade structured social data without the engineering overhead of building and maintaining your own scraper.

***

### 📈 How it compares to alternatives

| Approach | Cost | Coverage | Refresh | Filters | Setup |
|---|---|---|---|---|---|
| **⭐ Facebook Posts Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Public pages + profiles | **Live per run** | Page URL/slug, date range | ⚡ 2 min |
| Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | 🐢 Days to weeks |
| Paid social-listening tools | $$$ monthly per seat | Vendor-defined | Periodic | Vendor-defined | ⏳ Hours |
| Manual sourcing | Hours per check | Limited | Stale | Manual | 🕒 Variable |

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

***

### 🚀 How to use

1. 📝 **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes).
2. 🌐 **Open the Actor.** Go to the Facebook Posts Scraper page on the Apify Store.
3. 🎯 **Set inputs.** Add page URLs or slugs and optional date filters.
4. 🚀 **Run it.** Click **Start** and let the Actor collect your data.
5. 📥 **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML.

> ⏱️ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required.

***

### 💼 Business use cases

<table>
<tr>
<td width="50%" valign="top">

#### 📊 Brand and social listening

- Monitor brand mentions across pages
- Track competitor posting cadence
- Build crisis-response dashboards
- Map share-of-voice in your industry

</td>
<td width="50%" valign="top">

#### 🏢 Content and marketing

- Track top-performing post formats
- Build content libraries from competitor wins
- Identify high-engagement content trends
- Track campaign hashtag performance

</td>
</tr>
<tr>
<td width="50%" valign="top">

#### 🎯 Market research

- Study public discourse around topics
- Surface UGC for repurposing
- Build sentiment-tracking dashboards
- Track political and civic conversation

</td>
<td width="50%" valign="top">

#### 🛠️ Engineering and product

- Power archival and analytics products
- Replace fragile in-house Facebook scrapers
- Wire datasets into your apps via the Apify API or webhooks
- Skip the proxy, retry, and parsing maintenance entirely

</td>
</tr>
</table>

***

### 🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

<table>
<tr>
<td width="50%">

#### 🎓 Research and academia

- Empirical datasets for papers, thesis work, and coursework
- Longitudinal studies tracking changes across snapshots
- Reproducible research with cited, versioned data pulls
- Classroom exercises on data analysis and ethical scraping

</td>
<td width="50%">

#### 🎨 Personal and creative

- Side projects, portfolio demos, and indie app launches
- Data visualizations, dashboards, and infographics
- Content research for bloggers, YouTubers, and podcasters
- Hobbyist collections and personal trackers

</td>
</tr>
<tr>
<td width="50%">

#### 🤝 Non-profit and civic

- Transparency reporting and accountability projects
- Advocacy campaigns backed by public-interest data
- Community-run databases for local issues
- Investigative journalism on public records

</td>
<td width="50%">

#### 🧪 Experimentation

- Prototype AI and machine-learning pipelines with real data
- Validate product-market hypotheses before engineering spend
- Train small domain-specific models on niche corpora
- Test dashboard concepts with live input

</td>
</tr>
</table>

***

### 🔌 Automating Facebook Posts Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

- **Node.js** - call it via the [Apify JS SDK](https://docs.apify.com/sdk/js).
- **Python** - call it via the [Apify Python SDK](https://docs.apify.com/sdk/python).
- **REST** - hit it directly through the [Apify v2 API](https://docs.apify.com/api/v2).

**Schedules.** Use Apify Scheduler to capture daily snapshots of target pages. Combine with the Apify dataset diff tools to track new posts and engagement velocity between runs.

***

### ❓ Frequently Asked Questions

<details>
<summary><b>💳 Do I need a paid Apify plan to run this actor?</b></summary>

No. You can start right now on the free Apify plan, which includes **$5 in monthly credit**. That is enough to run the scraper several times and explore the output. Paid plans unlock higher item caps, more concurrent runs, and larger datasets. [Create a free Apify account here](https://console.apify.com/sign-up?fpr=vmoqkp).

</details>

<details>
<summary><b>🚨 What happens if my run fails or returns no results?</b></summary>

Failed runs are not charged. If Facebook changes its DOM, proxies get rate-limited, or your URLs match nothing, re-run the actor or open our [contact form](https://tally.so/r/BzdKgA) and we will look into it.

</details>

<details>
<summary><b>📏 How many items can I scrape per run?</b></summary>

Free users are limited to **10 items per run** so you can preview the output. Paid users can raise maxItems up to **1,000,000** per run.

</details>

<details>
<summary><b>🔒 Can it scrape private pages or groups?</b></summary>

No. The actor only processes publicly accessible Facebook pages and profiles.

</details>

<details>
<summary><b>🕒 How fresh is the data?</b></summary>

Every run fetches live data at the moment of execution. There is no cache or delay: records reflect what Facebook returned at run time.

</details>

<details>
<summary><b>🧑‍💻 Can I call this actor from my own code?</b></summary>

Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for [Node.js](https://docs.apify.com/sdk/js) and [Python](https://docs.apify.com/sdk/python). You can start a run, read the dataset, and handle webhooks from your own app in a few lines.

</details>

<details>
<summary><b>📤 How do I export the data?</b></summary>

Every Apify dataset can be downloaded in one click as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the [Apify API](https://docs.apify.com/api/v2) or stream into BigQuery, S3, and other destinations through built-in integrations.

</details>

<details>
<summary><b>📅 Can I schedule the actor to run automatically?</b></summary>

Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.

