Facebook Reviews Scraper (Cookieless)
Pricing
from $1.50 / 1,000 results
Facebook Reviews Scraper (Cookieless)
Bulk scrape Facebook reviews into JSON/CSV instantly. Zero-config automation designed for rapid sentiment analysis and competitive benchmarking without cookies.
Pricing
from $1.50 / 1,000 results
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Mayank Chaba
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2 days ago
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"# Facebook Reviews Scraper (Cookieless)
What does Facebook Reviews Scraper (Cookieless) do?
This tool extracts review data from Facebook pages without requiring any login credentials or cookies. Built with a cookieless architecture, it allows e-commerce managers, market researchers, and business analysts to collect customer feedback at scale without authentication barriers. Simply provide a Facebook page ID, and the scraper retrieves all publicly available reviews, ratings, and reviewer information in structured formats ready for analysis.
Key Features:
- No login required: Scrape Facebook page reviews without authentication
- Bulk extraction: Collect reviews from multiple Facebook pages in one run
- Export flexibility: Download data in JSON, CSV, or Excel formats
- Complete review data: Capture ratings, review text, reviewer names, dates, and engagement metrics
- Verified purchase tracking: Identify which reviews come from verified customers
- Date filtering: Focus on reviews from specific time periods
- Helpful votes included: Track which reviews customers find most useful
Why scrape Facebook page reviews?
E-commerce managers need to scrape page reviews from multiple platforms to analyze customer sentiment, identify product improvement opportunities, and benchmark against competitors. Facebook reviews provide authentic customer feedback that reveals pain points, highlights product strengths, and uncovers market trends that aren't visible through internal analytics alone.
Primary Use Cases:
- Customer sentiment analysis: Aggregate reviews to understand overall satisfaction levels, identify recurring complaints, and track sentiment trends over time across your products and competitor offerings
- Product improvement insights: Mine review text for specific feature requests, quality issues, and usability problems that guide your product development roadmap and quality assurance priorities
- Competitive benchmarking: Compare your review ratings, response times, and customer feedback themes against competitors to identify market gaps and differentiation opportunities
How to scrape Facebook page reviews using this tool?
Step 1: Find the Facebook Page ID
Navigate to the Facebook page you want to scrape. The Page ID is typically a numeric string found in the page's ""About"" section or in the URL. For example, if the page URL is facebook.com/YourBrand, check the page transparency section for the numeric ID like 32467656765678.
Step 2: Configure the input parameters
Enter the Page ID into the scraper's input field. The tool will automatically fetch all available reviews from that page. 1 page ≈ 50 reviews depending on the page's review volume and Facebook's data availability.
Step 3: Run and download
Start the scraper and wait for it to complete. Once finished, download your data in JSON, CSV, or Excel format for immediate analysis in your preferred tools.
What are the input parameters?
| Field | Type | Description |
|---|---|---|
pageId | String | The numeric Facebook Page ID of the page you want to scrape reviews from (e.g., 32467656765678). Find this in the page's About section or transparency information. |
What data can you extract?
You can download the following data in JSON, CSV, or Excel formats:
{""review_id"": ""rv_8392741"",""page_url"": ""https://facebook.com/YourBrand"",""rating"": 4.5,""review_text"": ""Great product, excellent battery life. The sound quality could be better though."",""reviewer_name"": ""Michael S."",""review_date"": ""2025-12-15"",""helpful_votes"": 127,""verified_purchase"": true}
Extracted Fields:
review_id: Unique identifier for each reviewpage_url: URL of the Facebook page being reviewedrating: Star rating (typically 1-5 scale)review_text: Full text content of the customer reviewreviewer_name: Name of the person who left the reviewreview_date: Date when the review was postedhelpful_votes: Number of users who marked the review as helpfulverified_purchase: Boolean indicating if the reviewer is a verified customer
This page reviews scraper provides comprehensive reviews data extraction capabilities for e-commerce teams. Export reviews to CSV or JSON using this web scraper for reviews, which functions as both a product reviews API and an online review scraping solution. The reviews scraping tool serves as a complete ecommerce reviews extractor for competitive analysis and customer insights."


