# Facebook User Posts Scraper (`powerai/facebook-user-posts-scraper`) Actor Export posts from a Facebook profile timeline with text, media hints, engagement, and optional date filters. - **URL**: https://apify.com/powerai/facebook-user-posts-scraper.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Social media, Integrations, Other - **Stats:** 7 total users, 3 monthly users, 67.9% runs succeeded, 3 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 User Posts Scraper Collect **posts from a Facebook profile timeline** (user or Page-style profile) using its **numeric profile id**. Each dataset row is one post with text, links, engagement counts, author info, and media-related fields when returned. ### Who it’s for - **Researchers** sampling what a profile published over time. - **Social teams** tracking posts in a spreadsheet-friendly format. - **Automation** that already stores profile ids from search or directory data. ### What you can do with it - **Target one profile** with its **numeric id**. - **Optionally bound the time range** with start and end dates. - **Collect up to your chosen cap**; the run loads successive batches until the limit is reached or there are no more rows. ### How it works (in plain terms) You enter the **profile id**, any **date range**, and a **maximum row count**. The tool retrieves posts in batches and continues automatically while more rows exist and your cap allows—you do not manage paging yourself. ### Input | Field | Required | What it means | |-------|----------|----------------| | **Profile ID** (`profileId`) | Yes | Numeric id of the profile whose posts you want. | | **Start date** (`startDate`) | No | Earliest post date to include (`yyyy-mm-dd`). | | **End date** (`endDate`) | No | Latest post date to include (`yyyy-mm-dd`). | | **Maximum results** (`maxResults`) | No | Upper limit on how many post rows to save (default **50**). | ### Output - **One row per post** (until your cap). Duplicate **`post_id`** values in the same run are skipped when the same id appears again. - **Post**: **`post_id`**, **`type`**, **`url`** (often a `/posts/pfbid…` style link), **`message`**, **`message_rich`** (often matches **`message`**), **`timestamp`** (Unix-style seconds), **`comments_count`**, **`reactions_count`**, **`reshare_count`**. - **Reactions breakdown**: **`reactions`** with **`like`**, **`love`**, **`care`**, **`haha`**, **`wow`**, **`sad`**, **`angry`** when returned. - **Author**: **`author`** with **`id`**, **`name`**, **`url`**, **`profile_picture_url`**. **`author_title`** may be **`null`** or a string when shown. - **Media / attachments**: **`image`**, **`video`**, **`video_files`**, **`video_thumbnail`**, **`album_preview`** (often **`null`** or an **array** of photo objects with **`type`**, **`image_file_uri`**, **`url`**, **`id`**), **`external_url`**, **`attached_event`**, **`attached_post`**, **`attached_post_url`**, **`text_format_metadata`**. - **Thread ids**: **`comments_id`**, **`shares_id`** (often aligned with **`post_id`** for text posts). - **Extra fields**: rows may include **additional properties** beyond those listed. - **Export metadata**: **`requestedProfileId`** repeats the profile id used for that run; **`startDate`** / **`endDate`** appear only when you set those inputs; **`scrapedAt`** is when that row was saved. Field availability depends on each post. Details may change as the product evolves. #### Sample output (one dataset row, from a real run) ```json { "post_id": "10117392482806831", "type": "post", "url": "https://www.facebook.com/zuck/posts/pfbid02jmTqf1BDUZ8mokazNfpdrNeqZZSzMjVxHSVbAQAtt9tBmPgbs2GRd834yvAtS1qml", "message": "Always a great time seeing these legends fight. Congrats Charles Oliveira, Caio Borralho, and Drew Dober. Max Holloway is always impressive. Best sport in the world.", "message_rich": "Always a great time seeing these legends fight. Congrats Charles Oliveira, Caio Borralho, and Drew Dober. Max Holloway is always impressive. Best sport in the world.", "timestamp": 1772990946, "comments_count": 32815, "reactions_count": 110628, "reshare_count": 3583, "reactions": { "angry": 117, "care": 2244, "haha": 413, "like": 91463, "love": 15924, "sad": 46, "wow": 421 }, "author": { "id": "4", "name": "Mark Zuckerberg", "url": "https://www.facebook.com/zuck", "profile_picture_url": "https://scontent.fmii9-1.fna.fbcdn.net/v/t39.30808-1/632598281_10117314650513371_3238643608998008744_n.jpg?stp=cp0_dst-jpg_s40x40_tt6&_nc_cat=1&ccb=1-7&_nc_sid=1d2534&_nc_ohc=4sY_KvrH0F8Q7kNvwFax3qt&_nc_oc=AdrrLTdpioxPVCCjEM-DnszjUNxz52cCJ513zMP_Yh1vGXQA7Is44tgOxryuc2jX-ko&_nc_zt=24&_nc_ht=scontent.fmii9-1.fna&_nc_gid=Q8TKo8ulbIea3H-6yk-VOA&_nc_ss=7a30f&oh=00_Afw3sOWUpAn-iYinbKzvSc0mIB70y9LzuEv3XLBsvN5t7A&oe=69CAA1CB" }, "author_title": null, "image": null, "video": null, "album_preview": [ { "type": "photo", "image_file_uri": "https://scontent.fmii9-1.fna.fbcdn.net/v/t39.30808-6/649197944_10117392482532381_455117239230536738_n.jpg?