Facebook Email Scraper - Multi-Engine, Type Targeted

Facebook Email Scraper

Facebook Email Scraper helps you extract publicly available contact details from Facebook profiles and pages for faster outreach, research, and prospecting. It’s built for marketers, analysts, and researchers who need reliable Facebook email extraction, Facebook contact scraper results, and a scalable social media email scraper without the manual grind. 🚀

What Does Facebook Email Scraper Do? 🤖

Facebook Email Scraper collects publicly available data using your search terms, country target, source region, email type, and result limit. During a run, it scrapes relevant Facebook profile data, extracts contact information when available, filters results based on your settings, and saves everything into a structured dataset. This makes Facebook data extraction much faster than checking profiles one by one. It’s a practical Facebook leads scraper and Facebook profile scraper for teams that need repeatable results at scale.

What Can Facebook Email Scraper Extract? 📊

This actor saves clean, structured records for each discovered result. The dataset includes the keyword used to find the profile, the profile title, the URL, a description, email details, the email domain, email type, where the result was found, and the selected country. It’s ideal for Facebook contact extraction, Facebook profile email finder workflows, and lead generation scraper use cases.

Data Type	Field Name	Description
Discovery	keyword	The search term that surfaced the result
Identity	title	The profile or page title
Navigation	url	Direct link to the profile or page
Context	description	A short public description or summary
Contact	email	The extracted email address
Contact	email_domain	The domain part of the email address
Contact	email_type	The email category selected for the run
Discovery	scrape_from	The Facebook section or source region the result came from
Location	country	The selected target country

Key Features of Facebook Email Scraper ⚡

• ✅ Keyword-Driven Discovery: Use your search terms to find relevant Facebook profiles and pages for targeted Facebook account data extraction.
• 🌍 Country Targeting: Choose a source country to focus your Facebook user lookup efforts on the right market.
• 📍 Source Region Filtering: Narrow results by Profiles, Posts, Groups, Videos, Photos, Events, Reels, or Marketplace.
• 📧 Email Type Selection: Choose between B2C and B2B to align with your outreach strategy and lead generation scraper goals.
• 🔄 Built-In Proxy Support: Includes proxy support for more reliable scraping of publicly available sources.
• 📊 Structured Dataset Output: Each result is saved in a consistent JSON-like dataset format for easy export and analysis.
• 💾 Configurable Limits: Set maxEmails to control how many results the actor collects in a run.
• 🚀 Scalable Extraction: Designed for repeatable Facebook email harvesting and contact information scraper workflows.

How to Use Facebook Email Scraper 🚀

1. Open the Actor — Find Facebook Email Scraper in the Apify Store.
2. Configure Input — Add your search terms, choose a country, set the source region, and pick an email type.
3. Set Your Limit — Use maxEmails to control how many results you want.
4. Run the Actor — Start the run and let it collect public Facebook contact details.
5. Review the Dataset — Open the dataset to inspect scraped results.
6. Export the Data — Download results for CRM import, lead analysis, or research.

No coding required. ✨

Facebook Email Scraper Output Format 📦

The actor stores results in the Apify dataset using the exact schema below. Each item represents one scraped result from publicly available sources.

Output Example

[
  {
    "keyword": "fitness",
    "title": "FitLife Studio",
    "url": "https://www.facebook.com/FitLifeStudio",
    "description": "Local gym and wellness community in Austin, Texas.",
    "email": "contact@fitlifestudio.com",
    "email_domain": "fitlifestudio.com",
    "email_type": "B2B",
    "scrape_from": "Profiles",
    "country": "United States"
  }
]

Output Fields

Field	Label	Format	Description
keyword	Keyword	text	The search term used to find the result
title	Title	text	The name of the profile or page
url	URL	link	Direct link to view the result
description	Description	text	Public description or summary text
email	Email	text	The extracted email address
email_domain	Email Domain	text	The domain portion of the email address
email_type	Email Type	text	The selected email category for the run
scrape_from	Scrape From	text	The Facebook source region selected in the input
country	Country	text	The country selected for the run

🎯 Use Cases of Facebook Email Scraper

• B2B Lead Generation: Build targeted lists from public Facebook profiles and pages for outreach campaigns.
• Email Marketing Campaigns: Collect contact details for newsletters, promotions, and follow-up sequences.
• Market Research: Track niche communities and audiences using Facebook data extraction.
• CRM Enrichment: Add public contact information to your existing records for better segmentation.
• Social Network Scraper Workflows: Support broader research across public social platforms with structured contact data.

