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User Profile Velocity Data API

Scrape GitHub User Profile Velocity data with one API call. Composite endpoint — combines a `/search/issues` PR-velocity query (total + merged), the user's own repo list, and parallel per-repo enrichment (stars + releases for external repos; README + releases + top-issues for own repos) into a structured contribution dossier `{ velocity, contributed_repos[], own_repos[] }`. The `depth` param controls fan-out width: `quick` enriches up to 5 external + 3 own repos, `default` 10 + 5, `deep` 15 + 5. 10 credits per call.

Try the GitHub User Profile Velocity API

See real data before writing a single line

GET/v1/github/user/profile-velocity

GitHub username.

1 optional parameters

`quick`, `default`, or `deep`. Defaults to `default`. Trades off upstream calls vs. dossier richness.

Searching 27 platforms in parallel

·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·TikTok Shop·Amazon Shop·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Polymarket·Tavily·Hacker News·GitHub·Perplexity·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·TikTok Shop·Amazon Shop·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Polymarket·Tavily·Hacker News·GitHub·Perplexity·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·TikTok Shop·Amazon Shop·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Polymarket·Tavily·Hacker News·GitHub·Perplexity·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·TikTok Shop·Amazon Shop·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Polymarket·Tavily·Hacker News·GitHub·Perplexity·UUtility·Universal Search
GitHub API

What can you do with the User Profile Velocity API?

The User Profile Velocity 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/user/profile-velocity?handle=octocat

Parameters

ParameterRequiredDescription
handleYesGitHub username.
depthNo`quick`, `default`, or `deep`. Defaults to `default`. Trades off upstream calls vs. dossier richness. (quick | default | deep)
API Details

How does the GitHub User Profile Velocity 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 GitHub User Profile Velocity data?

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

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 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()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": { "username": "charlidamelio", "followers": 124000 },
    "engagement": { "likes": 5200, "engagement_rate": 0.045 },
    "metadata": { "language": "en", "content_category": "food" }
  }
}
and many more

Ready to scrape GitHub User Profile Velocity data?

Get your API key and start pulling GitHub data in under 60 seconds.

Start for free