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Analyze

Know if those Amazon reviews are real

Free Amazon fake review checker. Paste a product link, ASIN, or name and we grade review authenticity from verified-purchase ratio, rating skew, posting bursts, and copy-pasted text. An estimate, not an accusation.

Check Amazon reviews

Paste a product. Get a trust grade in seconds.

Paste any Amazon product URL, a 10-character ASIN, or a product name

Free, no login required

Live from the SocialCrawl API

Real reviews, scored four ways

Paste any product and we grade how organic its recent reviews look, then show you the reviews behind the grade.

  • 01Verified purchases · how many come from confirmed buyers
  • 02Five-star share · whether the stars look naturally spread
  • 03Posting bursts · whether reviews arrived in a suspicious burst
  • 04Repeated wording · whether the wording looks copy-pasted

Searching 42 platforms in parallel

·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Google Finance logoGoogle Finance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·UUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Google Finance logoGoogle Finance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·UUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Google Finance logoGoogle Finance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·UUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Google Finance logoGoogle Finance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·UUtility·Universal Search logoUniversal Search
How it works

Three steps, zero learning curve

Paste a URL, hit run, get structured data. That's the whole workflow.

  1. 01

    How does it spot fake reviews?

    We read the most recent reviews Amazon returns and grade four signals: the verified-purchase ratio, how skewed the stars are, whether reviews arrived in a single burst, and whether the wording looks copy-pasted.

  2. 02

    What do you actually show me?

    A trust grade from A to F, a 0 to 100 score, a breakdown of each signal, the full rating spread, and a sample of the real reviews so you can judge for yourself.

  3. 03

    Is this proof a review is fake?

    No. It's an authenticity estimate from a small recent sample. A low grade means the reviews are worth a closer read, not that anyone faked them.

Developer API

Use it in your code in seconds

Same engine, exposed as a clean REST API. One key works for every platform — and every response uses the same schema.

One key, every platform

Authenticate once. Hit TikTok, Instagram, YouTube, Reddit, and 17 more — all from the same key.

Same shape, every response

Identical schema across platforms. Write your integration once and never adapt to a new payload.

Drop into any agent

Cleanly typed JSON, ready for LLM tool-calls, RAG pipelines, and automation flows.

import requests

response = requests.get(
    'https://www.socialcrawl.dev/v1/tiktok/profile',
    params={'handle': 'charlidamelio'},
    headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
and many more
Try a search

What is the world really saying?

Type a question. Twelve walled gardens search at the same time. AI gives you the brief — the source posts stay one click away.

For builders → MCP, skills, and the API
Use cases

Real ways teams use this tool

A few patterns we see from marketers, researchers, and builders shipping with SocialCrawl.

Shoppers

Can I trust this product's rating?

Before you click buy, see whether that 4.7-star average is built on verified buyers or a wall of identical five-star reviews.

0

signals checked

per product

0A-F

trust grade

at a glance

Sellers & analysts

How clean is a competitor's review profile?

Check any listing for seeded reviews and posting bursts, then prove the pattern with the verified-purchase ratio.

0

guesswork

evidence only

0

point trust scale

0 to 100

Verified ratio

Count the real buyers

See what share of reviews carry Amazon's Verified Purchase badge, the strongest signal a review is genuine.

Rating skew

Spot five-star floods

A natural product has a spread of ratings. A wall of five stars with no critical reviews is a tell.

Repeated text

Catch copy-paste reviews

Templated, near-identical reviews collapse together so seeded wording stops hiding in plain sight.

Frequently asked questions

Can't find what you're looking for? Talk to our team or ask the AI agent below

Look at four things: how many reviews are verified purchases, whether the stars are naturally spread or flooded with five stars, whether a batch of reviews all landed on one day, and whether the wording repeats. This tool grades all four from a product's recent reviews and gives you a single trust grade.

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