# Facebook Profile Email Scraper (`scraperoka/facebook-profile-email-scraper`) Actor 📧 Facebook Profile Email Scraper extracts emails from Facebook profiles with precision. ✅ Great for lead gen, B2B outreach, marketing & recruiting. ⚡ Fast, reliable, and easy to use. 🚀 Start building your contact list today! - **URL**: https://apify.com/scraperoka/facebook-profile-email-scraper.md - **Developed by:** [Scraperoka](https://apify.com/scraperoka) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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 Profile Email Scraper ⚡ Manually visiting profiles to collect emails wastes hours you don’t have. **Facebook Profile Email Scraper** automates extracting business and consumer emails from Facebook Profiles so you can build lead lists faster. This Facebook email scraper is ideal for marketers, recruiters, and growth teams looking for a **facebook profile email extractor** that can scale to thousands of records in a single run. --- ### What You Get: Sample Output Here's a sample record from a single run: ```json { "keyword": "fitness", "title": "Jane Fitness Coaching", "url": "https://www.facebook.com/jane.fitness.coach", "description": "Fitness coaching • Bookings & inquiries • 📧 jane.coach@example.com", "email": "jane.coach@example.com", "email_domain": "example.com", "email_type": "B2C", "country": "United States", "status": "success", "error_message": null } ```` | Field | Type | What It Tells You | |---|---|---| | `keyword` | string | Which of your search keywords was associated with this profile result | | `title` | string | A readable title/name to help you quickly judge relevance | | `url` | string | Direct link to the profile so you can verify context fast | | `description` | string | The surrounding profile text snippet that helped locate the contact email | | `email` | string | The extracted email you can use for outreach | | `email_domain` | string | The domain for segmenting leads (and spotting duplicates) | | `email_type` | string | Whether the email is categorized for **B2C** or **B2B** use | | `country` | string | The targeted country context for lead sourcing | | `status` | string | Indicates whether the record was processed successfully | | `error_message` | string | Populated when something goes wrong for a specific record | Export your dataset as JSON, CSV, or Excel — straight from the Apify dashboard. *** ### Why Facebook Profile Email Scraper? There are many ways to pull data from Facebook — here’s what sets **Facebook Profile Email Scraper** apart for a facebook email scraper workflow. #### Built for email-focused lead discovery Instead of returning unstructured profile pages, this facebook profile email extractor is designed to surface usable email contacts (including B2B and B2C options) alongside the profile context you need for follow-up. #### Keyword + country targeting You can drive results using your own **keywords** and a selected **country**, which makes this facebook lead email scraper more practical for real campaigns than generic scraping. #### Output is integration-ready Each dataset row is written with consistent fields like `email`, `email_domain`, `email_type`, `country`, plus profile context (`title`, `url`, `description`) so it’s easier to clean, deduplicate, and import. #### Resilient runs at scale Built-in resilience helps handle real-world variability, including retries and fallback behaviors, so large scraping jobs are less likely to fail halfway through. *** ### Configuring Your Run Drop this into your `input.json` to get started: ```json { "keywords": ["fitness", "marketing", "workout"], "country": "United States", "emailType": "B2B", "engine": "legacy", "maxEmails": 100 } ``` | Parameter | Required | What It Does | |---|---|---| | `keywords` | ✅ | One or more search keywords to find relevant Facebook Profiles | | `country` | ✅ | Select the country context to target | | `emailType` | ✅ | Choose `B2C` (consumer) or `B2B` (business) email extraction | | `engine` | ⬜ | Choose which scraping engine mode to use | | `maxEmails` | ✅ | Sets the maximum number of emails to collect for the run | *** ### Core Capabilities #### Keyword-driven crawling for relevant profiles Run this facebook profile email harvesting tool by supplying your own keywords and a country focus, so the extracted contacts align with your niche (for example, “fitness” or “marketing”). #### B2B vs B2C email selection Select `emailType` to