# Google Trends Scraper (`trendlab/google-trends-scraper`) Actor Extract Google Trends data: interest over time, related queries, rising topics, and regional interest for any keyword. Fast, reliable, AI-ready JSON output. - **URL**: https://apify.com/trendlab/google-trends-scraper.md - **Developed by:** [Cheoljae Lee](https://apify.com/trendlab) (community) - **Categories:** SEO tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 keyword analyzeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Google Trends Scraper Extract **Google Trends data** for any keyword β€” **interest over time, related queries, rising searches, and interest by region** β€” as clean, AI-ready JSON. No official Google Trends API exists; this Actor gives you a fast, reliable alternative with pay-per-result pricing. ### What does Google Trends Scraper do? - πŸ“ˆ **Interest over time** β€” search interest (0–100) for any keyword, from the past hour to 2004–present, including custom date ranges - πŸ” **Related queries** β€” top and rising (breakout) search queries connected to your keyword - 🌍 **Interest by region** β€” which countries or subregions search for your keyword the most - 🧩 **Related topics** *(experimental)* β€” associated entities and topics when Google returns them - 🌐 **Any region, any Google property** β€” Web Search, YouTube, Google News, Images, or Shopping, worldwide or per country/region - πŸ€– **AI-ready output** β€” normalized JSON with ISO timestamps, designed for LLM pipelines, dashboards, and MCP/AI-agent use ### Why scrape Google Trends? Google Trends has no official API for search interest data. Marketers, SEO specialists, traders, researchers, and AI agents use this Actor to: - Track **keyword popularity trends** for SEO and content planning - Detect **breakout searches** early (rising queries with "Breakout" status) - Compare **regional demand** before launching products or campaigns - Feed **time-series search data** into forecasting models and trading signals - Let **AI agents** pull live trend data via the Apify MCP server ### Input example ```json { "keywords": ["bitcoin", "solana"], "geo": "US", "timeRange": "today 12-m", "dataTypes": ["interestOverTime", "relatedQueries", "interestByRegion"] } ```` ### Output example ```json { "keyword": "bitcoin", "geo": "US", "timeRange": "today 12-m", "interestOverTime": [ { "time": "2025-07-06T00:00:00.000Z", "formattedTime": "Jul 6 – 12, 2025", "value": 36, "isPartial": false } ], "relatedQueries": { "top": [{ "query": "bitcoin price", "value": 100, "formattedValue": "100" }], "rising": [{ "query": "bitcoin etf", "value": 250, "formattedValue": "+250%" }] }, "interestByRegion": [ { "geoCode": "US-NV", "geoName": "Nevada", "value": 100 } ] } ``` ### How much does it cost? This Actor uses **pay-per-event pricing**: you pay a small fee per keyword processed. A typical run analyzing 100 keywords costs well under $1. No subscription required. ### FAQ **Is scraping Google Trends legal?** This Actor only collects anonymous, aggregated, publicly available statistics. It does not collect personal data. Still, check that your use complies with applicable laws and Google's terms. **Why is `relatedTopics` sometimes empty?** Google restricts topic data for automated sessions. Interest over time, related queries, and regional data are unaffected. We are working on improving topic coverage. **Can I use this with AI agents / MCP?** Yes. This Actor works with the [Apify MCP server](https://mcp.apify.com), so Claude, ChatGPT, and other AI agents can call it directly and pay per use. **A keyword failed or returned empty data β€” what should I do?** The Actor automatically retries with fresh sessions. Failed keywords are listed in the `FAILED_KEYWORDS` record of the run's key-value store. Open an issue in the **Issues tab** and we'll respond within 24 hours. ### Support Found a bug or need a feature (new widget, bulk comparison, scheduling)? Open an issue in the Issues tab β€” this Actor is actively maintained and issues are typically answered within one business day. # Actor input Schema ## `keywords` (type: `array`): Search terms to get Google Trends data for. Each keyword is processed separately. ## `geo` (type: `string`): Two-letter country code (e.g. US, GB, KR) or region code (e.g. US-CA). Leave empty for worldwide. ## `timeRange` (type: `string`): Time range for the trends data. ## `customTimeRange` (type: `string`): Custom date range in format 'YYYY-MM-DD YYYY-MM-DD', e.g. '2025-01-01 2025-06-30'. ## `dataTypes` (type: `array`): Which Google Trends widgets to extract for each keyword. ## `category` (type: `integer`): Google Trends category ID to narrow results (0 = all categories). See Google Trends category list. ## `property` (type: `string`): Which Google property to get trends for. ## `proxyConfiguration` (type: `object`): Proxy settings. Google rate-limits by IP, so Apify Proxy is strongly recommended. ## `maxRetriesPerKeyword` (type: `integer`): How many times to retry a keyword on rate-limit or transient errors before giving up. ## Actor input object example ```json { "keywords": [ "bitcoin" ], "geo": "", "timeRange": "today 12-m", "dataTypes": [ "interestOverTime", "relatedQueries" ], "category": 0, "property": "", "proxyConfiguration": { "useApifyProxy": true }, "maxRetriesPerKeyword": 5 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "bitcoin" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("trendlab/google-trends-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": ["bitcoin"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("trendlab/google-trends-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "bitcoin" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call trendlab/google-trends-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=trendlab/google-trends-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Trends Scraper", "description": "Extract Google Trends data: interest over time, related queries, rising topics, and regional interest for any keyword. Fast, reliable, AI-ready JSON output.", "version": "0.1", "x-build-id": "Vm221DN3G3vbljCL6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/trendlab~google-trends-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-trendlab-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/trendlab~google-trends-scraper/runs": { "post": { "operationId": "runs-sync-trendlab-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/trendlab~google-trends-scraper/run-sync": { "post": { "operationId": "run-sync-trendlab-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "minItems": 1, "type": "array", "description": "Search terms to get Google Trends data for. Each keyword is processed separately.", "items": { "type": "string" } }, "geo": { "title": "Region (geo code)", "type": "string", "description": "Two-letter country code (e.g. US, GB, KR) or region code (e.g. US-CA). Leave empty for worldwide.", "default": "" }, "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 range for the trends data.", "default": "today 12-m" }, "customTimeRange": { "title": "Custom time range (overrides Time range)", "type": "string", "description": "Custom date range in format 'YYYY-MM-DD YYYY-MM-DD', e.g. '2025-01-01 2025-06-30'." }, "dataTypes": { "title": "Data to extract", "uniqueItems": true, "type": "array", "description": "Which Google Trends widgets to extract for each keyword.", "items": { "type": "string", "enum": [ "interestOverTime", "interestByRegion", "relatedQueries", "relatedTopics" ], "enumTitles": [ "Interest over time", "Interest by region", "Related queries", "Related topics (experimental β€” Google may return empty results)" ] }, "default": [ "interestOverTime", "relatedQueries" ] }, "category": { "title": "Category ID", "type": "integer", "description": "Google Trends category ID to narrow results (0 = all categories). See Google Trends category list.", "default": 0 }, "property": { "title": "Google property", "enum": [ "", "images", "news", "youtube", "froogle" ], "type": "string", "description": "Which Google property to get trends for.", "default": "" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Google rate-limits by IP, so Apify Proxy is strongly recommended.", "default": { "useApifyProxy": true } }, "maxRetriesPerKeyword": { "title": "Max retries per keyword", "minimum": 0, "maximum": 10, "type": "integer", "description": "How many times to retry a keyword on rate-limit or transient errors before giving up.", "default": 5 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "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" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```