Facebook Reviews Scraper — Ratings, Sentiment & Contacts, No Login

Scrape public Facebook page reviews and recommendations without login or cookies. Give it a page URL — or a business keyword — and get the average rating, recommend %, individual reviews (reviewer, text, date, photos, likes), plus AI sentiment analysis, the page's contact email/phone, website, address and GPS coordinates. Export to JSON, CSV or Excel.

Built for reliability and predictable cost: hard spend caps, charge-only-on-delivery, datacenter-first proxy with residential fallback, retries — no runaway bills.

---

✅ What this Facebook review scraper does

• ⭐ Rating summary per page — average stars, rating count, recommend %, category
• 💬 Individual reviews — reviewer, recommends/rating, text, date, likes, comments, photos
• 🤖 AI sentiment — positive / negative / neutral + score per review and a run-level breakdown (token-free, no API key)
• 📇 Page contacts — email, phone, website, address + GPS latitude/longitude (turn reviews into leads)
• 🔁 Incremental "only new reviews" — perfect for monitoring; each run returns just the new ones
• 🧹 Dedup, date filter, keyword filter, per-page & global caps
• 🔎 Keyword search — discover public pages by business/brand name

No login, no cookies, no API key. Only public content.

📦 Output

Per page (summary): pageName, pageUrl, pageId, category, avgRating, ratingCount, recommendPercent, recommendCount, emails, phones, websites, address, latitude, longitude.

Per review: reviewId, reviewerName, recommends, rating, text, reviewDate, likeCount, commentCount, photos, sentiment, sentimentScore.

Plus a run-level _summary with the sentiment breakdown and positive %.

⚙️ Input

Field	What it does
startUrls	Facebook page URLs (vanity, profile.php or bare ID)
searchQueries	Business/brand keywords to discover pages
maxReviewsPerPage, maxResults, maxCostUsd	Caps — the run stops at your limit
sinceDays, keywordFilter	Recency / text filters
onlyNewSinceLastRun	Incremental — only reviews not seen before
analyzeSentiment	AI sentiment per review (default on)
enrichPageContacts	Email / phone / website / address / GPS
proxyCountry, maxConcurrency, timeout, maxRetries	Geo + throughput + reliability
notifyWebhookUrl	POST each review to Zapier / Make / n8n in real time

Example input

{
  "startUrls": ["https://www.facebook.com/cocacola"],
  "searchQueries": ["pizza new york"],
  "maxReviewsPerPage": 100,
  "analyzeSentiment": true,
  "enrichPageContacts": true,
  "proxyCountry": "US"
}

🆚 Why choose this scraper

Feature	This scraper	Typical competitor
Rating + reviews + engagement	✅	✅
AI sentiment analysis	✅	rare
Contact email / phone (lead data)	✅	rare
GPS coordinates	✅	rare
Incremental only-new	✅	rare
Dedup by review id	✅	rare
Category / taxonomy, retries, stealth, no-login	✅	rare
Hard spend cap (no runaway bills)	✅	rare

💡 Use cases

• Reputation monitoring — track new reviews and sentiment over time (incremental mode)
• Lead generation — pull business contact + location from reviewed pages
• Competitor analysis — compare ratings, recommend %, sentiment across pages
• Local SEO & market research — ratings + GPS for map-based datasets
• Feed n8n / Make / Zapier and AI agents

💸 Pricing

Pay per result: a small page fee per page summary delivered, plus review per review saved. You're billed only for delivered data — duplicates, filtered and failed items are free. Use maxResults / maxCostUsd to cap spend.

❓ FAQ

Do I need to log in? No — only public reviews/recommendations are read.

Will I get every review? Logged-out Facebook exposes the rating summary plus a window of recent public recommendations. The summary (rating, recommend %, contacts, GPS) is always returned.

How does incremental mode work? With onlyNewSinceLastRun, the Actor remembers review IDs it already returned and skips them next run — only brand-new reviews come through.

How do I avoid surprise costs? Use maxResults and maxCostUsd; the run stops at your cap and only bills delivered results.

---

Not affiliated with or endorsed by Facebook/Meta. Scrape only public data and use responsibly, in line with applicable laws and platform terms.