focus on either **B2B** or **B2C** emails—helpful when you’re building a targeted list for outreach, newsletter growth, or sales prospecting. #### Complete, structured dataset records Results are stored with a consistent schema including `url`, `title`, `description`, and the key email fields (`email`, `email_domain`, `email_type`, `country`)—ideal for data analysts and researchers who want clean outputs. #### Scale control with maxEmails Use `maxEmails` to manage how many contacts you collect in a run, balancing coverage and cost/time. This makes it easy to run quick tests first, then scale up with a bulk facebook profile email scraper approach. #### Resilience for long-running jobs Includes retries and fallback behavior to reduce interruptions during larger runs. For bigger searches or higher email limits, it’s expected to take longer. *** ### Who Gets the Most Out of This **Sales Development Representatives** — Use Facebook Profile Email Scraper to turn niche searches (via `keywords`) into a list of leads with extracted emails, domains, and profile context so outreach teams can start faster. **Recruiters and Staffing Teams** — When you need a facebook email extraction software workflow to find contact emails for specific fields or services, this actor helps build candidate or vendor outreach lists with `email_type` and `country` for cleaner targeting. **Marketing Growth Teams** — Launch focused prospecting using keyword and country filters to support campaigns that require a steady stream of contacts (a facebook contact email scraper pattern for growth operations). **Freelance Researchers & Data Analysts** — The dataset is structured for analysis: you get `email`, `email_domain`, `email_type`, and the associated profile `url` and `description`, making it easier to deduplicate and enrich downstream. **Automation & Integration Specialists** — Automate scraping runs and push structured email results into your existing workflows via the Apify platform, including API-based retrieval for custom pipelines. *** ### Step-by-Step: How to Use It No coding needed. Here's how to run Facebook Profile Email Scraper from start to finish: 1. **Open the actor on Apify** — go to [console.apify.com](https://console.apify.com) and open Facebook Profile Email Scraper. 2. **Enter your inputs** — set `keywords`, choose `country`, pick `emailType`, and define `maxEmails` (optionally set `engine`). 3. **Configure proxy settings** — if your workflow requires it, enable your preferred proxy approach in Run Options for better reliability. 4. **Hit Run and watch the live log** — monitor progress and any retries while the actor processes results. 5. **View results in the dataset tab** — your scraped emails appear as structured rows for easy review. 6. **Export as JSON, CSV, or Excel** — download the dataset from the Apify dashboard for your CRM, spreadsheet, or analysis. The whole process takes under 5 minutes to set up. *** ### Integrations & Export Options Once your data is collected, Facebook Profile Email Scraper plugs directly into your existing workflow. You can export your dataset from the Apify dashboard in standard formats like JSON and CSV, and use it in tools that accept spreadsheet or file-based imports. For automation, you can also connect the actor runs to downstream systems using webhooks and no-code platforms like Zapier/Make. If you need to pull results programmatically, you can access run outputs via the Apify API—useful for building a facebook email lookup scraper into a larger lead pipeline. For scheduling, you can configure the actor to run automatically at a cadence that matches your campaign rhythm. *** ### Pricing & Free Trial Facebook Profile Email Scraper runs on the Apify platform, which offers a **free tier** — no credit card required to get started. In general, Apify uses a pay-as-you-go model based on platform compute (so you only pay for the scraping work you run), and there’s also support for larger ongoing usage via subscription plans. For exact, up-to-date costs, see the Apify pricing page in the dashboard. Start for free at [apify.com](https://apify.com) and scale when you're ready. *** ### Reliability & Performance | What We Handle | How | |---|---| | Rate limiting variability | Includes retries and fallback behavior for resilience | | Large jobs | Designed for longer runs—especially when `maxEmails` is high | | Data consistency | Writes structured records with consistent