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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.

Last updated October 2026Maintained by the SocialCrawl team

Returns one roll-up of every web mention of a keyword: total count, top domains, sentiment splits, and breakdowns by page type, country, and language.

Use it to size and characterize a brand's web presence in one call, before pulling individual mentions with search.

Searching 69 platforms in parallel

·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal 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: 20 credits per call. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
# --max-time 60: the API's own time limit for this endpoint.
# --retry 3: retries timeouts, 429 and 5xx, honoring Retry-After.
# -o response.json keeps only the final attempt's body.
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
IDEMPOTENCY_KEY=$(od -An -N16 -tx1 /dev/urandom | tr -d ' \n')
curl -sS --max-time 60 --retry 3 -o response.json \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Idempotency-Key: $IDEMPOTENCY_KEY" \
  "https://www.socialcrawl.dev/v1/content_analysis/summary?keyword=openai" && cat response.json
# GET /v1/content_analysis/summary: 20 credits per call. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
import os
import random
import time
import uuid

import requests

API_KEY = os.environ.get("SOCIALCRAWL_API_KEY", "YOUR_API_KEY")
TIMEOUT_S = 60  # the API's own time limit for this endpoint.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/content_analysis/summary"


def backoff(attempt):
    # Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
    return 2 ** attempt * (0.5 + random.random() / 2)


def socialcrawl(params):
    # One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
    idempotency_key = str(uuid.uuid4())
    for attempt in range(MAX_RETRIES + 1):
        try:
            res = requests.get(
                URL,
                params=params,
                headers={"x-api-key": API_KEY, "Idempotency-Key": idempotency_key},
                timeout=TIMEOUT_S,
            )
            body = res.json()
        except (requests.RequestException, ValueError):
            # A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
            if attempt == MAX_RETRIES:
                raise
            time.sleep(backoff(attempt))
            continue
        if body["success"]:
            return body
        error = body["error"]
        # Branch on error["type"], never on the message text.
        if error["type"] == "RESOURCE_NOT_FOUND":
            return None  # refunded: nothing to read
        retry_after = res.headers.get("Retry-After")
        # SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
        permanent = error["type"] == "SERVICE_UNAVAILABLE" and retry_after is None
        if not error.get("retryable") or permanent or attempt == MAX_RETRIES:
            raise RuntimeError(f"{error['type']}: {error['message']} (request_id {body['request_id']})")
        # Retry-After (seconds) wins; otherwise back off.
        time.sleep(float(retry_after) if retry_after else backoff(attempt))


params = {
    "keyword": "openai",
}
body = socialcrawl(params)
if body is not None:
    print(body["data"])
// GET /v1/content_analysis/summary: 20 credits per call. Cache hits are free and failed calls are refunded.
// Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
const API_KEY = process.env.SOCIALCRAWL_API_KEY ?? "YOUR_API_KEY";
const TIMEOUT_MS = 60_000; // the API's own time limit for this endpoint.
const MAX_RETRIES = 3;

type Page = { next_cursor: string | null; has_more: boolean };
type SocialCrawlResponse =
  | { success: true; data: any; pagination?: Page; credits_used: number; request_id: string }
  | { success: false; error: { type: string; message: string; retryable: boolean }; request_id: string };

const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
// Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
const backoffMs = (attempt: number) => 2 ** attempt * 1000 * (0.5 + Math.random() / 2);

async function socialcrawl(url: URL) {
  // One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
  const idempotencyKey = crypto.randomUUID();
  for (let attempt = 0; ; attempt++) {
    let res: Response;
    let body: SocialCrawlResponse;
    try {
      res = await fetch(url, {
        headers: {
          "x-api-key": API_KEY,
          "Idempotency-Key": idempotencyKey,
        },
        signal: AbortSignal.timeout(TIMEOUT_MS),
      });
      body = (await res.json()) as SocialCrawlResponse;
    } catch (error) {
      // A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
      if (attempt >= MAX_RETRIES) throw error;
      await sleep(backoffMs(attempt));
      continue;
    }
    if (body.success) return body;
    // Branch on error.type, never on the message text.
    if (body.error.type === "RESOURCE_NOT_FOUND") return null; // refunded: nothing to read
    const retryAfter = res.headers.get("Retry-After");
    // SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
    const permanent = body.error.type === "SERVICE_UNAVAILABLE" && retryAfter === null;
    if (!body.error.retryable || permanent || attempt >= MAX_RETRIES) {
      throw new Error(`${body.error.type}: ${body.error.message} (request_id ${body.request_id})`);
    }
    // Retry-After (seconds) wins; otherwise back off.
    await sleep(retryAfter ? Number(retryAfter) * 1000 : backoffMs(attempt));
  }
}

const url = new URL("https://www.socialcrawl.dev/v1/content_analysis/summary");
url.searchParams.set("keyword", "openai");

const body = await socialcrawl(url);
if (body) console.log(body.data);