How Much Will Facebook Email Scraper Cost You? 💰

The cost depends on how much data you ask the actor to collect and how many results it returns. Use maxEmails to cap spending and keep runs predictable. For volume projects, this is a flexible email extraction tool because you can balance scale and budget without over-collecting unnecessary data. View usage directly in the Apify Console while the actor runs. 📈

Is It Legal to Scrape Facebook? ⚖️

This actor only works with publicly available data and does not access private profiles or protected content. As with any contact information scraper, you are responsible for following applicable laws, platform terms, and anti-spam rules in your region. Use the results for legitimate research, marketing, or recruitment purposes. If you have questions, contact scrapido.support@gmail.com.

Facebook Email Scraper Input Parameters 📋

{
  "country": "United States",
  "emailType": "B2C",
  "engine": "legacy",
  "maxEmails": 20,
  "searchTerms": [
    "fitness",
    "gym",
    "workout"
  ],
  "sourceRegion": "All"
}

Parameter	Type	Required	Default	Description
country	String	Yes	United States	Selects the country to target for the run
emailType	String	Yes	B2C	Chooses whether the actor focuses on B2C or B2B results
engine	String	No	legacy	Chooses the scraping engine
maxEmails	Integer	Yes	20	Sets the maximum number of emails to collect
searchTerms	Array	Yes	["fitness","gym","workout"]	Lists the search terms used to find Facebook profiles
sourceRegion	String	Yes	All	Selects the Facebook source region to target

During the Actor Run ⏱️

You can follow progress in the Apify Console through live logs while the actor processes your search terms. Results are saved to the dataset during the run, so you can inspect them early if needed. Runtime depends on how broad your search terms are, the selected country, and the maxEmails limit. If you need tighter control, reduce the search scope or adjust the source region.

Final Note ✉️

Start collecting Facebook contact extraction results in minutes and turn public Facebook profiles into organized lead lists. Try Facebook Email Scraper for faster research, simpler outreach, and more scalable Facebook leads scraper workflows. Questions? Reach us at scrapido.support@gmail.com.

FAQ — Facebook Email Scraper ❓

How does Facebook Email Scraper find emails?

It uses your search terms and filters to discover relevant public Facebook results, then captures contact details that are publicly available. The actor returns only what it can verify from the public web data it processes.

What types of Facebook profiles can I scrape?

You can target public results from Facebook source regions such as Profiles, Reels, Posts, Groups, Videos, Photos, Events, and Marketplace. Private or restricted content is not included.

Why use Facebook Email Scraper for lead generation?

It saves time by turning manual Facebook user lookup into an automated workflow. That makes it useful for marketers, researchers, and teams building contact lists from public sources.

What makes this a useful social media email scraper?

It combines keyword targeting, country selection, source-region filtering, and structured output. That’s a strong fit for anyone comparing social network scraper tools for lead discovery and analysis.

How much does Facebook Email Scraper cost to use?

The cost is tied to how many results you collect and how broadly you search. Use maxEmails to keep each run within your planned budget.

Can I use this for Facebook email harvesting at scale?

Yes, as long as you stay within the actor’s input limits and work with public data. It’s designed to support repeatable Facebook email harvesting workflows for research and outreach.

What should I do if I need help?

If you need support, have a bug report, or want to request a feature, contact scrapido.support@gmail.com.

🆘 Support & Feedback

Found a bug or need a custom feature for the Facebook Email Scraper?

• 🐞 Bug Reports: Contact our team directly
• ✨ Feature Requests: Tell us what you’d like improved
• 📧 Email: scrapido.support@gmail.com

Multiple Email Types

Email Types replaces the old single Audience Type choice: select as many kinds of mailbox as you want and the run chases all of them together.

Type	What it matches
Personal / free webmail	Gmail, Outlook, Yahoo, iCloud, AOL, Proton, ...
Business / corporate	Company domains - free webmail and institutions excluded
Education (.edu / .ac)	.edu, .ac.uk, .edu.au, .ac.in and other academic suffixes
Government (.gov / .mil)	.gov, .mil, .gov.uk, .gc.ca, ...
Non-profit (.org)	.org, .ngo, .org.uk, ...

Each selected type contributes its own Google dork patterns and its own domain test, so a result is only kept if it genuinely belongs to the type that found it. Every row carries an emailType field recording which one that was.

Suffixes are matched as real domain suffixes, so cs.mit.edu counts as Education while notedu.com does not.

Setting Custom Email Domains still overrides everything: an explicit domain list is a manual override and replaces the type-driven patterns. The legacy audienceType value is still accepted, so saved inputs keep working.