Utility Task Recipes API
Scrape Utility Task Recipes data with one API call. The catalog of task recipes: common jobs (export a video's comments, vet a creator, compare a product's reviews across retailers, watch a competitor's uploads, crawl a site to markdown, and more) as the cheapest chain of calls, with the inputs each needs, which step's rows feed the next (bind), which steps page or run once per row (repeat), any setup call (a monitor, a cohort), pitfalls, cheaper and deeper alternatives, and cost: the whole job's credits for the stated size, computed from current prices, with exact false when a page count had to be guessed. A recipe monitor also shows per_run, one scheduled run. Pass id for one recipe; a utility/plan job id (creator_profile) returns the recipe that documents it. Free to call.
Last updated October 2026Maintained by the SocialCrawl team
Returns the task recipes: each job's chain of calls with its inputs, binds, paging and setup, pitfalls, alternatives, and the whole job's credit cost for its stated size.
Use it to copy a proven multi-step job and see what it costs before you build it. It runs nothing. Free to call.
Searching 68 platforms in parallel
What can you do with the Task Recipes API?
The Task Recipes endpoint gives you structured Utility 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/utility/recipes?id=export-tiktok-comments"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/utility/recipes",
params={
'id': 'export-tiktok-comments',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/utility/recipes?id=export-tiktok-comments",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| id | No | One recipe id (export-tiktok-comments). Omit for the whole catalog |
What does the Utility Task Recipes API return?
This synthetic fixture shows the documented response shape and fields. Values are illustrative; this is not a live API response.
Example response
{
"success": true,
"platform": "utility",
"endpoint": "/v1/utility/recipes",
"data": {
"kind": "recipe_catalog",
"version": 1,
"count": 1,
"recipes": [
{
"id": "export-tiktok-comments",
"title": "Export the latest N comments on a TikTok video",
"when": [
"get/export/download comments on this TikTok"
],
"inputs": [
{
"name": "url",
"description": "The TikTok video URL",
"example": "https://www.tiktok.com/@stoolpresidente/video/7623818255903329566"
}
],
"steps": [
{
"id": "comments",
"endpoint": "tiktok/post/comments",
"method": "GET",
"params": {
"url": "{url}",
"sort": "recent",
"scan_pages": "3"
},
"repeat": "until_n_items"
}
],
"size": {
"description": "two hundred comments",
"items": 200
},
"cost": {
"calls": 5,
"hold": 15,
"expected_min": 5,
"expected_max": 15,
"exact": false,
"floor": true,
"for_items": 200
},
"pitfalls": [
"The endpoint is tiktok/post/comments; tiktok/video/comments does not exist."
]
}
],
"notes": [
"cost is the whole job for size.items rows (paging and per-row fan-out included), from the same pricing the API bills with. hold is what is held up front across every call; unused hold is refunded."
]
},
"credits_used": 0,
"request_id": "req_example000000",
"cached": false
}Synthetic fixture for the documented response shape. Values are illustrative, not a production capture.
How does the Utility Task Recipes 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 68 platforms covering 10B+ monthly active users.
One schema, every platform
Query 68 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"
}
}
}Ready to scrape Utility Task Recipes data?
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