Facebook Email Scraper 🚀📧🔍

Facebook Email Scraper is an Facebook email extractor and Facebook contact finder that collects business emails from public Facebook profile results found via Google search. It is ideal for influencer outreach, B2B lead generation, agency prospecting, and building email lists for cold email and sales pipelines 🎯📈

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🐛 For bugs, issues, or feature requests, please open a ticket in the Issues section of the repository. 🤝 Need a custom solution or enterprise features? Reach out to us at hello.apiempire@gmail.com

This actor focuses on speed and practicality: you provide keywords, it finds Facebook profile URLs in Google results, and it extracts any email addresses visible in the result snippets, then saves them to an Apify dataset for easy export and automation 📦⚡

What is Facebook Email Scraper 🤔

Facebook Email Scraper is an Apify actor that acts like an Facebook email finder. It uses keyword based Google search to discover Facebook profile URLs, then extracts email addresses that appear in the search result snippets ✅📧

This approach is useful when you want quick discovery across many niches without manually opening profiles. It works best for business accounts, creators, agencies, brands, shops, and service providers that publish a contact email publicly 🌐🧩

What does Facebook Email Scraper do? ⚙️

• Finds profiles: searches Google with a site filter for facebook dot com plus your keyword and optional location 🔎📍
• Extracts emails: parses each Google result block and pulls any email address found in the snippet 📧🧲
• Outputs a dataset: saves each result row into an Apify dataset in real time so you can export to CSV, JSON, Excel, or via API 📦📤

What it does not do ⚠️

• No private data: it does not access private profiles or private contact fields 🔒
• No Facebook login needed: it does not sign in to Facebook, it works from Google results 🌐
• No guarantee every profile has email: many profiles do not show email publicly, so yield depends on niche and keyword quality 🎲

What would the results look like from Facebook Email Scraper 📋

Each dataset item is a single email found in a Google result that links to a Facebook profile ✅

Field	Example	Meaning
network	Facebook dot com	Source label
keyword	digital marketing agency	Keyword used for discovery
title	GrowthPro Agency	Google result title
description	contact growthproagency at example dot com	Google snippet text where the email was found
url	https://www.facebook.com/growthproagency/	Facebook profile URL
email	hello@example.com	Extracted email

How to use the results 💡

• Export to CSV 📄: use in Google Sheets, Excel, HubSpot, or any CRM
• Export to JSON 🔌: integrate with automations and outreach tooling
• Deduplicate ✅: deduplicate by email since multiple keywords can find the same profile

Capabilities of Facebook Email Scraper ⚡

• Keyword targeting 🎯: niche discovery for any industry
• Email domain filtering 🧰: keep only selected domains like gmail, outlook, custom domains
• Location hinting 📍: add a location term to narrow search intent
• Proxy ready 🛡️: uses Apify Proxy group GOOGLE_SERP for more stable Google access
• Scale across many keywords 📚: process a keyword list in one run
• Exports and integrations 🔌: use Apify dataset exports or API for CRMs and spreadsheets

Keyword tip 🧠: use buyer intent phrases like agency, shop, clinic, coach, studio, local service, plus a location when needed 🎯📍

Launch Your First Facebook Email Scraping Task 🏁

• Step 1 📝: add keywords you want to target
• Step 2 🎛️: set max emails per keyword and optional filters like emailDomains and location
• Step 3 ▶️: run the actor on Apify
• Step 4 📥: export results from the dataset or read them via API

Tip 💡: start with 1 to 3 keywords and a small maxEmails to validate relevance before scaling

Recommended starter configuration ✅: 3 to 10 keywords, maxEmails 25 to 100, optional emailDomains and location 🎛️📍

Solving Real Problems with Facebook Email Scraper 🧠

• Influencer outreach 🤝: find creator contact emails by niche keywords
• Local lead generation 🗺️: combine keyword plus location for local businesses
• Agency prospecting 🏢: build segmented lists for client acquisition
• Partnership sourcing 🔗: find brands, shops, and creators for collaborations
• Market research 📊: map who is publicly advertising an email in the niche

