Google Play App Listings Search API
Scrape Google Play App Listings Search data with one API call. Searches DataForSEO's real-time, filterable Google Play listings database by app title (and/or description) and returns a unified AppList. Unlike the store-chart endpoints this one is the ONE true paginator — page with `limit` (≤50) + `offset` (then `offset_token` for deeper) and read the platform-wide `total`. Premium-tier because the upstream bills per returned item. Sourced from DataForSEO's synchronous live App Data database.
Try the Google Play App Listings Search API
See real data before writing a single line
Searching 38 platforms in parallel
What can you do with the App Listings Search API?
The App Listings Search 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-listings-search?title=photo+editorParameters
| Parameter | Required | Description |
|---|---|---|
| title | Yes | App title to search for (e.g. 'photo editor'). |
| description | No | Optional app-description text to match. |
| limit | No | Apps per page (1–50, default 20). |
| offset | No | Pagination offset (up to 10,000; use offset_token beyond). |
| offset_token | No | Opaque deep-pagination cursor from a prior response. |
| filters | No | Advanced DataForSEO filter expression as a JSON array. |
| 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'. |
How does the Google Play App Listings Search 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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