Facebook Email Scraper

Facebook Email Scraper - Public Contact Emails from Facebook Pages and Profiles

The Facebook Email Scraper is an Apify Actor that collects publicly indexed contact emails belonging to Facebook Pages, profiles and community pages. Give it keywords, get a structured dataset of leads.

The Facebook Email Scraper works by running site:facebook.com searches through the Apify GOOGLE_SERP proxy and parsing addresses out of the result blocks. That is the whole mechanism, stated plainly.

The Facebook Email Scraper does not log into Facebook, does not use Meta's Graph API and does not open facebook.com. No browser, no JavaScript rendering, no authentication, no cookies.

Everything the Facebook Email Scraper returns already exists in Google's public index: titles, snippets and site labels. If a contractor published quotes@gmail.com on a Page that Google crawled, this Actor can surface it.

That makes it a Facebook email extractor for keyword-driven contact discovery and local lead generation. You do not need a list of Page URLs - you start from an industry, a job title or a city.

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Key Features

Feature	What it does
Keyword-driven search	Start the Facebook Email Scraper from an industry or job title, not from a list of Page URLs
Query expansion	Each keyword x domain pair runs as base, quoted, intitle: and one variant per modifier
Domain filtering	Only emails on the domains you list (@gmail.com, @yahoo.com, ...) are kept
Obfuscation handling	Understands name [at] domain [dot] com, name (at) domain, name @ domain.com, domain .com, zero-width characters and the full-width at sign
Junk filter	Rejects placeholders such as email@, yourname@, test@, xxx@ and single-character locals
Boundary-correct matching	@gmail.com never matches inside @gmail.company or @gmail.com.br
Global deduplication	One row per unique email across every query and every page
Concurrency	An asyncio worker pool runs several queries in parallel with a shared stop signal
Retry logic	Up to 3 attempts per page, exponential backoff, a fresh proxy session per request
Block detection	CAPTCHA, "unusual traffic" and consent pages are detected and retried, never counted as empty
Resumable state	Progress lives in the key-value store, keyed by a hash of your input
Fallback parser	If Google's markup changes, a run degrades to "emails without account details", not "no emails"
Live dataset writes	Each lead reaches the Apify dataset the moment it is found
Location targeting	An optional location phrase is appended to every query

The Facebook Email Scraper parser locates each <h3> title, then the smallest surrounding block. It does not depend on Google's CSS class names, which is why the Facebook Email Scraper tolerates most SERP layout changes.

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How the Facebook Email Scraper Works

The Facebook Email Scraper pipeline is short, deterministic and fully auditable from the query field it stores on every row.

1. Read input. Keywords, location, email domains and limits are validated.
2. Build queries. The Facebook Email Scraper composes site:facebook.com queries, e.g. site:facebook.com roofing contractor "@gmail.com" "Austin".
3. Expand queries. Base queries run first, then quoted, intitle: and one variant per query modifier.
4. Fetch search results. Pages are retrieved asynchronously with aiohttp through the Apify GOOGLE_SERP proxy.
5. Parse structurally. Each result block is isolated around its <h3> heading.
6. Extract emails. A domain-filtered regex pulls addresses from the block text after normalisation.
7. Deduplicate and push. Every new lead is written straight to the dataset as structured data.

Pagination per query is capped by maxPagesPerQuery. A query stops early once several consecutive pages yield no new email, so the crawler does not burn proxy calls on an exhausted result set.

Blocked or failed queries are re-queued once at the end of the run. The Facebook Email Scraper then logs a summary: pages fetched, blocked pages, retries and emails per page.

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What Data Does It Extract?

Every Facebook Email Scraper dataset item pairs an email with whatever account metadata Google exposed, plus provenance so you can trace each address back to its query.

Facebook is a mixed-surface platform, and that shows in the output. Business Pages usually expose a vanity path such as facebook.com/austinroofingco, which the Facebook Email Scraper turns into a username and a canonical profileUrl.

Group, event and numeric profile.php results do not expose a usable handle. Those rows carry accountName and fullName with username: null and an empty profileUrl - a Google limitation, not a bug.

