# Facebook Posts Scraper (`cleansyntax/facebook-posts-scraper`) Actor Scrape Facebook Posts with one tool - pay-as-you-go, no monthly subscription. Collect profile posts, get profile details by page URL or ID, or get a profile ID from a URL. - **URL**: https://apify.com/cleansyntax/facebook-posts-scraper.md - **Developed by:** [Sam](https://apify.com/cleansyntax) (community) - **Categories:** Social media, Automation, Developer tools - **Stats:** 277 total users, 70 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $6.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 **๐Ÿ“˜ Facebook Posts Scraper** Scrape Facebook Posts โ€” recent **profile posts**, **profile details** (by ID or URL), and **profile ID lookup** โ€” powered by our **Facebook Scraper**. --- ### โœจ Features * **Profile posts**: Fetch public profile posts **by ID** or **by URL**. * **Profile details**: Retrieve rich profile metadata **by ID** or **by URL**. * **Profile ID lookup**: Resolve a profile **ID** from a URL ### ๐Ÿงญ Endpoints Choose one endpoint per run: 1. **`profile_posts_by_url`** `GET /profile/posts?profile_url=...&start_date=YYYY-MM-DD&end_date=YYYY-MM-DD` 2. **`profile_posts_by_id`** `GET /profile/posts?profile_id=...&start_date=YYYY-MM-DD&end_date=YYYY-MM-DD` 3. **`details_by_id`** `GET /profile/details_id?profile_id=...` 4. **`details_by_url`** `GET /profile/details_url?url=...` 5. **`profile_id_by_url`** `GET /profile/profile_id?url=...` --- ### ๐Ÿš€ How It Works 1. Pick the **endpoint** in the Actor input (dropdown). 2. Fill only the parameter(s) required for that endpoint. 3. Run the Actor. * For **Profile posts**, the Actor: * Calls `GET /profile/posts?profile_url/id=...` (+ optional `start_date`, `end_date`), * Pushes posts to the dataset, * Continues with `GET /profile/posts?profile_url/id=...` until finished. All results are stored in the **default Apify Dataset**, ready to export as **CSV**, **XLSX**, or **JSON**. --- ### ๐Ÿงพ Input #### Fields * **`endpoint`** *(required)* โ€” one of: * `profile_posts_by_id` * `profile_posts_by_url` * `details_by_id` * `details_by_url` * `profile_id_by_url` * **`profile_id`** *(string)* โ€” required for `profile_posts`, `details_by_id` * **`profile_url`** *(string)* โ€” required for `profile_posts`, `details_by_url` * **`url`** *(string)* โ€” required for `details_by_url`, `profile_id_by_url` * **`start_date`** *(YYYY-MM-DD, optional)* โ€” filter for `profile_posts` * **`end_date`** *(YYYY-MM-DD, optional)* โ€” filter for `profile_posts` ### ๐Ÿ“ฆ Output All results are saved as items in the **default Apify Dataset**. #### Profile posts Each dataset item is a **post** object from the API, plus helper fields: * `profile_url or profile_id (search term)` โ€” the URL or ID you queried Common fields (may vary): `post_id`, `type`, `url`, `message`, `timestamp`, `comments_count`, `reactions_count`, `reshare_count`, `reactions` (object), `author` (object), media (`image`, `video`, `video_files`, `video_thumbnail`, `album_preview`, `external_url`). #### Profile details (by ID / by URL) Single record with profile metadata (structure depends on API). We push `results` if present, otherwise the raw payload, plus: * `profile_id (search term)` **or** `url (search term)` #### Profile ID by URL Single record containing the resolved **profile ID**, plus: * `url (search term)` > Export via **Dataset โ†’ Export** in the Apify UI (CSV, XLSX, JSON). ### ๐Ÿง  Reliability & Pagination * **Pagination**: Automatically keeps requesting until the API stops returning profile posts. * **Retries**: 3 attempts with a 5s backoff for transient failures (e.g., 429/5xx). * **Polite delay**: A short delay between requests helps reduce rate-limit hits. * **Minimal logs**: Progress lines look like: ```` total posts collected 3 total posts collected 6 ```` --- ### ๐Ÿ›ก๏ธ Best Practices * Use realistic workloads; although the Actor retries on 429/503, excessive calling can still be throttled. * For very large profiles, consider narrowing **date filters** or splitting runs. * Profiles must be **public** for data to be returned by the API. --- ### ๐Ÿ”ง Troubleshooting * **422 `Field required: profile_id`** The API requires `profile_id` even when using a `cursor`. This Actor always includes it; ensure your input has `profile_id` filled. * **429 Rate limited** The Actor retries up to 3 times with a 5s delay. If it persists, slow down or split the