Facebook Reviews Scraper - No Login Required

What does this scraper do?

This actor extracts reviews from any public Facebook page using the page ID.

Enter a page ID, run the actor, and receive structured review data including recommendation status, review messages, reactions, photos, and reviewer profile information.

No Facebook login, no cookies, no session handling required.

Cookieless architecture ensures stable, risk-free, and scalable automation.

Why scrape Facebook page reviews?

Facebook reviews provide direct customer sentiment, ratings, and qualitative feedback. This helps ecommerce teams, analysts, and marketers to:

• Monitor brand reputation in real time
• Perform large-scale sentiment analysis
• Benchmark competitors based on customer feedback
• Identify recurring complaints and feature requests
• Track recommendation rates and review engagement
• Extract structured review data for dashboards
• Build customer feedback intelligence systems

Its cookieless design fits scalable data pipelines without needing Facebook accounts.

How much will scraping cost?

The pricing for this actor is $2.50 per 1,000 scraped results. Refer to the pricing page.

Because this actor does not require login or session management, it reduces operational complexity and lowers the risk associated with account-based scraping. This predictable architecture keeps your data pipelines highly stable.

How to use the scraper

Here is a step-by-step guide:

Step 1: Open the actor: Go to your Apify Console and open the scraper.

Step 2: Enter your input parameters: In the input field, enter the numeric pageId of the Facebook page. You can find this in the page URL or About section.

Step 3: Start the run: Click Start to begin scraping. The actor will extract publicly available reviews.

Step 4: Export or integrate: Once complete, download the dataset in JSON, CSV, or connect it via API to your analytics or BI tools.

Input parameters

Below are the configuration options you can use to control the scraper.

Input example

{
  "pageId": "32467656765678"
}

Field	Type	Description
pageId	String	Numeric Facebook Page ID to extract reviews from

What data does this scraper extract?

Formats: JSON, CSV, Excel

Extracted Fields:

• type - Content type (review)
• post_id - Unique identifier for the review
• recommend - Whether the reviewer recommends the page
• message - Full review text
• author.id - Reviewer profile ID
• author.name - Reviewer display name
• author.url - Reviewer profile link
• author.profile_picture.uri - Reviewer profile image URL
• author.profile_picture.width - Image width
• author.profile_picture.height - Image height
• reactions_count - Total reactions on the review
• share - Number of shares
• photos - Attached images
• tags - Tagged users or pages

All data is returned as structured JSON with null-safe fields for reliable downstream processing.

Sample Output

{
  "type": "review",
  "post_id": "987654321098765",
  "recommend": true,
  "message": "Excellent customer service! The team was very responsive and helped me resolve my issue quickly. Highly recommend this business to anyone looking for quality products.",
  "author": {
    "id": "pfbid0AbCdEfGhIjKlMnOpQrStUvWxYz123456789",
    "name": "Sarah Johnson",
    "url": "https://www.facebook.com/people/Sarah-Johnson/pfbid0AbCdEfGhIjKlMnOpQrStUvWxYz123456789/",
    "profile_picture": {
      "uri": "https://scontent.fgyd4-2.fna.fbcdn.net/v/t39.30808-1/profile_pic.jpg",
      "width": 80,
      "height": 80,
      "scale": 2
    }
  },
  "reactions_count": 24,
  "share": 2,
  "photos": [],
  "tags": []
}

All data is delivered in structured JSON format suitable for sentiment analysis, reputation monitoring, review aggregation, and competitive intelligence workflows.

Key Features:

• 📈 Extract Facebook page reviews at scale
• 📊 Capture recommendation status and review engagement
• ⚡ Structured JSON output ready for analytics and automation
• 📈 Retrieve reviewer profile metadata
• 📊 Export-ready formats including JSON, CSV, and Excel
• ⚡ Scalable architecture for high-volume review extraction
• 🔒 Fully cookieless architecture with no login required

FAQs

Does this scraper require Facebook login? No. It is fully cookieless and does not require login credentials.

Can it scrape private pages? No. Only publicly accessible Facebook pages can be extracted.

Can I extract reviews from multiple pages? Yes. Run separate executions for different page IDs or integrate via API for bulk processing.

Other Facebook scrapers that you may find useful:

Facebook Page Search Scraper

Facebook Group Posts Scraper

Facebook Search Events Scraper

Facebook Page Details Scraper

Facebook Marketplace Details Scraper

Facebook Page Reviews Scraper

Facebook Page Posts Scraper

Facebook Search People Scraper