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Input Schema for the Facebook Email Scraper

Field	Type	Default	Meaning
keywords	array (required)	["founder", "small business"]	Search terms describing the accounts you want (niche, job title, industry)
location	string	""	Optional location phrase added to every query
customDomains	array	["@gmail.com", "@yahoo.com"]	Only emails on these domains are kept; the leading @ is optional
maxEmails	integer 1-10000	20	Stop after this many unique emails
countryCode	string	""	Two-letter country for the search proxy (US, GB, DE...)
expandQueries	boolean	true	Search each keyword x domain pair in several phrasings
queryModifiers	array	["email", "contact", "business inquiries", "collab", "booking", "dm"]	Extra words combined with each keyword when expansion is on
maxPagesPerQuery	integer 1-50	30	Page cap per query
maxConcurrency	integer 1-20	5	Parallel queries

The defaults are tuned for Facebook's small-business population. contact, booking and business inquiries are the phrases Page owners type beside an address, which is why the Facebook Email Scraper ships with them.

JSON input example

{
  "keywords": ["roofing contractor", "wedding venue", "auto detailing"],
  "location": "Austin",
  "customDomains": ["@gmail.com", "@yahoo.com", "@hotmail.com"],
  "maxEmails": 500,
  "countryCode": "US",
  "expandQueries": true,
  "queryModifiers": ["contact", "email", "booking", "business inquiries"],
  "maxPagesPerQuery": 30,
  "maxConcurrency": 5
}

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Output Schema and Structured Data Fields

Every item the Facebook Email Scraper writes carries all 14 fields below, so a CSV, XLSX or JSON export always has identical columns.

Field	Meaning
network	Platform name
keyword	The keyword that produced the lead
query	The exact Google query used
title	Raw result title
accountName	Account label Google prints (Page handle or display name)
fullName	Display name parsed from a profile-style title; empty for post captions
username	URL-safe handle when Facebook exposes one; otherwise null
profileUrl	Canonical account URL when a handle is known; otherwise empty
url	Direct platform link when exposed, else the profile URL
description	Bio or post snippet, cleaned of labels and engagement counters
email	Lower-cased email address
emailDomain	The matched domain (e.g. @gmail.com)
possiblyTruncated	true when Google's snippet ellipsis touched the email - verify before sending
foundAt	ISO 8601 UTC timestamp

JSON output example

[
  {
    "network": "Facebook",
    "keyword": "roofing contractor",
    "query": "site:facebook.com roofing contractor \"contact\" \"@gmail.com\" \"Austin\"",
    "title": "Lone Star Roofing Co - Home | Facebook",
    "accountName": "lonestarroofingco",
    "fullName": "Lone Star Roofing Co",
    "username": "lonestarroofingco",
    "profileUrl": "https://www.facebook.com/lonestarroofingco",
    "url": "https://www.facebook.com/lonestarroofingco",
    "description": "Residential roofing in Austin, TX. Free inspections. Contact: lonestarroofing.tx@gmail.com",
    "email": "lonestarroofing.tx@gmail.com",
    "emailDomain": "@gmail.com",
    "possiblyTruncated": false,
    "foundAt": "2026-04-22T15:08:31Z"
  },
  {
    "network": "Facebook",
    "keyword": "wedding venue",
    "query": "site:facebook.com wedding venue \"booking\" \"@yahoo.com\"",
    "title": "Hill Country Wedding Vendors | Facebook",
    "accountName": "Hill Country Wedding Vendors",
    "fullName": "",
    "username": null,
    "profileUrl": "",
    "url": "https://www.facebook.com/groups/1184920371",
    "description": "Booking enquiries to hillcountryvenue@yahoo.com ...",
    "email": "hillcountryvenue@yahoo.com",
    "emailDomain": "@yahoo.com",
    "possiblyTruncated": true,
    "foundAt": "2026-04-22T15:09:12Z"
  }
]

The second row is the honest case. Google served a group page, so there is no vanity handle to build a profileUrl from, and the snippet ellipsis touched the address.

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How to Use the Facebook Email Scraper in Five Steps

1. Open the Actor and confirm your account has Apify proxy access. The GOOGLE_SERP proxy is required.
2. Enter 3-10 keywords. Trade names beat categories: HVAC repair outperforms home services.
3. Choose email domains. Facebook's SMB population skews older, so keep @yahoo.com and add @hotmail.com and @aol.com.
4. Set maxEmails. Start at 20 to check quality, then raise it.
5. Run, then export. Download the dataset as CSV, JSON or XLSX, or pull it via the Apify API into your CRM.

