Facebook Profile Scraper

Pricing

$6.00 / 1,000 results

Facebook Profile Scraper

This tool efficiently extracts public profile data from specified Facebook accounts, including: Email addresses (if publicly listed) 、Bio、User ID、Profile URL. Key Advantage: For public profiles, it delivers accurate follower/fan counts – a critical metric most competitors fail to provide reliably.

Pricing

$6.00 / 1,000 results

Rating

0.0

(0)

Developer

Lazy Scraper

Maintained by Community

Actor stats

Bookmarked

387

Total users

Monthly active users

3.9 days

Issues response

22 days ago

Last modified

Categories

Social media

Lead generation

You can access the Facebook Profile Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "user_name": "JoemanStation" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("lazyscraper/facebook-profile-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Facebook Profile Scraper API in Python

The Apify API client for Python is the official library that allows you to use Facebook Profile Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Facebook Profile Scraper API in JavaScript

Facebook Profile Scraper API through CLI

Facebook Profile Scraper OpenAPI definition

Facebook Profile Scraper API

Facebook Profile Scraper – Cheap & Fast 📸🔍✨

contactminerlabs/facebook-profile-scraper---cheap-fast

🔍 Scrape Facebook Profiles Instantly Enter a keyword & extract highly relevant Facebook profiles, including username, profile name, bio, followers, following & profile URL 📊 Perfect for lead generation, influencer outreach & enriching your data pipelines across Google Sheets & automation tools

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371

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lexis-solutions/facebook-user-search-scraper

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Lexis Solutions

751

5.0

Facebook Profiles Email Scraper

clothefobia/facebook-profiles-email-scraper

Facebook Profiles Email Scraper- Scrap Email from facebook multiple facebook profile at once.

clothe fobia

277

1.0

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apify/facebook-url-to-id

Scraping any Facebook URL as data object with internal Facebook ID and metadata if-when available.

Apify

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Facebook Profile Email Scraper

scraper-mind/facebook-profile-email-scraper

Generate targeted B2B & B2C leads instantly with the Facebook Profile Email Scraper🔍📧. Extract real emails, profile data, and niche contacts by keyword and country. Fast, accurate, and perfect for outreach, marketing, and growth. 🚀

Scraper Mind

FB Profile Scraper

devwithbobby/fb-profile-scraper

Scrape data from any public FB Profile

Dev with Bobby

364

Facebook Email Scraper

bhansalisoft/facebook-email-scraper

Facebook Email Scraper- Scrap Emails from Facebook specific profile using google search engine

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Facebook profile and page scraper

curious_coder/facebook-profile-scraper

Scrape facebook profiles and pages in bulk and get important details such as email, social media urls, website and contact info.

Curious Coder

3.4K

2.2

Facebook Profiles & People Search Scraper 📘🕵️‍♂️

scrapestorm/facebook-profiles-people-search-scraper

🚀 Extract Public Facebook Profile Data 📘 using usernames / keywords! Collect names, profile pictures, and URLs 🔗 easily. Download results in JSON, CSV, or Excel 🔽 for smooth use in apps, reports, or spreadsheets. Ideal for research, outreach, lead generation, and analysis 📈.