Search Data API
Scrape GitHub Search data with one API call. Searches issues and PRs across all of GitHub via the `/search/issues` endpoint. Supports GitHub's full search syntax — qualifiers like `repo:owner/name`, `is:issue`, `is:pr`, `is:open`, `label:bug`, `created:>2026-01-01`, `author:username`, `comments:>10`. Sort by `reactions`, `comments`, `created`, or `updated`. Results land under `data.items[]` with `total_count` and `incomplete_results` siblings. Rate-limited to 30 req/min per token.
Try the GitHub Search API
See real data before writing a single line
Searching 27 platforms in parallel
What can you do with the Search API?
The Search endpoint gives you structured GitHub data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
GET /v1/github/search?query=repo%3Avercel%2Fnext.js+is%3Aissue+is%3AopenParameters
| Parameter | Required | Description |
|---|---|---|
| query | Yes | GitHub search query (uses GitHub's qualifier syntax — see https://docs.github.com/en/search-github/searching-on-github/searching-issues-and-pull-requests). |
| sort | No | Sort field — `reactions`, `comments`, `created`, `updated`. Defaults to best-match relevance. (reactions | comments | created | updated) |
| order | No | `asc` or `desc`. Defaults to `desc`. (asc | desc) |
| per_page | No | Results per page (1–100). Defaults to 30. |
| page | No | 1-indexed page number. |
How does the GitHub 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 27 platforms covering 10B+ monthly active users.
One schema, every platform
Query 27 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": 124000 },
"engagement": { "likes": 5200, "engagement_rate": 0.045 },
"metadata": { "language": "en", "content_category": "food" }
}
}Ready to scrape GitHub Search data?
Get your API key and start pulling GitHub data in under 60 seconds.