Add a location when you are prospecting a city with the Facebook Email Scraper. Local businesses are the densest source of published addresses on this network.

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Facebook Email Scraper Use Cases

Use case	Who it is for	How the Facebook Email Scraper helps
Local business lead generation	Agencies and SMMAs	Combine a trade keyword with a location for citywide prospect lists
Home services outreach	Franchise and SaaS sales	Reach roofers, plumbers, landscapers who publish a Page email
Community and group outreach	Event organisers, nonprofits	Find admins who list a contact address on public group pages
Event and venue sales	Hospitality suppliers	Collect venue and caterer emails per metro area
Real estate prospecting	Brokerages, proptech	Target agent Pages by city
Recruitment sourcing	Staffing firms	Search job titles that appear on public profiles
Market research	Analysts	Sample how a local trade presents itself and who publishes contact details
CRM enrichment	RevOps teams	Feed structured data straight into an existing pipeline

For multi-channel campaigns, run the same keywords through the Instagram Email Scraper - almost every Facebook Page for a local business has an Instagram twin. B2B lists pair well with the LinkedIn Email Scraper.

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Why Use This Actor for Facebook Contact Discovery

Most Facebook lead scrapers are browser extensions that require you to be logged in and scrolling. The Facebook Email Scraper takes the opposite route: no session, no extension, no account risk on your side.

Because the Facebook Email Scraper never touches facebook.com, there is no login, no Graph API quota and nothing to maintain. Its only dependency is Apify's search proxy.

The extraction layer is where the value sits. Normalisation, obfuscation handling, the junk filter, boundary-correct domain matching and soft-wrap repair remove most of the noise naive regex email scraping produces.

Facebook Page descriptions are full of phone numbers, addresses and hours. The Facebook Email Scraper cleans labels and engagement counters out of description so the snippet you export is readable.

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Limitations

Read this before planning a campaign around the Facebook Email Scraper.

• Public index only. It finds accounts whose email is publicly visible in Google's index. Addresses behind login walls, in the Page "About" tab Google never crawled, or rendered in images are out of reach.
• Google's ~300-result cap. A single query returns roughly 300 results at most. Query expansion exists to work around that ceiling, so keep expandQueries on for volume.
• possiblyTruncated. When Google's snippet ellipsis touched an address, the row is flagged. Verify those rows before sending.
• Handle availability. username and profileUrl are populated only when Google's result exposes a vanity handle. Group, event and profile.php results return accountName and fullName instead.
• Apify proxy required. The Facebook Email Scraper cannot run without Apify GOOGLE_SERP proxy credentials.
• Free-plan cap. Free Apify plans are capped at 100 emails per run. Paid plans are uncapped.
• No volume guarantee. Results vary with keywords, domains, location and what Google has indexed. Nothing is guaranteed, verified or real-time.

The Facebook Email Scraper is not affiliated with, endorsed by or officially supported by Facebook or Meta. Use the output in line with GDPR, CAN-SPAM and local marketing law.

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Related Actors

The Facebook Email Scraper shares its engine and output schema with every Actor below, all part of the Social, Creator & Community family.

