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Google Trends Scraper API

Google Trends API through SocialCrawl: interest-over-time for up to 5 keywords with normalised 0-100 scores, plus the rising and top related queries behind any trend — scoped by location, timeframe, and category. Structured JSON from one GET request, on the same x-api-key as 43 other platforms.

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TL;DR

The Google Trends API by SocialCrawl returns Google Trends data as structured JSON — 2 endpoints behind one x-api-key, from 5 credits per call. It shares one unified schema with 43 other platforms, so the same client code works everywhere.

Where to find SocialCrawl

Listed on MCP RegistryPublished on npmOn skills.sh + ClawHub
Live demo

Try the Google Trends 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 Google Trends Explore API

See real data before writing a single line

GET/v1/google_trends/explore

1-5 comma-separated keywords (e.g. 'reverse audio,voice changer'). With multiple keywords the 0-100 values are normalised across the set for direct comparison.

3 optional parameters

Location as a DFS name ('United States') or numeric code ('2840'). Defaults to worldwide-leaning US.

Preset time window: past_hour, past_4_hours, past_day, past_7_days, past_30_days, past_90_days, past_12_months, or past_5_years. Defaults to past_12_months.

Numeric Google Trends category code to scope the query (default 0 = all categories).

Endpoints

What data does the Google Trends 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

Exploreadvanced

Get Google Trends interest over time

Risingadvanced

Get related + rising Google Trends queries

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.

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Comparison

How does SocialCrawl compare to Scraping Google Trends yourself for Google Trends data?

Same Google Trends data, two very different paths. Auth, rate limits, schema, and cost — side by side.

Access

SocialCrawl
One GET request returns structured JSON
Scraping Google Trends yourself
No official API; scrape the site or export CSVs by hand

Keyword comparison

SocialCrawl
Up to 5 keywords, scores normalised across the set
Scraping Google Trends yourself
Manual compare-view exports, one screenshot at a time

Rising queries

SocialCrawl
Breakout list with growth percentages in the response
Scraping Google Trends yourself
Fragile DOM scraping that breaks on layout changes

Freshness

SocialCrawl
Sourced live per call, typically 3-8 seconds
Scraping Google Trends yourself
Whenever your scraper last survived

Pricing

SocialCrawl
Advanced-tier credits, one balance across 44 platforms
Scraping Google Trends yourself
Proxy and maintenance costs plus blocked-request retries
Quick answers

How much does Google Trends scraping cost?

SocialCrawl uses credit-based pricing: you pay per API call, and most Google Trends 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 Google Trends scraping legal?

SocialCrawl returns publicly available Google Trends 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.

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Ready to start scraping Google Trends data?

Get your API key and access all 2 Google Trends endpoints in under 60 seconds.

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