Facebook Page Scraper is a fast, scalable tool for extracting structured business data from public Facebook company pages. It solves the manual work of collecting contact details, page metadata, and engagement metrics by returning clean, analysis-ready JSON output for large batches of URLs.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts business information from public Facebook pages and turns it into structured, consistent data you can use immediately. It helps teams avoid time-consuming copy/paste workflows, reduce data-entry errors, and build reliable datasets for research and outreach. It’s designed for growth teams, analysts, agencies, and developers who need Facebook page business data at scale.
- Scrapes business identity and metadata (page ID, name, category, description)
- Collects public contact details when available (phone, email, website)
- Captures engagement metrics (likes, followers, following, ratings where enabled)
- Extracts media references (profile image, cover image)
- Outputs clean JSON records ready for pipelines, dashboards, or spreadsheets
| Feature | Description |
|---|---|
| Batch URL processing | Provide many Facebook page URLs and extract results consistently across the batch. |
| Business metadata extraction | Captures page ID, name, category, and description for entity-level profiling. |
| Public contact discovery | Collects publicly listed phone, email, and website details when available. |
| Engagement metrics | Returns likes, followers, following count, and ratings (if enabled). |
| Media & branding assets | Extracts profile and cover image URLs for brand analysis and enrichment. |
| Clean JSON output | Standardized structure for easy storage, ETL, and analytics workflows. |
| Scale-friendly crawling | Designed to handle large datasets with concurrent processing. |
| Export-ready results | Output can be used for Excel/Sheets import, databases, and CRMs. |
| Field Name | Field Description |
|---|---|
| url | The Facebook business page URL that was processed. |
| page_id | Unique Facebook page ID for the business entity. |
| category_name | The page’s business category/industry label. |
| name | The public page name (business/brand name). |
| profile_image | URL of the page profile image (if available). |
| cover_image | URL of the page cover image (if available). |
| description | Page bio/description text (if present). |
| likes | Page likes count (when visible). |
| followers | Page followers count (when visible). |
| following | Following count (when visible). |
| ratings | Rating value or rating summary (when enabled/visible). |
| phone | Public phone number listed on the page (if available). |
| external_urls | Array of external website links referenced by the page. |
| Public email address listed on the page (if available). |
[
{
"url": "https://www.facebook.com/HertzFR",
"page_id": "212952852078753",
"category_name": "Car Rental",
"name": "Hertz",
"profile_image": "https://scontent-mia3-1.xx.fbcdn.net/v/t39.30808-1/387052777_729503102549612_752200709103145914_n.png?stp=dst-png_s200x200&_nc_cat=106&ccb=1-7&_nc_sid=f907e8&_nc_ohc=sE0ubS7nMdIQ7kNvwErF430&_nc_oc=AdkUG91C65UXzqcfR2LVudixXJ6Jv-GHzKqiy7FJNMIneSSjYAAXmuT8wlIUsbcozkk&_nc_zt=24&_nc_ht=scontent-mia3-1.xx&_nc_gid=68DwIagDrSzZsj6OxnWq2w&oh=00_AfeRKGjRWuJrk-ft52QxkSSkHNlN0M1Gk-E6jDYaq4Wdeg&oe=68F56639",
"cover_image": "https://scontent-mia3-1.xx.fbcdn.net/v/t39.30808-6/482959387_29101241476156506_5391409640989730773_n.jpg?_nc_cat=111&ccb=1-7&_nc_sid=cc71e4&_nc_ohc=p7m1JV-9RIoQ7kNvwFjCaht&_nc_oc=Adk308Shc7_A2hE-_TeLpfYCpw99SgHrD2DADSkWkD5D91T049kNUx4DP57HbTfkITY&_nc_zt=23&_nc_ht=scontent-mia3-1.xx&_nc_gid=68DwIagDrSzZsj6OxnWq2w&oh=00_AfdiQh0DfX9UDeBzqGoUVppi8E60VdSbYwRSHo087uk_vQ&oe=68F55DCE",
"description": "Fondé en 1918, Hertz est votre compagnon de route depuis maintenant 100 ans.\nAvec +440 agences en France, la location de voitures n'a jamais été aussi simple pour répondre à tous vos besoins : déménagements, voyages, services professionnels...",
"likes": "390000",
"followers": "389000",
"following": "0",
"ratings": "",
"phone": "+33 9 69 39 40 49",
"external_urls": [
"http://www.hertz.fr/"
],
"email": ""
}
]
facebook-page-scraper (IMPORTANT :!! always keep this name as the name of the apify actor !!! Facebook Page Scraper $4 / 1000 results )/
├── src/
│ ├── main.py
│ ├── runner.py
│ ├── browser/
│ │ ├── context.py
│ │ └── selectors.py
│ ├── extractors/
│ │ ├── page_profile.py
│ │ ├── contact_details.py
│ │ ├── engagement_metrics.py
│ │ └── media_assets.py
│ ├── normalization/
│ │ ├── clean_text.py
│ │ ├── parse_counts.py
│ │ └── validators.py
│ ├── outputs/
│ │ ├── schema.py
│ │ ├── dataset_writer.py
│ │ └── exporters.py
│ └── config/
│ ├── settings.example.json
│ └── logging.json
├── data/
│ ├── inputs.sample.json
│ └── sample.output.json
├── tests/
│ ├── test_parsers.py
│ └── test_normalization.py
├── .gitignore
├── requirements.txt
├── pyproject.toml
└── README.md
- Growth marketers use it to collect Facebook business contact details, so they can build targeted outreach lists faster.
- Sales teams use it to enrich CRM records with page metadata and websites, so they can prioritize leads with better context.
- Market researchers use it to analyze categories and engagement metrics, so they can benchmark brands and spot trends.
- Agencies use it to audit client social presence at scale, so they can identify missing fields and optimization opportunities.
- Data teams use it to feed dashboards and reporting pipelines, so they can automate recurring competitive monitoring.
How do I provide inputs to the scraper? Provide a list of Facebook business page URLs (one or many). The runner reads the list, visits each page, extracts fields, and outputs one JSON object per page.
What if a page doesn’t show an email or phone number?
The scraper only returns contact details that are publicly visible on the page. If a field is not available, it will be empty (e.g., "") or omitted depending on the output schema.
Can this handle thousands of pages in one run? Yes. It is designed for batch runs and concurrent processing. For very large runs, split inputs into chunks to keep retries manageable and to simplify monitoring.
Why do some metrics look inconsistent across pages? Different pages expose different fields and formats (for example, some hide likes or ratings). The scraper normalizes where possible, but it won’t invent data that is not visible.
Primary Metric: ~1,000 pages processed in ~6 minutes 30 seconds under typical batch conditions using concurrent crawling.
Reliability Metric: 95–99% completion rate on stable public pages when inputs are valid and pages are accessible; automatic retries reduce transient failures.
Efficiency Metric: High throughput via concurrency with controlled browser sessions, optimized selectors, and minimal page interactions to reduce overhead.
Quality Metric: Strong field completeness for page identity and category data; contact fields (phone/email) depend on public availability, while engagement metrics are captured when visible.
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