Google Trends Scraper API

Q: What is the Google Trends API?

It's a scraping API that extracts data from Google Trends as structured JSON. You can get search interest over time (normalized 0-100 values), regional interest breakdowns, related queries, related topics, and real-time trending searches without dealing with Google's internal APIs or session management.

Q: What data can I extract?

The API has two endpoints. The Trends Data endpoint returns interest over time, interest by region, related queries (top and rising), and related topics. The Trending Now endpoint returns real-time trending searches with search volume, growth percentage, related queries, and category tags.

Q: How do I get related queries or related topics?

Use the data_type parameter. Set data_type=RELATED_QUERIES for related queries, or data_type=RELATED_TOPICS for related topic entities from Google's Knowledge Graph. These are not included in the default response. You request them explicitly.

Q: Can I track trends for a specific country or region?

Yes. Use the geo parameter for country-level targeting (e.g., geo=US, geo=GB, geo=DE) or sub-region targeting (e.g., geo=US-CA for California). For the Trending Now endpoint, geo is required.

Q: Can I filter trending searches by category?

Yes. The Trending Now endpoint supports a cat parameter with category IDs. For example, cat=17 for Sports, cat=18 for Technology, cat=4 for Entertainment, and so on. Set cat=0 for all categories.

Q: Does the API support bulk processing?

Yes. Use the Async API with the google/trends plugin key to process multiple trend queries in parallel. Submit up to 1000 parameter sets in a single job. See the Async API documentation for details.

Q: Where can I find the full API reference?

Check out the Google Trends API documentation for the complete parameter list, all data_type options, and full response field descriptions.

Google Trends Data, Structured and At Scale

Extract search interest over time, regional breakdowns, related queries, related topics, and real-time trending searches from Google Trends. Structured JSON with no blocks or CAPTCHAs.

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Any Country, Any Time Range

Target any country or region with the geo parameter, from worldwide to country-level (`US`, `GB`, `DE`) to sub-region (`US-CA`). Combine with city-level granularity for precise regional insights.

Control the time range from the last 4 hours up to 5 years, or specify a custom date range. Filter by Google property: web search, YouTube, Google News, Google Images, or Google Shopping.

All Trends Data Types

Get interest over time (weekly normalized values 0-100), regional interest breakdowns, related queries (top and rising), and related topics (Google Knowledge Graph entities), each available on demand.

Separately track real-time trending searches with search volume, growth percentage, related queries, and category tags. The same data shown on trends.google.com/trending.

How It Works

Select your endpoint:

Select a Target

Send API Request

import requests
import json

token = "<SDO-token>"
query = "bitcoin"
geo = "US"

url = f"https://api.scrape.do/plugin/google/trends?token={token}&q={query}&geo={geo}"

response = requests.request("GET", url)

print(json.dumps(response.json(), indent=2))

Get Structured JSON

JSON

{
  "search_parameters": {
    "q": "bitcoin",
    "geo": "US",
    "hl": "en",
    "date": "today 12-m",
    "tz": "420"
  },
  "interest_over_time": {
    "timeline_data": [
      {
        "date": "Apr 6 – 12, 2025",
        "timestamp": "1743897600",
        "values": [{ "query": "bitcoin", "value": "40", "extracted_value": 40 }]
      },
      {
        "date": "Feb 1 – 7, 2026",
        "timestamp": "1769904000",
        "values": [{ "query": "bitcoin", "value": "100", "extracted_value": 100 }]
      }
    ]
  },
  "interest_by_region": [
    {
      "geo": "US-HI",
      "location": "Hawaii",
      "max_value_index": 0,
      "value": "100",
      "extracted_value": 100
    },
    {
      "geo": "US-NV",
      "location": "Nevada",
      "max_value_index": 0,
      "value": "99",
      "extracted_value": 99
    },
    {
      "geo": "US-CA",
      "location": "California",
      "max_value_index": 0,
      "value": "88",
      "extracted_value": 88
    }
  ]
}

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