Content Analysis Scraper API
The Content Analysis API is 10 endpoints for web-wide brand intelligence: a paginated mention search, summary and sentiment rollups, rating distribution, phrase and category trends, plus four reference lookups. Analytic calls cost 5 credits and lookups 1 credit, all behind the same x-api-key and unified JSON envelope as SocialCrawl's other 43 platforms.
TL;DR
The Content Analysis API by SocialCrawl returns Content Analysis data as structured JSON — 10 endpoints behind one x-api-key, from 1 credit per call. It shares one unified schema with 43 other platforms, so the same client code works everywhere.
Where to find SocialCrawl
Try the Content Analysis API in your browser
Type a real handle, run a real request, see the JSON SocialCrawl returns. No signup, no key — same response shape you get in production.
Try the Content Analysis Search API
See real data before writing a single line
What data does the Content Analysis API return?
Every endpoint returns structured JSON with a unified schema. Computed fields like engagement rate and content category come standard.
Last updated July 2026
Search web citations of a keyword with per-mention sentiment
Aggregate mention summary for a keyword
Sentiment breakdown for a keyword
Rating histogram for a keyword
Keyword mention volume + sentiment over time
Category mention volume + sentiment over time
List supported Content Analysis languages
List supported Content Analysis locations
List the Content Analysis category taxonomy
List the filterable fields for Content Analysis
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 44 platforms covering 10B+ monthly active users.
One schema, every platform
Query 44 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"
}
}
}How does SocialCrawl handle 44 different platforms?
Social media scraping is hard. Schema normalization, authentication, rate limits, pagination — we handle it all before your data arrives.
Write once, query them all.
44 platforms return 44 different JSON shapes. We normalize every response into one consistent structure.
Metrics ready before you ask.
Engagement rate, estimated reach, content category, language — calculated on every response automatically.
One cursor, every platform.
Every platform paginates differently. We give you one consistent cursor-based system.
Live data, never cached.
Every request hits the actual platform. No stale data, no cache lag.
Auth, proxies, and rate limits — handled.
Platform authentication, IP rotation, rate limit management — abstracted away. Just send a GET request.
How does SocialCrawl compare to Build-your-own NLP pipeline for Content Analysis data?
Same Content Analysis data, two very different paths. Auth, rate limits, schema, and cost — side by side.
| Feature | SocialCrawl | Build-your-own NLP pipeline |
|---|---|---|
| Setup | One GET per question — mentions, sentiment, and trends are each a single call | Crawler, mention index, and NLP models to build, train, and host |
| Coverage | Web-wide citation database — news, blogs, ecommerce, message boards | Limited to whatever your crawler reaches and you can afford to store |
| Sentiment scoring | 6-axis emotion model plus positive/negative/neutral probabilities, passed through verbatim | Model selection, training data, and accuracy tuning are all on you |
| Pricing | 5 credits per analytic call, 1 credit per reference lookup; 100 free credits to start | Compute, storage, and data engineering time before the first result |
| Maintenance | Endpoints stay stable behind the unified schema | Crawlers and models drift — retraining and fixes never stop |
Setup
Coverage
Sentiment scoring
Pricing
Maintenance
How much does Content Analysis scraping cost?
SocialCrawl uses credit-based pricing: you pay per API call, and most Content Analysis endpoints cost just a few credits. Every account starts with 100 free credits — no subscriptions, no compute units, no credit card required.
See pricingIs Content Analysis scraping legal?
SocialCrawl returns publicly available Content Analysis data. Courts have generally upheld scraping public data — most notably in hiQ v. LinkedIn — but compliance depends on your use case and jurisdiction. You are responsible for following applicable laws and platform terms.
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Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
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