fields into the dataset | | Operational visibility | Logs progress during the run so you can track what’s happening | **Limitations:** This actor focuses on extracting emails from publicly available sources. Results depend on what contact information is actually present on profiles. For compliance-sensitive use cases, you should review your applicable legal and platform requirements before outreach. For enterprise-scale runs, contact us to discuss custom configurations. *** ### Frequently Asked Questions #### Is there a free plan or trial? Yes—Apify provides a free tier to help you try Facebook Profile Email Scraper without upfront commitment. You can run small test jobs first, then scale once you’re happy with the output. #### Do I need to log in to Facebook to use this? No. The actor is designed to extract emails from publicly available data without requiring you to provide login credentials. #### How accurate is the data? Accuracy depends on what the profile owner has published. The actor extracts emails and associated context fields (`description`, `url`, `title`) that appear in the public content it processes. #### How many results can I get per run? You control the maximum number of emails collected using `maxEmails`. If you request higher values, the run can take longer and results are not guaranteed to reach the exact maximum every time. #### How often is the data updated / how fresh is it? Freshness depends on when you run the actor. Each run captures whatever public information is available at the time of scraping, and you can schedule runs to keep your lead lists current. #### Is this legal? Does it comply with GDPR / CCPA? You are responsible for compliance with GDPR, CCPA, and any applicable regulations, as well as platform rules. The actor works with **publicly available data**, but your use of the extracted emails (storage, processing, outreach) must follow the law. #### Can I export results to Google Sheets or Excel? Yes. You can export your dataset from the Apify dashboard (for example as JSON or CSV), then import into Google Sheets or Excel. You can also connect runs into other workflows using integrations. #### Can I run this on a schedule automatically? Yes. Apify supports scheduled runs so you can automate repeated scraping jobs for ongoing prospecting, including bulk facebook profile email scraper use cases. #### Can I access this via API? Yes. You can retrieve results programmatically via the Apify API, which is helpful for building a facebook campaign lead email scraper into your own pipeline. #### What happens if the actor hits an error? If issues occur, the run continues as resiliently as possible and your dataset captures structured records for successful extractions. If a specific record cannot be processed, you’ll typically see an error field (such as `error_message`) alongside a status indicator. *** ### Need Help or Have a Request? Got a question about Facebook Profile Email Scraper or want a new feature added? Reach out at . Share what you’re trying to build—this actor is actively maintained based on user feedback. A couple ideas we can help with include batch CSV upload and webhook notifications when a run completes. *** ### Disclaimer & Responsible Use *Facebook Profile Email Scraper is the fastest, most reliable way to extract Facebook profile email contacts at scale — start your free run today.* This actor collects **publicly available data** from Facebook Profiles. It does not access private accounts, login-gated content, or password-protected pages. You must ensure your use of the extracted data complies with GDPR, CCPA, platform ToS, and any applicable regulations. If you need data removal, contact . Use responsibly, ethically, and only for lawful purposes. # Actor input Schema ## `keywords` (type: `array`): Enter one or more keywords to search for on Facebook. ## `country` (type: `string`): Specify the country to target for Google search results. ## `emailType` (type: `string`): Choose one — B2C or B2B. ## `engine` (type: `string`): Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE\_SERP proxy with traditional selectors - more reliable but slower and more expensive. ## `maxEmails` (type: `integer`): Enter the maximum number of emails to collect. ## Actor input object example ```json { "keywords": [ "fitness", "gym", "workout" ], "country": "United States", "emailType": "B2C", "engine": "legacy", "maxEmails": 20 } ``` # 