How do I get Google Shopping product reviews via API?

Send a GET request to /v1/google_shopping/reviews with the product's gid from a search result (product_id and data_docid are recommended too). The response is a unified ReviewList with each review's rating, text, author, source, and date.

What makes Google Shopping reviews different?

Google Shopping pools reviews from every retailer that sells a product, so the response spans multiple stores. Each review's source field is the retailer domain that hosts it — a cross-retailer view you can't get from one store's API.

What fields does each review include?

Every review carries a rating (value and max), the review title and full text, the author name when present, the source retailer domain, any image URLs, and the publication date — all in the shared review schema used across platforms.

How much does the Google Shopping reviews endpoint cost?

Reviews cost 1 credit per call on the standard tier. New accounts get 100 free credits with no card. A product with no Google Shopping reviews returns a not-found response and is refunded automatically.

Can I control how many reviews I get back?

Yes. The optional depth parameter sets how many reviews to retrieve (in multiples of 10). Pass the gid plus product_id and data_docid from product search for the most accurate review match.

100 free credits — no credit card required

Google Shopping Reviews API

Name: Google Shopping Reviews API
Brand: SocialCrawl
Availability: InStock

Scrape Google Shopping Reviews data with one API call. Returns a unified ReviewList for a Google Shopping product, aggregated across retailers (each review's `source` is the hosting retailer domain). Each review carries the title, full text, star rating, author (when present), images, and publication date. Pass the product's gid (from product-search); product_id and data_docid are recommended for accuracy. Products with no Google Shopping reviews return 404 (auto-refunded).

Start for free View Documentation

Try the Google Shopping Reviews API

See real data before writing a single line

GET/v1/google_shopping/reviews

Searching 35 platforms in parallel

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Rumble·

Spotify·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·UUtility·

Universal Search

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Rumble·

Spotify·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·UUtility·

Universal Search

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Rumble·

Spotify·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·UUtility·

Universal Search

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Rumble·

Spotify·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·UUtility·

Universal Search

Google Shopping API

What can you do with the Reviews API?

The Reviews endpoint gives you structured Google Shopping data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

GET /v1/google_shopping/reviews?gid=8634022229889090068

Parameters

Parameter	Required	Description
gid	Yes	Google Shopping gid of the product (from product-search). Required.
product_id	No	Google Shopping product_id (recommended for accuracy).
data_docid	No	Google Shopping data_docid (recommended for accuracy).
depth	No	Number of reviews to retrieve (default 10, multiples of 10, max 8000).
country	No	DataForSEO location name. Defaults to United States.
language	No	Language code. Defaults to en.

API Details

How does the Google Shopping Reviews API work?

Send a GET request with your API key and get back clean, structured JSON. Every response follows our unified schema with computed fields.

Method

GET

Response

JSON

Why SocialCrawl

Why use SocialCrawl for Google Shopping Reviews data?

We handle the complexity of Google Shopping data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

One schema for every platform — write your integration once
Computed fields on every response: engagement rate, reach, category, language
No scraping infrastructure to build, no proxies to manage, no rate limits to fight
Real-time data from Google Shopping — no caching, no delays

Developer First

How do you scrape social media data in seconds?

The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 35 platforms covering 10B+ monthly active users.

One schema, every platform

Query 35 platforms with identical response structures. Write your integration once.

Computed fields, not just scraped

Every response includes engagement_rate, estimated_reach, content_category, and language — ready to use.

No code required

Visual Data Explorer — paste any URL, get rich result cards, sortable tables, CSV export.

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"
    }
  }
}

+ 35 platforms

FAQ

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