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100 free credits — no credit card required

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.

Live demo

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

GET/v1/content_analysis/search

Brand or term to find mentions of. Wrap in escaped double-quotes for an exact phrase (e.g. "logitech mouse").

6 optional parameters

Narrow to one or more page types (comma-separated): ecommerce, news, blogs, message-boards, organization. Translated to a page_types filter upstream.

as_is (default) returns every matching page; one_per_domain dedupes to the top page per domain.

Number of citations to return per page (1–100, default 10). Paginate via `cursor` for more.

Opaque pagination cursor — pass the `next_cursor` from the previous response to fetch the next page.

Sort rules as "field,direction"; separate multiple rules with ";" (e.g. content_info.sentiment_connotations.anger,desc).

Advanced DataForSEO filter expression as a JSON array (≤8 conditions). Combined with page_type via AND when both are present.

Endpoints

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

Developer First

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()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
+ 44 platforms
One API, 44 platforms

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.

One schema, every platform

Write once, query them all.

44 platforms return 44 different JSON shapes. We normalize every response into one consistent structure.

Ready-to-use metrics

Metrics ready before you ask.

Engagement rate, estimated reach, content category, language — calculated on every response automatically.

Consistent pagination

One cursor, every platform.

Every platform paginates differently. We give you one consistent cursor-based system.

Always fresh

Live data, never cached.

Every request hits the actual platform. No stale data, no cache lag.

Things you'll never build

Auth, proxies, and rate limits — handled.

Platform authentication, IP rotation, rate limit management — abstracted away. Just send a GET request.

Start for free
Comparison

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.

Setup

SocialCrawl
One GET per question — mentions, sentiment, and trends are each a single call
Build-your-own NLP pipeline
Crawler, mention index, and NLP models to build, train, and host

Coverage

SocialCrawl
Web-wide citation database — news, blogs, ecommerce, message boards
Build-your-own NLP pipeline
Limited to whatever your crawler reaches and you can afford to store

Sentiment scoring

SocialCrawl
6-axis emotion model plus positive/negative/neutral probabilities, passed through verbatim
Build-your-own NLP pipeline
Model selection, training data, and accuracy tuning are all on you

Pricing

SocialCrawl
5 credits per analytic call, 1 credit per reference lookup; 100 free credits to start
Build-your-own NLP pipeline
Compute, storage, and data engineering time before the first result

Maintenance

SocialCrawl
Endpoints stay stable behind the unified schema
Build-your-own NLP pipeline
Crawlers and models drift — retraining and fixes never stop
Quick answers

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 pricing

Is 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.

FAQ

Have a question? We got answers

Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.

Contact us

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Ready to start scraping Content Analysis data?

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