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Content Analysis Rating Distribution API

Name: Content Analysis Rating Distribution API
Brand: SocialCrawl
Availability: InStock

Scrape Content Analysis Rating Distribution data with one API call. Returns a 10-bucket histogram (0.0–0.1 … 0.9–1.0) of the relative ratings found across web mentions of the keyword. Each bucket carries a full summary sub-object (total_count, top_domains, sentiment, categories, page types, countries, languages) so you can see how sentiment and sources vary with rating. Best for products and review-heavy terms.

Last updated July 2026Maintained by the SocialCrawl team

Start for free View Documentation

Searching 44 platforms in parallel

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Kwai·

Rumble·

Spotify·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Google News·

Google Finance·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·Utility·

Universal Search

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Kwai·

Rumble·

Spotify·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Google News·

Google Finance·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·Utility·

Universal Search

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Kwai·

Rumble·

Spotify·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Google News·

Google Finance·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·Utility·

Universal Search

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Kwai·

Rumble·

Spotify·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Google News·

Google Finance·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·Utility·

Universal Search

Content Analysis API

What can you do with the Rating Distribution API?

The Rating Distribution endpoint gives you structured Content Analysis data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

curl -H "x-api-key: YOUR_API_KEY" \
  "https://www.socialcrawl.dev/v1/content_analysis/rating-distribution?keyword=iphone"

import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/content_analysis/rating-distribution",
    params={
    'keyword': 'iphone',
    },
    headers={"x-api-key": "YOUR_API_KEY"},
)

data = response.json()

const response = await fetch(
  "https://www.socialcrawl.dev/v1/content_analysis/rating-distribution?keyword=iphone",
  {
    headers: { "x-api-key": "YOUR_API_KEY" },
  },
);

const data = await response.json();

Parameters

Parameter	Required	Description
keyword	Yes	Product or term to build the rating histogram for.
page_type	No	Narrow to one or more page types (comma-separated): ecommerce, news, blogs, message-boards, organization. (ecommerce \| news \| blogs \| message-boards \| organization)
filters	No	Advanced DataForSEO filter expression as a JSON array (≤8 conditions).