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": [ "fitness", "gym", "workout" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scraperoka/facebook-profile-email-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 = { "keywords": [ "fitness", "gym", "workout", ] } # Run the Actor and wait for it to finish run = client.actor("scraperoka/facebook-profile-email-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 '{ "keywords": [ "fitness", "gym", "workout" ] }' | apify call scraperoka/facebook-profile-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraperoka/facebook-profile-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Profile Email Scraper", "description": "📧 Facebook Profile Email Scraper extracts emails from Facebook profiles with precision. ✅ Great for lead gen, B2B outreach, marketing & recruiting. ⚡ Fast, reliable, and easy to use. 🚀 Start building your contact list today!", "version": "1.0", "x-build-id": "nbJZ0YeS89Lf5K5kk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraperoka~facebook-profile-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraperoka-facebook-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraperoka~facebook-profile-email-scraper/runs": { "post": { "operationId": "runs-sync-scraperoka-facebook-profile-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraperoka~facebook-profile-email-scraper/run-sync": { "post": { "operationId": "run-sync-scraperoka-facebook-profile-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords", "country", "emailType", "maxEmails" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "Enter one or more keywords to search for on Facebook.", "items": { "type": "string" } }, "country": { "title": "Country", "enum": [ "United States", "United Kingdom", "Canada", "Australia", "Germany", "France", "India", "Japan", "Brazil", "Italy", "Spain", "Netherlands", "Sweden", "Norway", "Denmark", "Finland", "Poland", "Czech Republic", "Hungary", "Romania", "Bulgaria", "Croatia", "Slovenia", "Slovakia", "Estonia", "Latvia", "Lithuania", "Portugal", "Greece", "Cyprus", "Malta", "Luxembourg", "Ireland", "Belgium", "Austria", "Switzerland", "Liechtenstein", "Iceland", "South Korea", "China", "Mexico", "Argentina", "Chile", "Colombia", "Peru", "Venezuela", "Ecuador", "Uruguay", "Paraguay", "Bolivia", "Guyana", "Suriname", "French Guiana", "Falkland Islands (Malvinas)", "South Georgia and the South Sandwich Islands", "Bonaire, Sint Eustatius and Saba", "Curaçao", "Aruba", "Sint Maarten (Dutch part)", "Turks and Caicos Islands", "British Virgin Islands", "Anguilla", "Montserrat", "Antigua and Barbuda", "Barbados", "Dominica", "Grenada", "Saint Kitts and Nevis", "Saint Lucia", "Saint Vincent and the Grenadines", "Trinidad and Tobago", "Jamaica", "Bahamas", "Belize", "Costa Rica", "Guatemala", "Honduras", "Nicaragua", "Panama", "El Salvador", "Cuba", "Dominican Republic", "Haiti", "Puerto Rico", "U.S. Virgin Islands", "American Samoa", "Guam", "Northern Mariana Islands", "Saudi Arabia", "United Arab Emirates", "Bahrain", "Iraq", "Iran, Islamic Republic of", "Israel", "Jordan", "Kuwait", "Lebanon", "Oman", "Qatar", "Syrian Arab Republic", "Yemen", "Afghanistan", "Bangladesh", "Bhutan", "Maldives", "Nepal", "Pakistan", "Sri Lanka", "Myanmar", "Cambodia", "Lao People's Democratic Republic", "Thailand", "Viet Nam", "Malaysia", "Singapore", "Brunei Darussalam", "Philippines", "Indonesia", "Timor-Leste", "Papua New Guinea", "Fiji", "New Zealand", "Solomon Islands", "Vanuatu", "New Caledonia", "French Polynesia", "Wallis and Futuna", "Samoa", "Tonga", "Tuvalu", "Kiribati", "Nauru", "Federated States of Micronesia", "Marshall Islands", "Palau", "Cook Islands", "Niue", "Tokelau" ], "type": "string", "description": "Specify the country to target for Google search results.", "default": "United States" }, "emailType": { "title": "Email Type", "enum": [ "B2C", "B2B" ], "type": "string", "description": "Choose one — B2C or B2B.", "default": "B2C" }, "engine": { "title": "Engine", "enum": [ "cost-effective", "legacy" ], "type": "string", "description": "Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE_SERP proxy with traditional selectors - more reliable but slower and more expensive.", "default": "legacy" }, "maxEmails": { "title": "Max Emails", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Enter the maximum number of emails to collect.", "default": 20 } } }, "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 } } } } } } } } } } ```