# Facebook Search Posts (`scrapeforge/facebook-search-posts`) Actor Search Facebook posts, pages, groups, people, videos and events by keyword. Returns detailed data including reactions breakdown, media URLs, and engagement metrics. - **URL**: https://apify.com/scrapeforge/facebook-search-posts.md - **Developed by:** [ScrapeForge](https://apify.com/scrapeforge) (community) - **Categories:** Social media, Automation, Videos - **Stats:** 671 total users, 198 monthly users, 99.5% runs succeeded, 13 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.59 / 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 ## Facebook Search Posts Search Facebook by keyword and extract posts, pages, groups, people, videos, and events. Get structured data with full engagement metrics, author details, and media URLs. ### What does Facebook Search Posts do? This actor lets you search Facebook just like you would on facebook.com, but returns structured, machine-readable data. Enter a keyword and get back matching posts with all their metadata — perfect for market research, brand monitoring, competitive analysis, and content discovery. ### Features - **6 search types**: Posts, Pages, Groups, People, Videos, and Events - **Date filtering**: Narrow results to a specific date range - **Location filtering**: Scope searches to a geographic area using Facebook location UIDs - **Automatic deduplication**: No duplicate results in your dataset - **Automatic pagination**: Fetches as many results as you need (up to 1,000) - **Engagement metrics**: Reactions breakdown (like, love, haha, wow, sad, angry, care), comments count, and shares count - **Rich media**: Image URLs with dimensions, video files (SD/HD), video thumbnails - **Author info**: Name, profile URL, and profile picture for each post author ### Input parameters | Parameter | Type | Description | |-----------|------|-------------| | `query` | String | **Required.** The keyword or phrase to search for | | `search_type` | Enum | Type of content: `posts`, `pages`, `groups`, `people`, `videos`, `events`. Default: `posts` | | `max_results` | Integer | Maximum unique results to return (1–1,000). Default: `100` | | `start_date` | Date | Filter results from this date (YYYY-MM-DD) | | `end_date` | Date | Filter results until this date (YYYY-MM-DD) | | `recent_posts` | Boolean | Sort by most recent instead of relevance. Default: `false` | | `location_uid` | String | Facebook location UID to filter by geographic area | ### Output Each result in the dataset contains: ```json { "post_id": "pfbid02ABC123", "type": "photo", "url": "https://www.facebook.com/user/posts/pfbid02ABC123", "message": "Check out this amazing product!", "timestamp": 1710864000, "comments_count": 42, "reactions_count": 156, "reshare_count": 12, "reactions": { "like": 100, "love": 30, "haha": 10, "wow": 8, "sad": 3, "angry": 2, "care": 3 }, "author": { "id": "123456789", "name": "John Doe", "url": "https://www.facebook.com/johndoe", "profile_picture_url": "https://..." }, "image": { "uri": "https://...", "height": 720, "width": 1280, "id": "img123" }, "video": null, "external_url": null } ```` ### Use cases - **Brand monitoring**: Track mentions of your brand, products, or competitors - **Market research**: Discover trends and public sentiment around topics - **Content discovery**: Find popular posts in your niche for inspiration - **Lead generation**: Identify potential customers discussing relevant topics - **Event tracking**: Monitor discussions around events, launches, or campaigns - **Competitive analysis**: Analyze competitor engagement and content strategy ### Pricing This actor is priced per result. You only pay for the results you get — no hidden fees for failed runs or empty searches. ### Usage limits for free tier users To keep the service sustainable, accounts on the **Apify Free plan** have the following limits when running this actor: - **Up to 20 results per run** — any higher value in `max_results` is automatically reduced. - **1 run per 24 hours** — a second run launched within 24 hours of the previous one finishes immediately with a status message explaining when to retry. When a limit is reached, the run finishes gracefully (no error) and the status message explains what happened. **Paid plans** (Starter / Bronze and above) are not subject to these per-actor limits. To remove the restrictions, upgrade your Apify plan at . ### Limitations - Results depend on Facebook's public search availability - Some posts may not be accessible if the author has restricted visibility - Video file URLs (SD/HD) may expire after some time ### Disclaimer This is an **unofficial** actor and is **not affiliated with, endorsed by, or sponsored by Facebook or Meta**. It is developed and maintained independently. Facebook is a trademark of Meta Platforms, Inc. This actor accesses only publicly available data. Users are responsible for ensuring their use complies with Facebook's Terms of Service and all applicable laws. By using this actor, you agree that you are solely responsible for how you use the extracted data. # Actor input Schema ## `query` (type: `string`): The keyword or phrase to search for on Facebook. ## `search_type` (type: `string`): What type of Facebook content to search for. ## `max_results` (type: `integer`): Maximum number of unique results to return. The actor automatically deduplicates results. Free Apify plans are capped at 20 results. ## `start_date` (type: `string`): Filter results from this date (format: YYYY-MM-DD). Leave empty for no date filter. ## `end_date` (type: `string`): Filter results until this date (format: YYYY-MM-DD). Leave empty for no date filter. ## `recent_posts` (type: `boolean`): Sort results by most recent instead of relevance. May return less relevant results. ## `location_uid` (type: `string`): Facebook location UID to filter results by geographic area. Leave empty for global search. ## Actor input object example ```json { "query": "marketing digital", "search_type": "posts", "max_results": 5, "recent_posts": false } ``` # Actor output Schema ## `results` (type: `string`): Facebook posts with fields: post\_id, type, url, message, timestamp, comments\_count, reactions\_count, reshare\_count, reactions breakdown, author info, image, video, and external URLs. # 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 = { "query": "marketing digital" }; // Run the Actor and wait for it to finish const run = await client.actor("scrapeforge/facebook-search-posts").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "query": "marketing digital" } # Run the Actor and wait for it to finish run = client.actor("scrapeforge/facebook-search-posts").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 '{ "query": "marketing digital" }' | apify call scrapeforge/facebook-search-posts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapeforge/facebook-search-posts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Search Posts", "description": "Search Facebook posts, pages, groups, people, videos and events by keyword. Returns detailed data including reactions breakdown, media URLs, and engagement metrics.", "version": "1.0", "x-build-id": "e0VW1kS3iI7ydV3tZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapeforge~facebook-search-posts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapeforge-facebook-search-posts", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapeforge~facebook-search-posts/runs": { "post": { "operationId": "runs-sync-scrapeforge-facebook-search-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapeforge~facebook-search-posts/run-sync": { "post": { "operationId": "run-sync-scrapeforge-facebook-search-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search Query", "type": "string", "description": "The keyword or phrase to search for on Facebook." }, "search_type": { "title": "Search Type", "enum": [ "posts", "pages", "groups", "people", "videos", "events" ], "type": "string", "description": "What type of Facebook content to search for.", "default": "posts" }, "max_results": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of unique results to return. The actor automatically deduplicates results. Free Apify plans are capped at 20 results.", "default": 5 }, "start_date": { "title": "Start Date", "type": "string", "description": "Filter results from this date (format: YYYY-MM-DD). Leave empty for no date filter." }, "end_date": { "title": "End Date", "type": "string", "description": "Filter results until this date (format: YYYY-MM-DD). Leave empty for no date filter." }, "recent_posts": { "title": "Recent Posts First", "type": "boolean", "description": "Sort results by most recent instead of relevance. May return less relevant results.", "default": false }, "location_uid": { "title": "Location UID", "type": "string", "description": "Facebook location UID to filter results by geographic area. Leave empty for global search." } } }, "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 } } } } } } } } } } ```