Facebook Profile Email Scraper - Keyword & Location Targeting avatar

Facebook Profile Email Scraper - Keyword & Location Targeting

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Facebook Profile Email Scraper - Keyword & Location Targeting

Facebook Profile Email Scraper - Keyword & Location Targeting

πŸ“˜ Facebook Profile Email Scraper searches profiles by keyword and location for public emails. πŸ”“ Domain filters, obfuscated-address decoding and duplicate handling. πŸ“€ Export profile leads to CSV, JSON or Excel.

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from $2.50 / 1,000 results

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Scrapido

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Facebook Profile Email Scraper

Facebook Profile Email Scraper helps you extract publicly available email addresses and profile details from Facebook profiles for faster outreach, research, and lead generation. It’s a practical Facebook email finder for marketers and analysts who want to streamline social media email extraction, profile contact scraping, and Facebook lead scraping at scale πŸ“¬

What Does Facebook Profile Email Scraper Do? πŸ€–

Facebook Profile Email Scraper collects publicly available contact details from Facebook profiles based on your keywords, target country, email contact type, and result limit. During a run, it filters profiles by the search terms you provide, gathers the available bio and contact clues, and stores structured results in your Apify dataset. This makes Facebook profile scraping much faster than manual review and helps automate Facebook email collection for research and outreach.

What Can Facebook Profile Email Scraper Extract? πŸ“Š

This actor saves a clean set of profile-level fields that are useful for contact info extraction, social network data scraping, and Facebook account scraper workflows. The output is structured for easy review, filtering, and export, so you can quickly identify relevant leads and compare results across keywords and countries.

Data TypeField NameDescription
Discoverysearch_termThe keyword that surfaced the profile
Identityprofile_nameThe name shown for the profile
Navigationprofile_urlDirect link to the Facebook profile page
ContextbioPublic bio or profile text found for the result
Contactemail_addressPublicly available email address
DomaindomainEmail domain associated with the address
ClassificationtypeEmail contact type selected for the run
Locationcountry_codeCountry code for the selected target country

Key Features of Facebook Profile Email Scraper ⚑

  • βœ… Keyword-Driven Search: Use one or more search terms to find relevant Facebook profiles and uncover leads by niche, title, or industry.
  • 🌍 Country Targeting: Focus your Facebook data extractor runs on a selected country to improve relevance for local outreach.
  • πŸ“§ B2C or B2B Filtering: Choose the email contact type that matches your lead generation goal.
  • πŸ”„ Reliable Scraping: Includes retries and fallbacks for resilience, helping the actor keep working even when results are inconsistent.
  • πŸ“Š Structured Dataset Output: Every result is saved in a clear, labeled format that’s easy to analyze or export.
  • πŸ’Ύ Run-Level Control: Set a maximum number of emails to collect with maxEmails so you can manage run size and output volume.
  • πŸ›‘οΈ Built-In Proxy Support: Designed for reliable scraping of publicly available data with proxy support at a high level, without extra setup complexity.

How to Use Facebook Profile Email Scraper πŸš€

  1. Open the Actor β€” Find Facebook Profile Email Scraper in the Apify Store and open it in the console.
  2. Add Search Keywords β€” Enter one or more keywords such as job titles, industries, or niche topics.
  3. Choose a Target Country β€” Select the country you want to focus on.
  4. Pick the Email Contact Type β€” Choose either B2C or B2B.
  5. Set the Limit β€” Define the maximum number of emails to collect with maxEmails.
  6. Run the Actor β€” Start the run and monitor progress in the logs.
  7. Review and Export Results β€” Open the dataset tab to inspect, filter, and export your data.

No coding required β€” just configure, run, and collect results.

Facebook Profile Email Scraper Output Format πŸ“¦

The actor saves results to the Apify dataset in a structured JSON format. Each record contains the exact fields shown below, making it easy to use the results for Facebook lead scraping, analysis, or CRM workflows.

