# Facebook Profiles People Scraper - Low-costπŸ’²πŸ”₯πŸ“˜πŸ•΅οΈβ€β™‚οΈ (`delectable_incubator/facebook-profiles-people-scraper-low-cost`) Actor Scrape public Facebook profile data πŸš€πŸ“˜ by username or keyword with a powerful social media scraper. Extract names, profile pictures, and profile URLs in structured formats. Export results in JSON, CSV, or Excel. Ideal for research, outreach, lead generation, CRM enrichment, and data analysis πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/facebook-profiles-people-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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

Facebook Profiles Scraper - PrimeScrape

--- ## Facebook Profiles Scraper πŸ“˜πŸ‘₯πŸ”Ž The **Facebook Profiles Scraper** is a powerful and scalable Apify Actor designed to extract structured **public Facebook profile data** directly from keyword-based searches. It enables lead generation, people discovery, recruitment research, audience analysis, and structured social media dataset creation. --- ### 🎯 What This Scraper Does Simply provide one or more keywords and the scraper automatically collects matching Facebook profiles. βœ” Searches Facebook public profiles by keyword βœ” Extracts structured profile data βœ” Supports bulk keyword scraping βœ” Automatically handles pagination βœ” Applies `maxitems` limit per run βœ” Collects name, profile URL, and profile picture βœ” Generates clean structured datasets βœ” Export-ready for analytics & automation --- ### πŸ“Š Data Extracted #### πŸ‘€ Profile Information | Field | Description | |------|------------| | πŸ§‘ name | Full name of the Facebook profile | | 🌐 profile_url | Direct link to the Facebook profile | | πŸ–ΌοΈ profile_picture | Profile image URL | --- ### πŸ›  How to Use #### 1️⃣ Configure Input Provide keywords and max limit: ```` { "keywords": \[ "cars", "marketing", "freelance" ], "maxitems": 40 } ``` --- #### 2️⃣ Run the Actor β€’ Searches Facebook public profiles using keywords β€’ Extracts matching profile data automatically β€’ Handles pagination automatically β€’ Applies `maxitems` limit per keyword β€’ Stops when limit is reached --- #### 3️⃣ Export the Dataset Download results in multiple formats: βœ” JSON βœ” CSV βœ” Excel βœ” XML βœ” HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "keywords": \[ "John wick", "Gabriel james" ], "maxitems": 40 } ``` --- #### Input Fields | Field | Type | Description | |------|------|-------------| | keywords | array | List of keywords to search Facebook profiles | | maxitems | integer | Maximum number of profiles to scrape per run | --- ### πŸ“€ Output Example ``` \[ { "name": "Hana Lamis", "profile\_url": "https://www.facebook.com/hana.lamis.397", "profile\_picture": "https://scontent.xx.fbcdn.net/v/..." }, { "name": "Lucas Rivera", "profile\_url": "https://www.facebook.com/lucas.rivera.543", "profile\_picture": "https://scontent.xx.fbcdn.net/v/..." } ] ```` --- ### πŸ“Š Output Explanation | Use Case | Description | |----------|------------| | πŸ“Š Lead Generation | Collect targeted Facebook profiles for outreach | | πŸ§‘β€πŸ’Ό Recruitment | Find candidates based on skills or interests | | πŸ“’ Marketing Research | Identify audiences for campaigns | | πŸ”¬ Social Analysis | Analyze public Facebook presence by keyword | | πŸ€– Automation Pipelines | Feed structured data into CRM or AI tools | --- ### 🌍 Why Use This Scraper? βœ” Fast keyword-based profile discovery βœ” Structured and clean dataset output βœ” Supports bulk scraping βœ” No login required βœ” Scalable for large datasets βœ” Ideal for marketing, research, and lead generation βœ” Ready for automation workflows --- ### ❓ FAQ #### How does this scraper work? It searches Facebook public profiles using keywords and extracts visible profile data. #### Can I use multiple keywords? Yes, you can provide an array of keywords. #### Does it require login? No, it only uses publicly available data. #### What is maxitems? It defines the maximum number of profiles collected per run. #### Can I automate it? Yes, it works with Apify API, Python client, and scheduling tools. --- ### ⚠️ Disclaimer This tool is not affiliated with Facebook or Meta Platforms. It only collects publicly available information. --- ### πŸ’Έ Pricing This scraper runs on a **pay-per-result pricing model**. You only pay for successfully extracted records. πŸ’³ **Price:** $4.97 / 1,000 results --- ### πŸš€ How to Use 1️⃣ Create an Apify account 2️⃣ Open Facebook Profiles Scraper 3️⃣ Add keywords 4️⃣ Set maxitems 5️⃣ Run scraper 6️⃣ Download results --- ### πŸ”— Related Actors Explore more PrimeScrape social media and data extraction tools (coming soon). --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation. Contact us for custom scraping solutions, enterprise workflows, or bulk data extraction via Apify or email. # Actor input Schema ## `keywords` (type: `array`): List of keywords to search relevant Facebook pages from. Examples: β€’ John β€’ jas moon ⚠️ One keyword per entry. ## `maxitems` (type: `integer`): Set the maximum number of profiles you want to scrape. The scraper will stop once this number is reached. ## Actor input object example ```json { "keywords": [ "jas moon", "John" ], "maxitems": 40 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "jas moon", "John" ], "maxitems": 40 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/facebook-profiles-people-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "keywords": [ "jas moon", "John", ], "maxitems": 40, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/facebook-profiles-people-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "jas moon", "John" ], "maxitems": 40 }' | apify call delectable_incubator/facebook-profiles-people-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/facebook-profiles-people-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Profiles People Scraper - Low-costπŸ’²πŸ”₯πŸ“˜πŸ•΅οΈβ€β™‚οΈ", "description": "Scrape public Facebook profile data πŸš€πŸ“˜ by username or keyword with a powerful social media scraper. Extract names, profile pictures, and profile URLs in structured formats. Export results in JSON, CSV, or Excel. Ideal for research, outreach, lead generation, CRM enrichment, and data analysis πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "YUFaWeUJMisAUD6v0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~facebook-profiles-people-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-facebook-profiles-people-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~facebook-profiles-people-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-facebook-profiles-people-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~facebook-profiles-people-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-facebook-profiles-people-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords to search for people on Facebook πŸ”", "type": "array", "description": "List of keywords to search relevant Facebook pages from. Examples: β€’ John β€’ jas moon ⚠️ One keyword per entry.", "items": { "type": "string" } }, "maxitems": { "title": "Maximum Number of profiles to Scrape πŸ“Š", "type": "integer", "description": "Set the maximum number of profiles you want to scrape. The scraper will stop once this number is reached.", "default": 40 } } }, "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 } } } } } } } } } } ```