What Sets Facebook Email Scraper Apart? 🌟

• Search driven discovery 🔎: uses Google indexing to locate profiles that mention contact emails in snippets
• Focused output 🎯: delivers a simple clean dataset ready for outreach workflows
• Practical filtering 🧰: domain and location options help reduce noise
• Apify native ✅: runs in the cloud with datasets, exports, schedules, and API access

search limit and capacity 📈

• Per keyword limit 🔢: controlled by maxEmails
• Pagination behavior 📄: checks Google result pages until it reaches maxEmails or it hits 5 pages in a row with no emails
• Result density varies 🎲: some keywords have many emails in snippets, others have almost none
• Run scalability 🚀: add more keywords to the keywords list, but note the actor processes keywords sequentially

Scaling tips 🛡️: use narrower keywords, add location, increase maxEmails gradually, and keep emailDomains set when possible 🎯📍🧰

is it legal ⚖️

This actor is intended for publicly available data and legitimate business use ✅

• Follow platform rules 📜: comply with Google and Facebook terms, plus Apify platform terms
• Respect privacy laws 🛡️: follow GDPR, CCPA, and local regulations for your region and use case
• Avoid spam 🚫: do not send unsolicited bulk emails, and always honor opt out requests
• Use consent based outreach when possible 🤝: focus on relevant offers and responsible messaging

If you are unsure, consult a qualified legal professional for your jurisdiction 👨‍⚖️

Required Input Fields 🧾

• keywords ✅📝: list of keywords to search (required)
• maxEmails 🔢: max emails per keyword (default 20)
• emailDomains 📧: list of allowed domains to keep
• location 📍: optional location term to narrow intent
• platform 🌐: platform name used for URL matching (default Facebook)
• engine ⚙️: engine label for internal behavior (default legacy)
• proxyConfiguration 🛡️: proxy config input (actor uses Apify Proxy group GOOGLE_SERP)

Input notes 📝

• keywords should be a list of strings, each string is searched separately 📚
• emailDomains should be domains like gmail dot com, outlook dot com, company dot com
• location is just a text hint added to the query, it is not a strict geo filter 📍

Required Output Fields 📤

• network 🌐
• keyword 📝
• title 🧾
• description 📄
• url 🔗
• email 📧

FAQ ❓

Mechanics of Facebook Email Scraper 🧩

It builds a Google query using site filtering for facebook dot com plus your keyword, optional location, and optional domain filters. It fetches Google result pages using Apify Proxy and extracts emails from each result block, then pushes each row to the Apify dataset ✅📦

Type of Facebook Email Scraper 🏷️

This is a keyword based Google SERP email extractor focused on Facebook profile results. It is not a direct Facebook page crawler 🧠

Our Facebook Email Scraper Test Findings 🧪

Results depend heavily on keyword choice and niche competition. For best outcomes, test multiple keyword variations, enable domain filters when possible, and review the Apify run log to see how many pages were needed per keyword 📊

Why scrape facebook email leads 🎯

• faster influencer outreach pipelines 🤝
• build targeted B2B prospect lists 🏢
• discover contact emails for brands and creators 📧
• enrich lead lists for CRM and sales automation 🔌

How Much Does Facebook Email Scraper Cost ? 💸

Cost depends on Apify compute units, run duration, and proxy usage. Check Apify pricing at https://apify.com/pricing and consider running a small sample first to estimate your real cost 🧾

Top Benefits of Facebook Email Scraper ✅

• quick email discovery by niche keywords ⚡
• structured dataset output for exports and API 📦
• domain and location filters to reduce noise 🎛️
• cloud runs on Apify with scheduling and integrations 🔄

Disadvantages of facebook email scraping ⚠️

• only captures emails that appear in Google snippets for Facebook profile results 👀
• some niches have low email visibility, so yield can be limited 🎲
• Google rate limits can reduce throughput without proxies ⏱️

How to Choosing a High-Performing Facebook Email Scraper 🏆

• choose tools that clearly state inputs and outputs 🧾
• prefer dataset based outputs for easy exports and automation 📦
• use proxy support for stable SERP access 🛡️
• validate with small test runs before scaling 📈

Ready to build better outreach lists with an Facebook email extractor? Run the actor, export your dataset, and plug it into your outreach workflow in minutes 🚀📧📦