Pricing

$19.99/month + usage

Facebook Reviews Scraper

⭐ Facebook Reviews Scraper pulls public reviews, ratings, timestamps & reviewer names from Facebook Pages at scale. 📊 Export to CSV/JSON/API. 🔁 Schedule, paginate & dedupe. Perfect for local SEO, reputation monitoring & competitor analysis. ⚡ Fast, reliable.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

Scrapium

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Configure MCP server with Facebook Reviews Scraper

Get a ready-to-use configuration for your MCP client with the Facebook Reviews Scraper Actor preconfigured at mcp.apify.com?tools=scrapium/facebook-reviews-scraper .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Facebook Reviews Scraper

scrapebase/facebook-reviews-scraper

⭐ Facebook Reviews Scraper extracts ratings, comments, timestamps & reviewer names from Facebook Pages. 🔎 Export to CSV/JSON, analyze sentiment, monitor competitors, and boost local SEO. 🚀 Ideal for reputation management, market research & analytics.

ScrapeBase

Facebook Reviews Scraper

scraperforge/facebook-reviews-scraper

⭐ Facebook Reviews Scraper pulls public Page reviews at scale — ratings, review text, reviewer, date & URL — with deduping, pagination & locale support. 📊 Export to CSV/JSON or API for reputation management, social listening, competitor analysis & local SEO. 🚀

ScraperForge

Facebook Reviews Scraper

scrapapi/facebook-reviews-scraper

ScrapAPI

Facebook Reviews Scraper

simpleapi/facebook-reviews-scraper

Facebook Reviews Scraper extracts reviews from Facebook Pages, capturing reviewer names, ratings, comments, timestamps, and helpfulness details. Ideal for sentiment analysis, brand monitoring, customer research, and automating structured Facebook review data collection at scale.

SimpleAPI

Facebook Reviews Scraper

scrapemesh/facebook-reviews-scraper

⭐ Facebook Reviews Scraper extracts ratings, review text, timestamps, reviewers, and page replies from Facebook Pages. 💬 Export CSV/JSON/API for sentiment analysis, brand monitoring & local SEO. ⚡ Fast, scalable with pagination & filters. 🚀 Perfect for marketers & agencies.

ScrapeMesh

Facebook Reviews Scraper

scrapeengine/facebook-reviews-scraper

⭐ Facebook Reviews Scraper extracts Facebook Page reviews at scale — ratings, comments, dates, reviewer names, reactions & owner replies. 🔎 Export CSV/JSON, schedule runs, and analyze sentiment. 🚀 Ideal for reputation management, CX insights & social proof.

ScrapeEngine

Facebook Reviews Scraper

scrapers-hub/facebook-reviews-scraper

Facebook reviews scraper to extract reviews, ratings, and customer feedback from Facebook pages ⭐📊 Perfect for market research, sentiment analysis, and brand monitoring. Fast, accurate, and scalable data extraction.

Scrapers Hub

Facebook Reviews Scraper

scrapier/facebook-reviews-scraper

Scrape Facebook page reviews with the Facebook Reviews Scraper. Extract reviewer names, ratings, comments, timestamps, and helpfulness reactions. Ideal for sentiment analysis, market research, and brand monitoring. Fast, accurate, and scalable for single or multiple pages.

Scrapier

Facebook Pages Scraper

scraperforge/facebook-pages-scraper

📘 Facebook Pages Scraper (facebook-pages-scraper) pulls public page data at scale—about, bio, website, phone, address, hours, posts, ratings/reviews, likes & engagement. 🔎 Fast, reliable, CSV/JSON export. 🚀 Ideal for market research, competitor tracking & lead gen.

ScraperForge

Facebook Reviews Scraper

api-empire/facebook-reviews-scraper

Facebook Reviews Scraper extracts reviews from any public Facebook page. Capture reviewer names, ratings, comments, timestamps, and sentiment details. Ideal for brand monitoring, customer analysis, market research, and workflows that need clean structured review data.