Universal Search Everywhere API
Scrape Universal Search Everywhere data with one API call. Fans out a single query across Reddit, X (ai-search), YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, Threads, Pinterest, LinkedIn, Rumble, Perplexity, and Tavily in parallel (up to 17 sources, since TikTok, Instagram and YouTube each add a hashtag lane). Returns ranked + clustered results, enriched with **real-people comments** from each post — Reddit upvoted comments, HackerNews thread replies, YouTube/TikTok/Instagram top-liked comments, GitHub issue discussion. The top comment per result lives at `data.items[i].source_items[0].metadata.top_comments[]` (sorted by score descending, capped at 5, max 300-char excerpts). Supports streaming via `Accept: text/event-stream` (emits `comments_enriched` chunks per candidate as enrichment lands, before the terminal `done`) and sync via `Accept: application/json`. Flat 20 credits per call regardless of enrichment.
Last updated August 2026Maintained by the SocialCrawl team
Returns one ranked, clustered result set for a query run in parallel across Reddit, X, YouTube, TikTok, Instagram and more, with top comments attached.
Use it when you want a topic's coverage everywhere at once instead of calling each platform's search endpoint yourself.
Searching 48 platforms in parallel
What can you do with the Everywhere API?
The Everywhere endpoint gives you structured Universal Search data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl -H "x-api-key: YOUR_API_KEY" \
"https://www.socialcrawl.dev/v1/search/everywhere?query=kanye+west"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/search/everywhere",
params={
'query': 'kanye west',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/search/everywhere?query=kanye+west",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| query | Yes | Search query (1–512 chars) |
| lookback_days | No | Days to look back (1–365+, default 30); mutually exclusive with from_date/to_date. |
| from_date | No | ISO YYYY-MM-DD lower bound; mutually exclusive with lookback_days. |
| to_date | No | ISO YYYY-MM-DD upper bound; defaults to today when from_date is set alone. |
| sources | No | Optional CSV allowlist of sources (mutually exclusive with exclude). Valid names: reddit, twitter-ai-search, youtube, tiktok, instagram, hackernews, polymarket, github, threads, pinterest, perplexity, tavily, linkedin, rumble, tiktok-hashtag, instagram-hashtag, youtube-hashtag. Platform shorthands expand to their full group: twitter/x → twitter-ai-search; youtube, instagram, tiktok also include their -hashtag lane. Unknown names return a 400. |
| exclude | No | Optional CSV blocklist of sources (mutually exclusive with sources). Same valid names and platform shorthands as sources — excluding youtube/instagram/tiktok also excludes the platform's -hashtag lane. Unknown names return a 400. |
What does the Universal Search Everywhere API return?
Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.
Example response
{
"success": true,
"platform": "instagram",
"endpoint": "/v1/instagram/engagement",
"data": {
"engagement_rate_percentages": 38.33,
"recent_posts": 12,
"followers": 87608035,
"comments": 528912,
"likes": 33049046,
"recent_posts_explanation": "Statistics based on the last 12 posts",
"id_user": "2278169415",
"username": "mrbeast",
"is_private": false,
"posts_details": [
{
"likes": 5636982,
"comments": 69484,
"taken_at": 1781457954,
"datetime": "2026-06-14 20:25:54",
"hours_since_post": 461,
"time_ago": "19 days ago",
"likes_per_hour": 12228,
"comments_per_hour": 151
},
{
"likes": 20000768,
"comments": 223510,
"taken_at": 1732824650,
"datetime": "2024-11-28 23:10:50",
"hours_since_post": 13971,
"time_ago": "2 years ago",
"likes_per_hour": 1432,
"comments_per_hour": 16
},
{
"likes": 929226,
"comments": 30633,
"taken_at": 1782232475,
"datetime": "2026-06-23 19:34:35",
"hours_since_post": 246,
"time_ago": "10 days ago",
"likes_per_hour": 3777,
"comments_per_hour": 125
},
{
"likes": 487761,
"comments": 22482,
"taken_at": 1781799425,
"datetime": "2026-06-18 19:17:05",
"hours_since_post": 366,
"time_ago": "15 days ago",
"likes_per_hour": 1333,
"comments_per_hour": 61
},
{
"likes": 712265,
"comments": 15716,
"taken_at": 1781366405,
"datetime": "2026-06-13 19:00:05",
"hours_since_post": 487,
"time_ago": "20 days ago",
"likes_per_hour": 1463,
"comments_per_hour": 32
},
{
"likes": 1475116,
"comments": 35386,
"taken_at": 1781277094,
"datetime": "2026-06-12 18:11:34",
"hours_since_post": 512,
"time_ago": "21 days ago",
"likes_per_hour": 2881,
"comments_per_hour": 69
},
{
"likes": 1108220,
"comments": 26632,
"taken_at": 1780160249,
"datetime": "2026-05-30 19:57:29",
"hours_since_post": 822,
"time_ago": "1 months ago",
"likes_per_hour": 1348,
"comments_per_hour": 32
},
{
"likes": 542948,
"comments": 28476,
"taken_at": 1779375582,
"datetime": "2026-05-21 17:59:42",
"hours_since_post": 1040,
"time_ago": "1 months ago",
"likes_per_hour": 522,
"comments_per_hour": 27
},
{
"likes": 698514,
"comments": 24401,
"taken_at": 1779120014,
"datetime": "2026-05-18 19:00:14",
"hours_since_post": 1111,
"time_ago": "2 months ago",
"likes_per_hour": 629,
"comments_per_hour": 22
},
{
"likes": 468000,
"comments": 13548,
"taken_at": 1778947209,
"datetime": "2026-05-16 19:00:09",
"hours_since_post": 1159,
"time_ago": "2 months ago",
"likes_per_hour": 404,
"comments_per_hour": 12
},
{
"likes": 526594,
"comments": 24411,
"taken_at": 1777737719,
"datetime": "2026-05-02 19:01:59",
"hours_since_post": 1495,
"time_ago": "2 months ago",
"likes_per_hour": 352,
"comments_per_hour": 16
},
{
"likes": 462652,
"comments": 14233,
"taken_at": 1777580305,
"datetime": "2026-04-30 23:18:25",
"hours_since_post": 1538,
"time_ago": "2 months ago",
"likes_per_hour": 301,
"comments_per_hour": 9
}
]
},
"credits_used": 5,
"credits_remaining": 9999,
"request_id": "req-8Kq2ZmR4vT9xLb3P",
"cached": false
}Example captured from the Instagram API. Every SocialCrawl endpoint returns this same unified schema, so your Universal Search Everywhere response has the same fields.
How does the Universal Search Everywhere API work?
Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.
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 48 platforms covering 10B+ monthly active users.
One schema, every platform
Query 48 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
When an endpoint supports these metrics and the source provides the required inputs, the normalized record 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
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usHow do I use the social media search API?
What parameters does /v1/search/everywhere accept?
What does each search result include?
Can I restrict the search to specific platforms?
How much does one search everywhere call cost?
Does the endpoint support streaming responses?
Ask AI about SocialCrawl
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