Content Analysis Summary API
Scrape Content Analysis Summary data with one API call. Returns a single roll-up over every web citation of the keyword: total mention count, top domains, sentiment-connotation totals, positive/negative/neutral splits, top text + page categories, and breakdowns by page type, country, and language. The fastest way to size and characterize a brand's web-wide footprint in one call.
Try the Content Analysis Summary API
See real data before writing a single line
Searching 35 platforms in parallel
What can you do with the Summary API?
The Summary 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/summary?keyword=openaiParameters
| Parameter | Required | Description |
|---|---|---|
| keyword | Yes | Brand or term to summarize. |
| page_type | No | Narrow to one or more page types (comma-separated): ecommerce, news, blogs, message-boards, organization. (ecommerce | news | blogs | message-boards | organization) |
| positive_connotation_threshold | No | Minimum positive-connotation probability (0–1, default 0.4) for a mention to count as positive. |
| sentiments_connotation_threshold | No | Minimum sentiment-connotation probability (0–1, default 0.4) for the 6-axis emotion buckets. |
| internal_list_limit | No | Cap on internal arrays such as top_domains / categories (1–20). |
| filters | No | Advanced DataForSEO filter expression as a JSON array (≤8 conditions). |
How does the Content Analysis Summary 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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