# Google Trends Scraper - Interest, Related & Trending (`justfeel/google-trends-scraper`) Actor Reliable Google Trends data: interest over time, related queries & topics, interest by region, and real-time trending searches. Clean JSON output, proxy rotation built in. No login required. - **URL**: https://apify.com/justfeel/google-trends-scraper.md - **Developed by:** [Yusuf](https://apify.com/justfeel) (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 $0.70 / 1,000 results 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 — Interest Over Time, Related Queries, Regions & Trending Now Extract **Google Trends data as clean JSON** — no login, no browser, no flaky automation. Built on Google's own internal data endpoints with automatic cookie handling, token flow, and proxy rotation, so runs succeed where naive scrapers get blocked. ### What it does | Scrape type | Output | |---|---| | **Interest over time** | Search-interest score (0–100) per date for up to 5 keywords compared, any timeframe from 1 hour to 2004-present | | **Related queries & topics** | Top and rising related searches for a keyword — goldmine for SEO and content research. (Related *topics* are returned only when Google provides them; Google currently returns them sparsely.) | | **Interest by region** | Score per country, state, city, or US metro | | **Trending now** | Real-time trending searches per country with traffic estimates and linked news articles | ### Why this scraper - ✅ **Reliability-first design** — session warmup + token flow + automatic retry with proxy rotation on every 429/403 - ✅ **No browser** — pure HTTP, fast and cheap to run - ✅ **Structured output** — flat JSON records ready for Sheets, BI tools, or LLM/RAG pipelines - ✅ **Compare mode** — up to 5 keywords per comparison, longer lists chunked automatically - ✅ **Bring your own proxies** — optional custom proxy URLs, or use Apify residential proxy ### Use cases - **SEO & content**: keyword seasonality, rising queries, topic research - **E-commerce**: product demand validation before you stock or launch - **Market research**: brand interest by geography, competitor comparison - **AI agents & RAG**: feed live search-demand signals into LLM workflows - **Newsrooms & creators**: catch trending topics the moment they spike ### Input example ```json { "scrapeType": "interest_over_time", "keywords": ["chatgpt", "claude ai"], "geo": "US", "timeframe": "today 12-m" } ```` ### Output example ```json { "type": "interest_over_time", "keywords": ["chatgpt", "claude ai"], "geo": "US", "date": "Jul 18, 2026", "timestamp": 1784332800, "values": { "chatgpt": 51, "claude ai": 4 }, "is_partial": true } ``` ### Timeframe reference `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`, or custom ranges like `2024-01-01 2024-12-31`. ### FAQ **Is this legal?** The actor only accesses publicly available, aggregated, anonymous data — no personal data, no login, no paywall. **Why do some runs need residential proxies?** Google rate-limits datacenter IPs on high volume. Light usage works out of the box; for large batches enable Apify residential proxy or plug in your own. **Found an issue?** Open an issue on the actor page — maintenance and fast fixes are the whole point of this actor. # Actor input Schema ## `scrapeType` (type: `string`): Type of Google Trends data to extract. ## `keywords` (type: `array`): Keywords to analyze. Not needed for 'Trending now'. For interest over time, keywords are compared in groups of up to 5 (Google's limit). ## `geo` (type: `string`): Two-letter country code like US, GB, DE, TR - or empty for worldwide. For 'Trending now' this selects the trending feed country (default US). ## `timeframe` (type: `string`): Google Trends timeframe, e.g. 'now 1-d', 'now 7-d', 'today 1-m', 'today 3-m', 'today 12-m', 'today 5-y', 'all'. ## `resolution` (type: `string`): Granularity for 'Interest by region'. ## `proxyConfiguration` (type: `object`): Apify proxy settings. Residential proxies recommended for high-volume runs. ## `customProxyUrls` (type: `array`): Optional: your own proxy URLs (http://user:pass@host:port). Overrides Apify proxy when set. ## Actor input object example ```json { "scrapeType": "interest_over_time", "keywords": [ "chatgpt", "claude ai" ], "geo": "", "timeframe": "today 12-m", "resolution": "COUNTRY", "proxyConfiguration": { "useApifyProxy": true } } ``` # 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": [ "chatgpt", "claude ai" ] }; // Run the Actor and wait for it to finish const run = await client.actor("justfeel/google-trends-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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": [ "chatgpt", "claude ai", ] } # Run the Actor and wait for it to finish run = client.actor("justfeel/google-trends-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "chatgpt", "claude ai" ] }' | apify call justfeel/google-trends-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=justfeel/google-trends-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Trends Scraper - Interest, Related & Trending", "description": "Reliable Google Trends data: interest over time, related queries & topics, interest by region, and real-time trending searches. Clean JSON output, proxy rotation built in. No login required.", "version": "0.1", "x-build-id": "ViMXExvQrao0d3ZoX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/justfeel~google-trends-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-justfeel-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/justfeel~google-trends-scraper/runs": { "post": { "operationId": "runs-sync-justfeel-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/justfeel~google-trends-scraper/run-sync": { "post": { "operationId": "run-sync-justfeel-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "scrapeType" ], "properties": { "scrapeType": { "title": "What to scrape", "enum": [ "interest_over_time", "related", "interest_by_region", "trending_now" ], "type": "string", "description": "Type of Google Trends data to extract.", "default": "interest_over_time" }, "keywords": { "title": "Keywords", "type": "array", "description": "Keywords to analyze. Not needed for 'Trending now'. For interest over time, keywords are compared in groups of up to 5 (Google's limit).", "items": { "type": "string" } }, "geo": { "title": "Region (geo code)", "type": "string", "description": "Two-letter country code like US, GB, DE, TR - or empty for worldwide. For 'Trending now' this selects the trending feed country (default US).", "default": "" }, "timeframe": { "title": "Timeframe", "type": "string", "description": "Google Trends timeframe, e.g. 'now 1-d', 'now 7-d', 'today 1-m', 'today 3-m', 'today 12-m', 'today 5-y', 'all'.", "default": "today 12-m" }, "resolution": { "title": "Region resolution", "enum": [ "COUNTRY", "REGION", "CITY", "DMA" ], "type": "string", "description": "Granularity for 'Interest by region'.", "default": "COUNTRY" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy settings. Residential proxies recommended for high-volume runs.", "default": { "useApifyProxy": true } }, "customProxyUrls": { "title": "Custom proxy URLs (advanced)", "type": "array", "description": "Optional: your own proxy URLs (http://user:pass@host:port). Overrides Apify proxy when set.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```