GitHub Issue Comments API
Scrape GitHub Issue Comments data with one API call. Returns comments under `data.items[]` — each entry includes `id`, `user.login`, `body`, `reactions.total_count`, and `created_at`. Pass either an `/issues/N` or `/pull/N` URL; both resolve to the same comment thread on GitHub's API.
Last updated June 2026
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Searching 42 platforms in parallel
TikTok·
Instagram·
YouTube·
Facebook·
X·
LinkedIn·
Reddit·
Threads·
Pinterest·
Twitch·
Truth Social·
Snapchat·
Kick·
Bluesky·
Kwai·
Rumble·
Spotify·TikTok Shop·
Amazon Shop·
Google Shopping·
Trustpilot·
TripAdvisor·
Linktree·
Komi·
Pillar·
lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·
Polymarket·
Tavily·
Hacker News·
GitHub·
Perplexity·
Naver·UUtility·
Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal SearchWhat can you do with the Issue Comments API?
The Issue Comments endpoint gives you structured GitHub data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl "https://www.socialcrawl.dev/v1/github/issue/comments?url=https%3A%2F%2Fgithub.com%2Ffacebook%2Freact%2Fissues%2F27522" \
-H "x-api-key: YOUR_API_KEY"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/github/issue/comments",
headers={"x-api-key": "YOUR_API_KEY"},
params={"url": "https://github.com/facebook/react/issues/27522"},
)
data = response.json()const params = new URLSearchParams({
"url": "https://github.com/facebook/react/issues/27522",
});
const response = await fetch(`https://www.socialcrawl.dev/v1/github/issue/comments?${params}`, {
headers: { "x-api-key": "YOUR_API_KEY" },
});
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| url | Yes | GitHub HTML URL of the issue or PR. |
| sort | No | `created` or `updated`. Defaults to `created`. (created | updated) |
| direction | No | `asc` or `desc`. Defaults to `asc`. (asc | desc) |
| since | No | Only comments updated at or after this ISO 8601 timestamp. |
| per_page | No | Comments per page (1–100). Defaults to 30. |
| page | No | 1-indexed page number. |
How does the GitHub Issue Comments 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 42 platforms covering 10B+ monthly active users.
One schema, every platform
Query 42 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.
See your data before you code
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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