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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

GET/v1/content_analysis/summary

Brand or term to summarize.

5 optional parameters

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

Minimum positive-connotation probability (0–1, default 0.4) for a mention to count as positive.

Minimum sentiment-connotation probability (0–1, default 0.4) for the 6-axis emotion buckets.

Cap on internal arrays such as top_domains / categories (1–20).

Advanced DataForSEO filter expression as a JSON array (≤8 conditions).

Searching 35 platforms in parallel

·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
Content Analysis API

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=openai

Parameters

ParameterRequiredDescription
keywordYesBrand or term to summarize.
page_typeNoNarrow to one or more page types (comma-separated): ecommerce, news, blogs, message-boards, organization. (ecommerce | news | blogs | message-boards | organization)
positive_connotation_thresholdNoMinimum positive-connotation probability (0–1, default 0.4) for a mention to count as positive.
sentiments_connotation_thresholdNoMinimum sentiment-connotation probability (0–1, default 0.4) for the 6-axis emotion buckets.
internal_list_limitNoCap on internal arrays such as top_domains / categories (1–20).
filtersNoAdvanced DataForSEO filter expression as a JSON array (≤8 conditions).
API Details

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

Why SocialCrawl

Why use SocialCrawl for Content Analysis Summary data?

We handle the complexity of Content Analysis data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

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 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()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
+ 35 platforms
FAQ

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