Pricing

from $25.00 / 1,000 results

Google Trends Scraper

Extract Google Trends data: related searches (top & rising), geographic interest by region, and interest over time. Supports multiple keywords, custom time ranges, geo filtering, and categories. Fast, no browser needed.

Pricing

from $25.00 / 1,000 results

Rating

0.0

(0)

Developer

Agenscrape

Actor stats

Bookmarked

448

Total users

191

Monthly active users

6 months ago

Last modified

Categories

News

Automation

You can access the Google Trends Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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          "keywords"
        ],
        "properties": {
          "keywords": {
            "title": "Keywords",
            "type": "array",
            "description": "List of keywords/topics to search for in Google Trends",
            "items": {
              "type": "string"
            }
          },
          "geo": {
            "title": "Geographic Location",
            "type": "string",
            "description": "Two-letter country code (e.g., US, GB, DE). Leave empty for worldwide data."
          },
          "timeRange": {
            "title": "Time Range",
            "enum": [
              "now 1-H",
              "now 4-H",
              "now 1-d",
              "now 7-d",
              "today 1-m",
              "today 3-m",
              "today 12-m",
              "today 5-y",
              "all"
            ],
            "type": "string",
            "description": "Time period for the trends data",
            "default": "now 1-d"
          },
          "category": {
            "title": "Category",
            "minimum": 0,
            "type": "integer",
            "description": "Google Trends category ID (0 = All categories)",
            "default": 0
          },
          "includeRelatedSearches": {
            "title": "Include Related Searches",
            "type": "boolean",
            "description": "Extract top and rising related search queries",
            "default": true
          },
          "includeRelatedTopics": {
            "title": "Include Related Topics",
            "type": "boolean",
            "description": "Extract top and rising related topics (entities). Uses browser automation for accurate data.",
            "default": true
          },
          "includeGeoData": {
            "title": "Include Geographic Data",
            "type": "boolean",
            "description": "Extract interest by region/country",
            "default": true
          },
          "includeInterestOverTime": {
            "title": "Include Interest Over Time",
            "type": "boolean",
            "description": "Extract historical interest data points",
            "default": true
          },
          "useBrowserForTopics": {
            "title": "Use Browser for Related Topics",
            "type": "boolean",
            "description": "Attempt browser automation to fetch related topics. May be rate limited. Disable for faster, more reliable results using HTTP API.",
            "default": false
          }
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                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
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                    "example": 0
                  },
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                  },
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                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
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                  },
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Google Trends Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Google Trends Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Google Trends Scraper API in Python

Google Trends Scraper API in JavaScript

Google Trends Scraper API through CLI

Google Trends Scraper API

Google Trends Scraper 💎

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Google RealTime Trends Data Scraper

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Google Trends Scraper

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Scrape data from Google Trends by search terms or URLs. Specify locations, define time ranges, select categories to get interest by subregion and over time, related queries and topics, and more. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

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steadyfetch/google-trends-scraper

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Scrape real-time and historical Google Trends data, including interest over time, related queries, topics, and regional popularity. Perfect for SEO, market research, forecasting, and trend analysis. Fast, accurate, and ideal for building data-driven insights.