_nc_cat=107&ccb=1-7&_nc_sid=7b2446&_nc_ohc=DH8qz1faM4AQ7kNvwG1y1Lx&_nc_oc=AdqR4tv0Op7HIUxeyGwfqh3Whpc-CSy9a8OB66YooQRefVpthf25oIoAkkYsxzHBRxs&_nc_zt=23&_nc_ht=scontent.fmii9-1.fna&_nc_gid=Q8TKo8ulbIea3H-6yk-VOA&_nc_ss=7a30f&oh=00_AfymgvaqsP0Li6vhp2xOWei8HjufCQ-QadmAlAXKiM3iIg&oe=69CAA3E7", "url": "https://www.facebook.com/photo.php?fbid=10117392482522401&set=a.529237706231&type=3", "id": "10117392482522401" }, { "type": "photo", "image_file_uri": "https://scontent.fmii9-1.fna.fbcdn.net/v/t39.30808-6/649137739_10117392482736971_8799999883045095676_n.jpg?_nc_cat=101&ccb=1-7&_nc_sid=7b2446&_nc_ohc=dJ-9e44tFgkQ7kNvwEzPzv8&_nc_oc=AdrZesyDCpcoVbl8JMgNHmKaSMde_hcM518QGW9x0Rok9H-H84ItZKIg3NbyI4bLP20&_nc_zt=23&_nc_ht=scontent.fmii9-1.fna&_nc_gid=Q8TKo8ulbIea3H-6yk-VOA&_nc_ss=7a30f&oh=00_AfxgRUf3m9qsXhHVoqDU-KO99FHdPU-Y2SfBcWUXiFryCw&oe=69CAA526", "url": "https://www.facebook.com/photo.php?fbid=10117392482731981&set=a.529237706231&type=3", "id": "10117392482731981" } ], "video_files": null, "video_thumbnail": null, "external_url": null, "attached_event": null, "attached_post": null, "attached_post_url": null, "text_format_metadata": null, "comments_id": "10117392482806831", "shares_id": "10117392482806831", "requestedProfileId": "4", "scrapedAt": "2026-03-26T06:16:46.601Z" } ```` # Actor input Schema ## `profileId` (type: `string`): Numeric id of the user or Page profile whose timeline posts you want. ## `startDate` (type: `string`): Optional. Earliest post date to include (yyyy-mm-dd). ## `endDate` (type: `string`): Optional. Latest post date to include (yyyy-mm-dd). ## `maxResults` (type: `integer`): How many post rows to save in total (across pages). ## Actor input object example ```json { "profileId": "4", "maxResults": 3 } ``` # 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 = { "profileId": "4", "maxResults": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("powerai/facebook-user-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "profileId": "4", "maxResults": 3, } # Run the Actor and wait for it to finish run = client.actor("powerai/facebook-user-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 '{ "profileId": "4", "maxResults": 3 }' | apify call powerai/facebook-user-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=powerai/facebook-user-posts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook User Posts Scraper", "description": "Export posts from a Facebook profile timeline with text, media hints, engagement, and optional date filters.", "version": "0.0", "x-build-id": "OpNgu3qQ11y0Fh193" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/powerai~facebook-user-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-powerai-facebook-user-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/powerai~facebook-user-posts-scraper/runs": { "post": { "operationId": "runs-sync-powerai-facebook-user-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~facebook-user-posts-scraper/run-sync": { "post": { "operationId": "run-sync-powerai-facebook-user-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "profileId": { "title": "Profile ID", "type": "string", "description": "Numeric id of the user or Page profile whose timeline posts you want.", "default": "4" }, "startDate": { "title": "Start date", "type": "string", "description": "Optional. Earliest post date to include (yyyy-mm-dd)." }, "endDate": { "title": "End date", "type": "string", "description": "Optional. Latest post date to include (yyyy-mm-dd)." }, "maxResults": { "title": "Maximum results", "minimum": 3, "maximum": 10000, "type": "integer", "description": "How many post rows to save in total (across pages).", "default": 3 } } }, "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 } } } } } } } } } } ```