Actor	What it collects
Facebook Email and Phone Number Scraper	Emails and phone numbers from Facebook
Facebook Phone Number Scraper	Public phone numbers from Facebook
Behance Email Scraper	Public contact emails from Behance
Bigo Live Email Scraper	Public contact emails from Bigo Live
Bluesky Email Scraper	Public contact emails from Bluesky
Bumble Email Scraper	Public contact emails from Bumble
Clubhouse Email Scraper	Public contact emails from Clubhouse
Dailymotion Email Scraper	Public contact emails from Dailymotion
DeviantArt Email Scraper	Public contact emails from DeviantArt
Discord Email Scraper	Public contact emails from Discord
Dribbble Email Scraper	Public contact emails from Dribbble
Goodreads Email Scraper	Public contact emails from Goodreads
Hinge Email Scraper	Public contact emails from Hinge
Instagram Email Scraper	Public contact emails from Instagram
KakaoTalk Email Scraper	Public contact emails from KakaoTalk
Kick Email Scraper	Public contact emails from Kick
Lemon8 Email Scraper	Public contact emails from Lemon8
Likee Email Scraper	Public contact emails from Likee
LINE Email Scraper	Public contact emails from LINE
LinkedIn Email Scraper	Public contact emails from LinkedIn
Mastodon Email Scraper	Public contact emails from Mastodon
Medium Email Scraper	Public contact emails from Medium
Mixcloud Email Scraper	Public contact emails from Mixcloud
Patreon Email Scraper	Public contact emails from Patreon
Pinterest Email Scraper	Public contact emails from Pinterest
Quora Email Scraper	Public contact emails from Quora
Reddit Email Scraper	Public contact emails from Reddit
Rumble Email Scraper	Public contact emails from Rumble
Snapchat Email Scraper	Public contact emails from Snapchat
SoundCloud Email Scraper	Public contact emails from SoundCloud
Substack Email Scraper	Public contact emails from Substack
Telegram Email Scraper	Public contact emails from Telegram
Threads Email Scraper	Public contact emails from Threads
TikTok Email Scraper	Public contact emails from TikTok
Tinder Email Scraper	Public contact emails from Tinder
Tumblr Email Scraper	Public contact emails from Tumblr
Twitch Email Scraper	Public contact emails from Twitch
Vimeo Email Scraper	Public contact emails from Vimeo
VK Email Scraper	Public contact emails from VK
WeChat Email Scraper	Public contact emails from WeChat
Weibo Email Scraper	Public contact emails from Weibo
X Email Scraper	Public contact emails from X

Example: Building a Home-Services Prospect List

Here is a realistic Facebook Email Scraper run. You sell scheduling software to trades and want 400 contractor leads in Texas.

Set keywords to ["roofing contractor", "HVAC repair", "landscaping company"], location to Texas, customDomains to ["@gmail.com", "@yahoo.com", "@hotmail.com"] and maxEmails to 400.

The Facebook Email Scraper builds base, quoted, intitle: and modifier variants per keyword, then paginates the search results with five parallel workers. Rows stream into the dataset live, so you can watch quality before committing the full run.

Sort the Facebook Email Scraper dataset by possiblyTruncated, verify the flagged rows manually, then load the rest into your sequencer. Run the same keywords through the Instagram Email Scraper to catch the businesses that publish contact details there instead.

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Facebook Email Scraper FAQ

Does the Facebook Email Scraper log into Facebook? No. It never authenticates, never opens facebook.com and never uses Meta's Graph API. Every field comes from Google's public search results.

Where do the Facebook Email Scraper emails actually come from? From titles, snippets and site labels Google already publishes for indexed Facebook pages - usually Page descriptions and public posts where the owner wrote the address themselves.

Can it extract emails from private Facebook groups? No. If the content is not in Google's public index, the Facebook Email Scraper cannot see it. Only publicly indexed pages are in scope.

Why do some rows have no username or profileUrl? Because Google's result exposed no vanity handle - typically group, event or numeric profile.php URLs. Those rows still include accountName, the email and the snippet.

What does possiblyTruncated: true mean? Google's snippet ellipsis touched the address, so it may be cut short. Treat those as leads to verify rather than send-ready contacts.

How many emails can one Facebook Email Scraper run return? Free Apify plans stop at 100 emails per run. Paid plans are uncapped and bounded only by maxEmails and what Google has indexed.

Why does a single query not return thousands of results? Google caps one query at roughly 300 results. Query expansion multiplies keyword x domain x phrasing so the Facebook Email Scraper reaches past that ceiling.

Do I need a proxy to run the Facebook Email Scraper? Yes. It requires the Apify GOOGLE_SERP proxy and will not run without Apify proxy credentials.

Can I target a city, state or country? Yes. Use location for a phrase appended to every query, and countryCode for the search proxy's country.

Which email domains work best on Facebook? Facebook's small-business base leans on legacy providers, so @gmail.com, @yahoo.com, @hotmail.com and @aol.com all pay off.

Can I resume an interrupted run? Yes. Progress is saved in the key-value store, keyed by a hash of your input, and persists on Apify's PERSIST_STATE, MIGRATING and ABORTING events.

Is scraping Facebook emails legal? The Actor collects only publicly indexed information, but how you use it is your responsibility. Follow GDPR, CAN-SPAM and local rules on unsolicited outreach.

How do I get more leads from one niche? Add query modifiers, widen customDomains, raise maxPagesPerQuery and run neighbouring trade keywords rather than one broad category.

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Support

Questions about the Facebook Email Scraper, bug reports or a custom build? Email neurodata.apify@gmail.com.