Content Analysis Rating Distribution API
Scrape Content Analysis Rating Distribution data with one API call. Returns a 10-bucket histogram (0.0–0.1 … 0.9–1.0) of the relative ratings found across web mentions of the keyword. Each bucket carries a full summary sub-object (total_count, top_domains, sentiment, categories, page types, countries, languages) so you can see how sentiment and sources vary with rating. Best for products and review-heavy terms.
Try the Content Analysis Rating Distribution API
See real data before writing a single line
Searching 35 platforms in parallel
What can you do with the Rating Distribution API?
The Rating Distribution endpoint gives you structured Content Analysis data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
GET /v1/content_analysis/rating-distribution?keyword=iphoneParameters
| Parameter | Required | Description |
|---|---|---|
| keyword | Yes | Product or term to build the rating histogram for. |
| page_type | No | Narrow to one or more page types (comma-separated): ecommerce, news, blogs, message-boards, organization. (ecommerce | news | blogs | message-boards | organization) |
| filters | No | Advanced DataForSEO filter expression as a JSON array (≤8 conditions). |
How does the Content Analysis Rating Distribution 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 35 platforms covering 10B+ monthly active users.
One schema, every platform
Query 35 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": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Have a question? We got answers
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