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 filter expression as a JSON array (≤8 conditions).
Example Response

What does the Content Analysis Summary API return?

Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.

Example response
{
  "success": true,
  "platform": "content_analysis",
  "endpoint": "/v1/content_analysis/summary",
  "data": {
    "type": "content_analysis_summary",
    "total_count": 4000000,
    "rank": 618,
    "top_domains": [
      {
        "domain": "bvmsports.com",
        "count": 184016
      },
      {
        "domain": "gptsapp.io",
        "count": 157928
      }
    ],
    "sentiment_connotations": {
      "anger": 1128,
      "happiness": 96112,
      "love": 2384,
      "sadness": 440,
      "share": 170400,
      "fun": 1184
    },
    "connotation_types": {
      "positive": 1161648,
      "negative": 1614880,
      "neutral": 594176
    },
    "text_categories": [
      {
        "category": null,
        "count": 713712
      },
      {
        "category": [
          10108,
          10013
        ],
        "count": 142224
      }
    ],
    "page_categories": [
      {
        "category": null,
        "count": 1391728
      },
      {
        "category": [
          10137,
          10015
        ],
        "count": 37488
      }
    ],
    "page_types": {
      "blogs": 1833144,
      "organization": 1032176,
      "news": 2010184,
      "message-boards": 153360,
      "ecommerce": 362512
    },
    "countries": {
      "US": 488024,
      "VN": 384192,
      "WW": 192728,
      "IO": 188320,
      "AI": 134328,
      "IN": 84960,
      "BR": 73296,
      "DE": 62584,
      "FR": 37976,
      "CO": 36920
    },
    "languages": {
      "en": 2069856,
      "vi": 393104,
      "zh-CN": 326392,
      "fr": 254496,
      "es": 180976,
      "pt": 180408,
      "de": 72664,
      "ko": 63976,
      "it": 43128,
      "ar": 44632
    }
  },
  "credits_used": 20,
  "request_id": "req_example000000",
  "cached": false,
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T13:05:37.168Z",
  "redacted": true
}

Live sample illustrating the unified response shape. Field values reflect the record you query.

API Details

How does the Content Analysis Summary API work?

Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.

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 69 platforms covering 10B+ monthly active users.

One schema, every platform

Query 69 platforms with identical response structures. Write your integration once.

Computed fields, not just scraped

When an endpoint supports these metrics and the source provides the required inputs, the normalized record 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"
    }
  }
}
+ 69 platforms
FAQ

Have a question? We got answers

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

Contact us
How do I get a roll-up of brand mentions in one call?
Send a GET request to /v1/content_analysis/summary with the keyword parameter. Instead of paging through every mention, you get one aggregate object: total mention count, top domains, sentiment totals, positive/negative/neutral split, top categories, and breakdowns by page type, country, and language.
What does the media monitoring summary return?
It returns the total web-mention count for the keyword, the top domains citing it, overall sentiment totals, the positive/negative/neutral connotation split, the leading content categories, and per-page-type, per-country, and per-language breakdowns, a one-call dashboard for any term.
When should I use summary instead of search?
Use summary when you want the shape of mention volume and sentiment for a keyword without reading individual pages, and search when you need the actual mentions. A common flow is summary first to size the conversation, then search to drill into specific mentions.
Can I tune the sentiment thresholds in the summary?
Yes. Optional positive_connotation_threshold and sentiments_connotation_threshold control where the model splits positive, negative, and neutral, and internal_list_limit caps the top-N lists. Leave them unset to use SocialCrawl's defaults.
How much does the media monitoring summary cost?
Each summary request costs 20 credits on the advanced tier. One call replaces paging through thousands of mentions. New accounts get 100 free credits with no credit card required, so you can profile several brands before you pay.

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