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Facebook Page Phone Number Scraper

Pricing

$24.99/month + usage

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Facebook Page Phone Number Scraper

Facebook Page Phone Number Scraper

Facebook Page Phone Number Scraper gathers public phone contacts for agencies and B2B teams. Filter pages by niche or location to streamline prospecting and outbound calling efficiently.

Pricing

$24.99/month + usage

Rating

0.0

(0)

Developer

Scrapier

Scrapier

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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What does Facebook Page Phone Number Scraper do?

A Facebook Page Phone Number Scraper is a data extraction tool that collects phone numbers listed on Facebook business pages and organizes them into a structured dataset. Instead of manually opening hundreds of pages and copying contact details one by one, this scraper automates the process and delivers clean results in minutes.

It typically works by scanning public Facebook pages (or page URLs you provide), detecting contact fields such as phone number, and exporting the extracted information into formats like CSV, JSON, or Excel.

This tool is especially useful for sales teams, lead generation agencies, market researchers, and local business directories that need reliable contact information at scale.


What Facebook Page Phone Number Scraper can I extract?

Here’s the type of data you can extract using a Facebook Page Phone Number Scraper:

Data FieldDescription
Page nameBusiness or brand name shown on the Facebook page
Page URLDirect link to the Facebook page
Phone numberPublic phone number listed in contact info
Country codeExtracted if included in the number
CategoryBusiness category (e.g., Restaurant, Dentist, Real Estate)
WebsiteWebsite URL connected to the Facebook page
Email (if available)Public email listed on the page
AddressLocation or business address
City / RegionExtracted from address details
Reviews ratingStar rating if visible publicly
Number of reviewsCount of reviews on the page
Followers / likesPublic metrics shown on the page
About sectionBusiness description (if available)

Key Features of “Facebook Page Phone Number Scraper” Scraper

A high-quality Facebook Page Phone Number Scraper usually includes the following features:

  • Phone number extraction at scale from Facebook pages

  • Bulk scraping using page URLs, search results, or category lists

  • Accurate parsing of phone numbers and contact fields

  • Export-ready output in CSV, JSON, XLSX formats

  • Duplicate removal to keep your dataset clean

  • Structured results suitable for CRM imports

  • Fast processing even for large scraping jobs

  • Retry + error handling to reduce failed records


How to use Facebook Page Phone Number Scraper

Using the Facebook Page Phone Number Scraper is straightforward, even for non-technical users. Here’s the standard workflow:

  1. Prepare your input
  • Add Facebook page URLs (one per line), or

  • Use search-based input like keywords, categories, or locations.

  1. Configure scraper settings
  • Choose how many pages you want to scrape.

  • Enable extraction fields such as phone number, address, website, etc.

  1. Run the scraper
  • Start the scraping process.

  • The actor will visit each page and extract contact details.

  1. Download your results
  • Export the output into CSV/JSON/Excel.

  • Use it in your CRM, outreach list, directory, or analytics pipeline.


🎯 Use Cases of Facebook Page Phone Number Scraper

A Facebook Page Phone Number Scraper supports many real-world business needs, including:

  • Lead generation for sales teams

  • Build lists of local businesses and reach them directly.

  • Marketing outreach

  • Collect phone contacts for service-based industries in a region.

  • Local SEO agencies

  • Extract business data for audits and client prospecting.

  • Business directories

  • Create structured directories by niche and city.

  • Market research

  • Analyze business density, categories, and contact availability.

  • Competitor intelligence

  • Collect competitor contact data and compare positioning.

  • Customer support discovery

  • Find official support phone numbers for brands.


How much Facebook Page Phone Number Scraper will cost you?

This scraper uses a pay-per-result pricing model, so costs are simple to calculate.

Instead of paying a flat monthly fee, you only pay based on how many results you successfully extract.

With the Apify Free plan, you get $5 free usage credits each month, allowing you to scrape over X data for free with those credits.

Typical cost formula:

Total cost = number of extracted results × cost per result

So if the scraper charges per extracted page record, your cost scales directly with the size of your dataset.


Scraping legality depends on what data you scrape, how you scrape it, and how you use it.

In general:

  • Scraping publicly available business contact information is often legal in many jurisdictions.

  • Scraping must still comply with:

  • Facebook’s Terms of Service

  • Privacy laws (GDPR, CCPA, etc.)

  • Anti-spam rules for outreach

Best practice: only scrape public business data and use it responsibly (e.g., avoid personal data, avoid harassment, comply with opt-outs).

If you’re using scraped phone numbers for outreach, you should also follow applicable telemarketing laws and consent requirements.


Facebook Page Phone Number Scraper Input and Output parameters

⬇️ Input

{
"keywords": ["Facebook Page Phone Number Scraper"],
"country": "Global",
"maxPhoneNumbers": 20,
"platform": "Facebook",
"engine": "legacy"
}

⬆️ Output

[
{
"platform": "Facebook",
"keyword": "Facebook Page Phone Number Scraper",
"title": "Example Facebook profile",
"description": "Example description with phone number",
"url": "https://www.facebook.com/example/",
"phone_number": "+1234567890",
"country": "Global",
"dial_code": "Auto-detected"
}
]

FAQ

How does Facebook Page Phone Number Scraper identify data

A seed keyword works as the starting point for discovery. The scraper uses it to locate relevant Facebook pages by matching:

  • page name

  • category relevance

  • business descriptions

  • location context (if included)

For example, the seed keyword “plumber Miami” helps the scraper find pages that match both the niche (plumber) and location (Miami).


Why scrape Facebook Page Phone Number Scraper

Scraping Facebook page phone numbers is valuable because Facebook remains one of the largest sources of business contact data, especially for local companies.

It helps you:

  • build outreach lists faster

  • reduce manual research time

  • create organized lead databases

  • extract contacts for directory building


How much does it cost to use our “Facebook Page Phone Number Scraper

The cost depends on how many results you scrape.

Because it uses pay-per-result pricing, you can estimate easily:

  • Small scraping job (100 pages) = low cost

  • Large scraping job (10,000 pages) = higher cost

  • You can also use the $5 free Apify credits monthly to scrape X results free.


How Facebook Page Phone Number Scraper Helps You

This scraper helps you by automating contact collection and producing structured data you can immediately use for:

  • sales prospecting

  • customer acquisition campaigns

  • business intelligence

  • local market expansion

  • competitor analysis

Instead of spending hours copying phone numbers manually, you can collect thousands of records in one run.


Challenges When Using Facebook Page Phone Number Scraper

Some realistic challenges include:

  • Missing phone numbers (not all pages display contact info)

  • Rate limiting / blocking if scraping too aggressively

  • Inconsistent formatting of phone numbers across regions

  • Location ambiguity for businesses with multiple branches

  • Outdated data if a page has not been updated recently

Using proxies, limiting request speed, and running validation checks improves output quality.


Selecting the Best Facebook Page Phone Number Scraper

When choosing the best scraper, prioritize:

  • accuracy of phone extraction

  • export formats (CSV/XLSX/JSON)

  • proxy support

  • ability to scrape from URLs + keyword search

  • handling of duplicates

  • pricing transparency (pay-per-result is ideal)

  • reliability and speed on large datasets

A good tool should produce structured output that’s immediately usable in CRMs, outreach tools, or analytics dashboards.