Google Play App Reviews API
Scrape Google Play App Reviews data with one API call. Returns a unified ReviewList of Google Play user reviews for an app, keyed by its package name (`app_id` on every review's `entity_id`). Each review carries the star rating, full text, reviewer name + avatar, helpful-vote count, developer `responses[]` (reply text + date), and publish date — on the SAME canonical `Review` shape used by Amazon, Google Shopping, and Trustpilot. Google reviews have no title (always null). `depth` returns reviews in batches of 150 (max 600). Sourced from DataForSEO's task-based App Data API.
Try the Google Play App Reviews API
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Searching 38 platforms in parallel
What can you do with the App Reviews API?
The App Reviews endpoint gives you structured Google Play data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
GET /v1/google_play/app-reviews?app_id=com.spotify.musicParameters
| Parameter | Required | Description |
|---|---|---|
| app_id | Yes | Google Play package name (e.g. 'com.spotify.music'), from app-search. |
| country | No | Storefront country as a DFS location name or numeric code. Defaults to the US. |
| language | No | Language code (e.g. 'en'). Defaults to 'en'. |
| depth | No | Number of reviews to retrieve (default 150, batches of 150, max 600). |
| sort_by | No | Review ordering: `newest` (default) or `most_relevant`. (newest | most_relevant) |
| rating | No | Filter to a single star rating (1–5). |
How does the Google Play App 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
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 38 platforms covering 10B+ monthly active users.
One schema, every platform
Query 38 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(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Have a question? We got answers
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