Input Example

{
"keywords": [
"CEO",
"Marketing",
"Real Estate"
],
"country": "United States",
"emailType": "B2C",
"maxEmails": 20
}

Output Example

[
{
"search_term": "Marketing",
"profile_name": "Jessica Miller",
"profile_url": "https://www.facebook.com/jessica.miller.921",
"bio": "Marketing consultant helping small businesses grow online.",
"email_address": "jessica.miller@gmail.com",
"domain": "gmail.com",
"type": "B2C",
"country_code": "us"
}
]
FieldLabelFormatDescription
search_termSearch TermtextThe keyword used to find the profile
profile_nameProfile NametextThe name associated with the Facebook profile
profile_urlProfile URLlinkDirect URL to the Facebook profile, shown as a clickable link
bioBiotextPublic bio or profile text captured with the result
email_addressEmail AddresstextPublic email address found for the profile
domainDomaintextEmail domain extracted from the address
typeTypetextThe selected email contact type for the run
country_codeCountry CodetextCountry code tied to the selected target country

🎯 Use Cases of Facebook Profile Email Scraper

B2B Lead Generation: Build targeted lead lists by keyword and country for outbound campaigns. This is especially useful for profile contact scraping when you need business contacts from public Facebook profiles.

Email Marketing Campaigns: Find publicly available emails for outreach, newsletters, and follow-up sequences. The Facebook email finder workflow helps reduce manual prospecting time.

Market Research: Study how different communities, professionals, or local businesses present themselves on Facebook. Social network data scraping can support audience and competitor analysis.

CRM Enrichment: Add email addresses, profile names, and profile URLs to existing records for cleaner contact data and better segmentation.

Recruitment and Partnerships: Discover professionals and creators with public contact details, making it easier to start conversations without spending hours on manual research.

How Much Will Facebook Profile Email Scraper Cost You? πŸ’°

Pricing depends on your Apify usage and run volume. This actor helps control cost with the maxEmails setting, so you can cap how many emails are collected in each run. For smaller tests, start with the default value and scale up only when you’re happy with the results. That makes it a practical email lookup tool for both occasional and repeated use.

This actor accesses only publicly available data from Facebook profiles and does not require private access or login-based content. However, you are responsible for using the results in line with applicable laws, Facebook’s terms, and your local data privacy and anti-spam rules. Use the data for legitimate research, marketing, or recruitment purposes. For questions, support, or feedback, contact scrapido.support@gmail.com.

Facebook Profile Email Scraper Input Parameters πŸ“‹

{
"keywords": [
"CEO",
"Marketing",
"Real Estate"
],
"country": "United States",
"emailType": "B2C",
"maxEmails": 20
}
ParameterTypeRequiredDefaultDescription
keywordsArrayYes["CEO", "Marketing", "Real Estate"]One or more search terms to find Facebook profiles
countryStringYesUnited StatesThe target country used to focus the run
emailTypeStringYesB2CChoose whether you want B2C or B2B email contact types
maxEmailsIntegerYes20Maximum number of emails to collect in one run

During the Actor Run ⏱️

While the actor is running, you can follow progress in the logs and watch results appear in the dataset as they are collected. The runtime depends on your keywords, target country, and the number of emails you want to collect. If results are too limited, try broader keywords or test a different email contact type.

Final Note βœ‰οΈ

Start collecting Facebook profile emails in minutes with no manual copy-pasting. The Facebook Profile Email Scraper helps you turn public profile data into actionable leads at scale πŸ“¬

FAQ β€” Facebook Profile Email Scraper ❓

How does Facebook Profile Email Scraper find emails?

It uses your search keywords and country settings to find relevant Facebook profiles, then collects publicly available email addresses and profile details from the results. It focuses on contact info extraction from public web data.

What types of Facebook profiles can I scrape?

You can scrape public Facebook profiles that have visible profile information and publicly available email addresses. Profiles without public contact details will not produce email results.

What does Facebook Profile Email Scraper extract besides emails?

Besides email_address, the actor also captures search_term, profile_name, profile_url, bio, domain, type, and country_code, giving you a fuller view of each lead.

Why use a Facebook email finder instead of manual research?

A Facebook email finder saves time by automating profile review and result collection. Instead of checking profiles one by one, you can collect structured leads in a single run.

How much does Facebook Profile Email Scraper cost to use?

Your cost depends on Apify usage and how large you make each run. The maxEmails parameter helps you control the scope of the run and keep spending predictable.

Is Facebook profile scraping suitable for lead generation?

Yes, it’s a strong fit for Facebook lead scraping when you need publicly available contacts for outreach, partnerships, or research. It’s especially useful for social profile email scraper workflows.

Can I use this as a Facebook username to email tool?

Yes, if a public profile contains a visible email address, this actor can help you turn that profile into a contact lead. It works as a practical Facebook username to email lookup tool for public data.

How do I get help or share feedback?

For support, questions, or feature requests, contact 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.

TypeWhat it matches
Personal / free webmailGmail, Outlook, Yahoo, iCloud, AOL, Proton, ...
Business / corporateCompany 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.