</details>

<details>
<summary><b>🏪 Can I use the data commercially?</b></summary>

Yes. The scraped data is yours to use in your own internal pipelines, products, and reports, subject to Facebook's Terms of Service and applicable privacy laws.

</details>

<details>
<summary><b>💼 Which plan should I pick for production use?</b></summary>

Apify's Starter and Scale plans are designed for production workloads. Pick the plan that matches your dataset size and refresh cadence.

</details>

<details>
<summary><b>🛠️ The data I need is not in the output. Can you add it?</b></summary>

Most likely yes. Open the [contact form](https://tally.so/r/BzdKgA) and tell us which field you need.

</details>

<details>
<summary><b>⚖️ Is scraping Facebook legal?</b></summary>

This Actor only collects data from publicly accessible Facebook pages, the same content any visitor can read. Public web scraping is generally legal in most jurisdictions for non-personal data, but laws vary by country and use case. You are responsible for compliance with Facebook's Terms of Service, applicable privacy laws (such as GDPR or CCPA), and any data-protection rules that apply.

***

</details>

### 🔌 Integrate with any app

Facebook Posts Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations):

- [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows
- [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps
- [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications in your channels
- [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe results into your warehouse
- [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases
- [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes.

***

### 🔗 Recommended Actors

- [**📘 Facebook Reviews Scraper**](https://apify.com/parseforge/facebook-reviews-scraper) - Page reviews and ratings
- [**🐦 X (Twitter) Scraper**](https://apify.com/parseforge/x-com-scraper) - Tweets with engagement
- [**📸 Instagram Posts Scraper**](https://apify.com/parseforge/instagram-posts-scraper) - Instagram posts with metadata
- [**📱 Reddit Posts Scraper**](https://apify.com/parseforge/reddit-posts-scraper) - Subreddit posts with comments
- [**💼 LinkedIn Posts Scraper**](https://apify.com/parseforge/linkedin-posts-scraper) - LinkedIn posts from profiles

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers.

***

**🆘 Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom project, or report an issue.

***

> ⚠️ **Disclaimer.** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Meta or Facebook. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and brand-listening use. Users are responsible for compliance with Facebook's Terms of Service and applicable law.

# Actor input Schema

## `startUrls` (type: `array`):

Facebook page or profile URLs to scrape posts from (e.g., https://www.facebook.com/cern/)

## `maxItems` (type: `integer`):

Free users: Limited to 100. Paid users: Optional, max 1,000,000

## `pageSlugs` (type: `array`):

Facebook page slugs without the full URL (e.g., cern, nasa, bbcearth). Can be combined with Start URLs.

## `minPostDate` (type: `string`):

Only include posts published on or after this date (YYYY-MM-DD or ISO datetime).

## `maxPostDate` (type: `string`):

Only include posts published on or before this date (YYYY-MM-DD or ISO datetime).

## `maxConcurrency` (type: `integer`):

Number of pages to scrape in parallel (1-5)

## `proxyConfiguration` (type: `object`):

Proxy settings for scraping

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.facebook.com/cern/"
    }
  ],
  "maxItems": 10,
  "maxConcurrency": 1
}
```

# Actor output Schema

## `overview` (type: `string`):

Dataset overview table

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://www.facebook.com/cern/"
        }
    ],
    "maxItems": 10,
    "minPostDate": "",
    "maxPostDate": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/facebook-posts-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "startUrls": [{ "url": "https://www.facebook.com/cern/" }],
    "maxItems": 10,
    "minPostDate": "",
    "maxPostDate": "",
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/facebook-posts-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.facebook.com/cern/"
    }
  ],
  "maxItems": 10,
  "minPostDate": "",
  "maxPostDate": ""
}' |
apify call parseforge/facebook-posts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=parseforge/facebook-posts-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Facebook Posts Scraper",
        "description": "Collect public posts from any Facebook page or profile using URLs or slugs. Export structured results with post text, reactions breakdown, comments, media URLs, video detection, and engagement metrics to support social listening, content analysis, competitor monitoring, and recurring research.",
        "version": "1.0",
        "x-build-id": "amH4iHVqw9HfaXC8S"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/parseforge~facebook-posts-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-parseforge-facebook-posts-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/parseforge~facebook-posts-scraper/runs": {
            "post": {
                "operationId": "runs-sync-parseforge-facebook-posts-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/parseforge~facebook-posts-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-parseforge-facebook-posts-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "startUrls": {
                        "title": "Start URLs",
                        "type": "array",
                        "description": "Facebook page or profile URLs to scrape posts from (e.g., https://www.facebook.com/cern/)",
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Free users: Limited to 100. Paid users: Optional, max 1,000,000"
                    },
                    "pageSlugs": {
                        "title": "Page Slugs",
                        "type": "array",
                        "description": "Facebook page slugs without the full URL (e.g., cern, nasa, bbcearth). Can be combined with Start URLs.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "minPostDate": {
                        "title": "Min Post Date",
                        "type": "string",
                        "description": "Only include posts published on or after this date (YYYY-MM-DD or ISO datetime)."
                    },
                    "maxPostDate": {
                        "title": "Max Post Date",
                        "type": "string",
                        "description": "Only include posts published on or before this date (YYYY-MM-DD or ISO datetime)."
                    },
                    "maxConcurrency": {
                        "title": "Max Concurrency",
                        "minimum": 1,
                        "maximum": 5,
                        "type": "integer",
                        "description": "Number of pages to scrape in parallel (1-5)",
                        "default": 1
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Proxy settings for scraping"
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