job. * **No posts returned** The profile may be private, there may be no posts, or your date range excludes available posts. * **Empty details/ID** Double-check the URL/ID. Some profiles or URLs may not resolve or be supported. ### ๐Ÿ“ˆ SEO Keywords facebook post scraper, scrape facebook posts, facebook profile details api, facebook profile id lookup, apify actor facebook, facebook cursor pagination, export facebook posts csv, facebook profile details by url, facebook profile details by id, automate facebook scraping # Actor input Schema ## `endpoint` (type: `string`): Choose what to fetch. ## `urls_text` (type: `string`): Use for: Profile posts by URL, Profile details by URL, Profile ID by URL. Paste one URL/username per line. ## `ids_text` (type: `string`): Use for: Profile posts by ID, Profile details by ID. Paste one profile_id per line. ## `keywords_text` (type: `string`): Use for: Search Posts by Keyword. Paste one search query per line. ## `max_posts` (type: `integer`): Optional. Limit how many posts to collect per profile or keyword. Set 0 (default) to fetch all available. ## `start_date` (type: `string`): Optional filter for Profile posts and Search posts. ## `end_date` (type: `string`): Optional filter for Profile posts and Search posts. ## Actor input object example ```json { "endpoint": "details_by_url", "urls_text": "https://www.facebook.com/lodibeercompany/" } ```` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "endpoint": "details_by_url", "urls_text": "https://www.facebook.com/lodibeercompany/", "max_posts": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("cleansyntax/facebook-posts-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "endpoint": "details_by_url", "urls_text": "https://www.facebook.com/lodibeercompany/", "max_posts": 0, } # Run the Actor and wait for it to finish run = client.actor("cleansyntax/facebook-posts-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "endpoint": "details_by_url", "urls_text": "https://www.facebook.com/lodibeercompany/", "max_posts": 0 }' | apify call cleansyntax/facebook-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=cleansyntax/facebook-posts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Posts Scraper", "description": "Scrape Facebook Posts with one tool - pay-as-you-go, no monthly subscription. Collect profile posts, get profile details by page URL or ID, or get a profile ID from a URL.", "version": "0.0", "x-build-id": "wt1DlaSLNM0wsUqYv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cleansyntax~facebook-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cleansyntax-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/cleansyntax~facebook-posts-scraper/runs": { "post": { "operationId": "runs-sync-cleansyntax-facebook-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/cleansyntax~facebook-posts-scraper/run-sync": { "post": { "operationId": "run-sync-cleansyntax-facebook-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "endpoint" ], "properties": { "endpoint": { "title": "SELECT ENDPOINT", "enum": [ "profile_posts_by_url", "profile_posts", "search_posts_by_keyword", "details_by_id", "details_by_url", "profile_id_by_url" ], "type": "string", "description": "Choose what to fetch." }, "urls_text": { "title": "Profile URLs (one per line)", "type": "string", "description": "Use for: Profile posts by URL, Profile details by URL, Profile ID by URL. Paste one URL/username per line." }, "ids_text": { "title": "Profile IDs (one per line)", "type": "string", "description": "Use for: Profile posts by ID, Profile details by ID. Paste one profile_id per line." }, "keywords_text": { "title": "Keywords (one per line)", "type": "string", "description": "Use for: Search Posts by Keyword. Paste one search query per line." }, "max_posts": { "title": "Max posts per target (optional)", "minimum": 0, "type": "integer", "description": "Optional. Limit how many posts to collect per profile or keyword. Set 0 (default) to fetch all available." }, "start_date": { "title": "Start date (YYYY-MM-DD) (optional)", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Optional filter for Profile posts and Search posts." }, "end_date": { "title": "End date (YYYY-MM-DD) (optional)", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Optional filter for Profile posts and Search posts." } } }, "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 } } } } } } } } } } ```