# Facebook User Photos Scraper (`powerai/facebook-user-photos-scraper`) Actor List photos from a Facebook profile in batches: image links, ids, and types with optional album scoping. - **URL**: https://apify.com/powerai/facebook-user-photos-scraper.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Social media, Integrations, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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 User Photos Scraper Collect **photos on a Facebook profile** (person or Page-style profile) using its **numeric profile id**. Each dataset row is one photo entry with an image **`uri`**, stable **`id`**, and **`type`**, plus optional extra fields when the product returns them. The run can walk through successive batches until your row cap is reached or the list ends. ### Who it’s for - **Creators and managers** auditing images tied to a profile. - **Researchers** who need structured photo links instead of manual browsing. - **Automation** that already stores profile ids from search or CRM exports. ### What you can do with it - **Target one profile** using its **numeric id**. - **Optionally start from a known album** when you already have that album’s id. - **Collect up to your chosen cap**; the run loads batches automatically—you do not manage paging yourself. ### How it works (in plain terms) You provide the **profile id** and, if needed, an **album id**. The tool requests photo rows in batches. When more rows exist, it continues automatically until your **maximum row count** is reached or there are no more photos. If the product returns an album identifier for the current view, later batches use it so the listing stays on the same album when more pages of photos exist. ### Input | Field | Required | What it means | |-------|----------|----------------| | **Profile ID** (`profileId`) | Yes | Numeric id of the Facebook profile. | | **Album ID** (`collectionId`) | No | When you already know a specific photo album id, set it to start from that album. | | **Maximum results** (`maxResults`) | No | Upper limit on how many photo rows to save (default **50**). | ### Output - **One row per photo** (until your cap). Duplicate **`id`** values in the same run are skipped when the same id appears again. - **Photo**: typically **`type`**, **`id`**, **`uri`** (image URL). - **Extra fields**: rows may include **additional properties** beyond those three, depending on each item. - **Export metadata**: **`profileId`** repeats the profile you requested; **`albumCollectionId`** appears when the run is associated with an album context (from your input and/or the product response); **`scrapedAt`** is when that row was saved. Field availability depends on each photo. Details may change as the product evolves. #### Sample output (one dataset row, illustrative) ```json { "type": "page_photo", "id": "10117392482731981", "uri": "https://z-p3-scontent.fkna1-1.fna.fbcdn.net/v/t39.30808-6/649137739_10117392482736971_8799999883045095676_n.jpg?_nc_cat=101&ccb=1-7&_nc_sid=7b2446&_nc_ohc=dJ-9e44tFgkQ7kNvwFN4cmO&_nc_oc=Adom6qCvJyGtGyvxbpVr-bvpD5wxQt8QTjW8NsDNnQ5BqQRRAbKEOQDoObCwkgNwJxE&_nc_zt=23&_nc_ht=z-p3-scontent.fkna1-1.fna&_nc_gid=jR9yKkmTP5zEEUq27eMYDw&_nc_ss=7a30f&oh=00_AfwrNeLTZ-NLdgpuEKULO-7SwUuSCT7auB70OCqpZQ8AOA&oe=69CAA526", "profileId": "4", "albumCollectionId": "YXBwX2NvbGxlY3Rpb246cGZiaWQwSjY0TkJOVnR6NkRxOFcyMVRNdDlIY21SY0RKNzdhcWFZcGR4Um9GSm93UFRTRlFxa1JIajdDalVXRjR6RllEcHJoMVhTTml1bA==", "scrapedAt": "2026-03-26T06:23:39.620Z" } ```` # Actor input Schema ## `profileId` (type: `string`): Numeric id of the user or Page profile whose photos you want. ## `collectionId` (type: `string`): Optional. When you already know a specific photo album id to start from. ## `maxResults` (type: `integer`): How many photo rows to save in total (across pages). ## Actor input object example ```json { "profileId": "4", "maxResults": 5 } ``` # 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": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("powerai/facebook-user-photos-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": 5, } # Run the Actor and wait for it to finish run = client.actor("powerai/facebook-user-photos-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": 5 }' | apify call powerai/facebook-user-photos-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=powerai/facebook-user-photos-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook User Photos Scraper", "description": "List photos from a Facebook profile in batches: image links, ids, and types with optional album scoping.", "version": "0.0", "x-build-id": "6vZ53xfKt4OKE1GQJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/powerai~facebook-user-photos-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-powerai-facebook-user-photos-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/powerai~facebook-user-photos-scraper/runs": { "post": { "operationId": "runs-sync-powerai-facebook-user-photos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~facebook-user-photos-scraper/run-sync": { "post": { "operationId": "run-sync-powerai-facebook-user-photos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 photos you want.", "default": "4" }, "collectionId": { "title": "Album ID", "type": "string", "description": "Optional. When you already know a specific photo album id to start from." }, "maxResults": { "title": "Maximum results", "minimum": 5, "maximum": 10000, "type": "integer", "description": "How many photo rows to save in total (across pages).", "default": 5 } } }, "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 } } } } } } } } } } ```