# Facebook Email Scraper (`easyapi/facebook-email-scraper`) Actor πŸš€ Effortlessly scrape email addresses from Facebook profiles and pages! πŸ“˜ Find Facebook content matching your keywords and specific email domains. Perfect for lead generation, social media marketing, and community building. Powered by stealth technology for reliable data collection. πŸ“§πŸ•΅οΈβ€β™‚οΈ - **URL**: https://apify.com/easyapi/facebook-email-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Lead generation, Social media - **Stats:** 278 total users, 6 monthly users, 100.0% runs succeeded, 7 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 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 ## πŸ“˜ Facebook Email Scraper This Actor scrapes email addresses from Facebook profiles and pages using Google search results. It's designed to find Facebook content that matches your keyword and contains email addresses from specified domains. ### ✨ Features - πŸ” Search for Facebook profiles and pages using custom keywords - πŸ“§ Extract email addresses matching specific domains - πŸ‘₯ Collect Facebook profile/page titles and URLs - πŸ“ Gather contextual text from search snippets - πŸ”’ Configurable maximum number of results - πŸ•΅οΈβ€β™‚οΈ Uses stealth mode to avoid detection - πŸ”„ Automatic pagination through Google search results ### πŸ“₯ Input The Actor accepts the following input parameters: - `keyword` (required): The search term to find relevant Facebook content - `emailDomains` (required): An array of email domains to match (e.g., ["gmail.com", "yahoo.com"]) - `maxResults` (optional): The maximum number of email addresses to scrape (default: 100) ### πŸ“€ Output The Actor outputs a dataset containing the following information for each scraped email: - πŸ”‘ Search keyword used - πŸ“§ Matched email domains - πŸ“¨ Extracted email address - πŸ“› Result title - πŸ”— Facebook profile/page URL - πŸ“ Contextual text from the search snippet ### πŸš€ Usage To use this Actor, provide a search keyword related to the Facebook content you're interested in, an array of email domains to match, and optionally set the maximum number of results. The Actor will then search Google for Facebook content, extracting matching email addresses until it reaches the specified limit or exhausts all available results. This Actor is perfect for lead generation, social media marketing, or anyone looking to gather contact information from Facebook users in specific niches or industries. ### πŸ’‘ Use Cases - 🎯 Lead Generation: Find potential customers or partners with specific email domains on Facebook - πŸ“£ Social Media Marketing: Collect contact information for targeted Facebook outreach - πŸ”¬ Market Research: Analyze Facebook users and their contact preferences in specific sectors - 🀝 Community Building: Identify and reach out to potential community members or influencers ### πŸ†˜ Support If you encounter any issues or have questions about using this Actor, please don't hesitate to reach out through Apify's support channels. #### Input Example A full explanation of an input example in JSON. ```` { "keyword": 'marketing', "emailDomains": \['gmail.com', 'yahoo.com', 'hotmail.com'], "maxResults": 10 } ``` #### Output sample The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ``` \[ { "keywords": "marketing", "emailDomains": "gmail.com, yahoo.com, hotmail.com", "email": "mahena.marketing@gmail.com", "title": "Β‘Ojo aquΓ­!... - Mahena - Agencia de Marketing Digital", "url": "https://www.facebook.com/story.php/?story\_fbid=122185017560033069\&id=61550992081020", "text": "Ojo aquΓ­! ContΓ‘ctanos para mΓ‘s informaciΓ³n: 777 511 3981 mahena.marketing@gmail.com #MAHENA #MarketingDigital #CommunityManager #RedesSociales..." }, { "keywords": "marketing", "emailDomains": "gmail.com, yahoo.com, hotmail.com", "email": "olaynresort.marketing@gmail.com", "title": "Olayn Resort - Hello Ber-MonthsπŸ€— Secure your Spots Now!", "url": "https://m.facebook.com/olaynresorttagaytay/photos/hello-ber-monthssecure-your-spots-now/1038150821650093/", "text": "31 ago 2024 β€” For inquiries: Email us: olaynresort.marketing@gmail.com Olaynresort 2023@gmail.com Message our FB page Contact us: 09668978297 / 09690913552." }, ... ] ```` # Actor input Schema ## `keyword` (type: `string`): Enter the keyword to search for relevant Facebook content ## `emailDomains` (type: `array`): Enter the email domains to match (e.g., gmail.com, yahoo.com) ## `maxResults` (type: `integer`): Set the maximum number of email addresses to scrape. The actor will stop when this limit is reached. ## Actor input object example ```json { "keyword": "digital marketing", "emailDomains": [ "gmail.com", "yahoo.com", "hotmail.com" ], "maxResults": 30 } ```` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/facebook-email-scraper").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 = {} # Run the Actor and wait for it to finish run = client.actor("easyapi/facebook-email-scraper").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 '{}' | apify call easyapi/facebook-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/facebook-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Email Scraper", "description": "πŸš€ Effortlessly scrape email addresses from Facebook profiles and pages! πŸ“˜ Find Facebook content matching your keywords and specific email domains. Perfect for lead generation, social media marketing, and community building. Powered by stealth technology for reliable data collection. πŸ“§πŸ•΅οΈβ€β™‚οΈ", "version": "0.0", "x-build-id": "Rba9JaMwOeXePEsIa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~facebook-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-facebook-email-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/easyapi~facebook-email-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-facebook-email-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/easyapi~facebook-email-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-facebook-email-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": [ "keyword", "emailDomains" ], "properties": { "keyword": { "title": "πŸ”‘ Search Keyword", "type": "string", "description": "Enter the keyword to search for relevant Facebook content", "default": "digital marketing" }, "emailDomains": { "title": "πŸ“§ Email Domains", "type": "array", "description": "Enter the email domains to match (e.g., gmail.com, yahoo.com)", "default": [ "gmail.com", "yahoo.com", "hotmail.com" ], "items": { "type": "string" } }, "maxResults": { "title": "πŸ”’ Maximum Number of Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Set the maximum number of email addresses to scrape. The actor will stop when this limit is reached.", "default": 30 } } }, "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 } } } } } } } } } } ```