Example Response

What does the Content Analysis Rating Distribution 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": "instagram",
  "endpoint": "/v1/instagram/engagement",
  "data": {
    "engagement_rate_percentages": 38.33,
    "recent_posts": 12,
    "followers": 87608035,
    "comments": 528912,
    "likes": 33049046,
    "recent_posts_explanation": "Statistics based on the last 12 posts",
    "id_user": "2278169415",
    "username": "mrbeast",
    "is_private": false,
    "posts_details": [
      {
        "likes": 5636982,
        "comments": 69484,
        "taken_at": 1781457954,
        "datetime": "2026-06-14 20:25:54",
        "hours_since_post": 461,
        "time_ago": "19 days ago",
        "likes_per_hour": 12228,
        "comments_per_hour": 151
      },
      {
        "likes": 20000768,
        "comments": 223510,
        "taken_at": 1732824650,
        "datetime": "2024-11-28 23:10:50",
        "hours_since_post": 13971,
        "time_ago": "2 years ago",
        "likes_per_hour": 1432,
        "comments_per_hour": 16
      },
      {
        "likes": 929226,
        "comments": 30633,
        "taken_at": 1782232475,
        "datetime": "2026-06-23 19:34:35",
        "hours_since_post": 246,
        "time_ago": "10 days ago",
        "likes_per_hour": 3777,
        "comments_per_hour": 125
      },
      {
        "likes": 487761,
        "comments": 22482,
        "taken_at": 1781799425,
        "datetime": "2026-06-18 19:17:05",
        "hours_since_post": 366,
        "time_ago": "15 days ago",
        "likes_per_hour": 1333,
        "comments_per_hour": 61
      },
      {
        "likes": 712265,
        "comments": 15716,
        "taken_at": 1781366405,
        "datetime": "2026-06-13 19:00:05",
        "hours_since_post": 487,
        "time_ago": "20 days ago",
        "likes_per_hour": 1463,
        "comments_per_hour": 32
      },
      {
        "likes": 1475116,
        "comments": 35386,
        "taken_at": 1781277094,
        "datetime": "2026-06-12 18:11:34",
        "hours_since_post": 512,
        "time_ago": "21 days ago",
        "likes_per_hour": 2881,
        "comments_per_hour": 69
      },
      {
        "likes": 1108220,
        "comments": 26632,
        "taken_at": 1780160249,
        "datetime": "2026-05-30 19:57:29",
        "hours_since_post": 822,
        "time_ago": "1 months ago",
        "likes_per_hour": 1348,
        "comments_per_hour": 32
      },
      {
        "likes": 542948,
        "comments": 28476,
        "taken_at": 1779375582,
        "datetime": "2026-05-21 17:59:42",
        "hours_since_post": 1040,
        "time_ago": "1 months ago",
        "likes_per_hour": 522,
        "comments_per_hour": 27
      },
      {
        "likes": 698514,
        "comments": 24401,
        "taken_at": 1779120014,
        "datetime": "2026-05-18 19:00:14",
        "hours_since_post": 1111,
        "time_ago": "2 months ago",
        "likes_per_hour": 629,
        "comments_per_hour": 22
      },
      {
        "likes": 468000,
        "comments": 13548,
        "taken_at": 1778947209,
        "datetime": "2026-05-16 19:00:09",
        "hours_since_post": 1159,
        "time_ago": "2 months ago",
        "likes_per_hour": 404,
        "comments_per_hour": 12
      },
      {
        "likes": 526594,
        "comments": 24411,
        "taken_at": 1777737719,
        "datetime": "2026-05-02 19:01:59",
        "hours_since_post": 1495,
        "time_ago": "2 months ago",
        "likes_per_hour": 352,
        "comments_per_hour": 16
      },
      {
        "likes": 462652,
        "comments": 14233,
        "taken_at": 1777580305,
        "datetime": "2026-04-30 23:18:25",
        "hours_since_post": 1538,
        "time_ago": "2 months ago",
        "likes_per_hour": 301,
        "comments_per_hour": 9
      }
    ]
  },
  "credits_used": 5,
  "credits_remaining": 9999,
  "request_id": "req_example000000",
  "cached": false
}

Example captured from the Instagram API. Every SocialCrawl endpoint returns this same unified schema, so your Content Analysis Rating Distribution response has the same fields.

API Details

How does the Content Analysis Rating Distribution 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 Rating Distribution 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.

One schema for every platform — write your integration once
When an endpoint supports a computed field and the required source inputs are available, normalized records can include fields such as engagement rate, reach, category, and language
No scraping infrastructure to build, no proxies to manage, no rate limits to fight
Current public Content Analysis data, with the endpoint's documented cache window and 0-credit hits; send Cache-Control: no-cache for a billed refresh

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

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"
    }
  }
}

+ 44 platforms

FAQ

Have a question? We got answers

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

How do I get a rating histogram for brand mentions?

Send a GET request to /v1/content_analysis/rating-distribution with the keyword parameter. You get a 10-bucket histogram of the relative ratings across web mentions of that term — buckets running 0.0–0.1 through 0.9–1.0 — with each bucket carrying its own summary.

What do the 10 buckets represent?

Each bucket spans a tenth of the rating scale, from 0.0–0.1 up to 0.9–1.0, and counts how many mentions of the keyword fall in that band. The shape of the histogram tells you whether the conversation skews favorable, unfavorable, or middling at a glance.

How is rating-distribution different from sentiment?

Sentiment returns connotation and 6-axis emotion distributions; rating-distribution buckets mentions by their relative rating into a histogram. Use rating-distribution when you want to see how opinion clusters across a 0-to-1 scale rather than its emotional makeup.

Is the rating data model-derived?

Yes. Like the rest of the content analysis API, the ratings come from DataForSEO's NLP over web pages, not from human reviews. SocialCrawl passes the values through verbatim, so treat the histogram as a model estimate and set your own thresholds.

How much does the rating distribution API cost?

Each rating-distribution request costs 5 credits on the advanced tier. New accounts get 100 free credits with no credit card required, so you can chart the rating spread for several keywords before you pay anything.

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