# Google Trends Scraper (`crw/google-trends-scraper`) Actor Collect real-time trending topics from Google Trends by country, time range, and category. Paste any Google Trends URL and get structured data in seconds. - **URL**: https://apify.com/crw/google-trends-scraper.md - **Developed by:** [CRW](https://apify.com/crw) (community) - **Categories:** SEO tools, News, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 **Turn any Google Trends URL into structured data — instantly.** Stop wrestling with Google's anti-bot defenses. Paste your Google Trends URL and get clean, structured trending data in seconds. No login. No CAPTCHA. No proxy setup required. --- ### Why Use This Scraper? - **Fast & reliable** — Single API call returns up to 265 trending topics at once. No pagination. - **Global coverage** — Works for any country Google Trends supports: Korea, US, Taiwan, Japan, and more. - **Real-time status** — Every topic is tagged `active` or `ended` so you know exactly what's still trending right now. - **News articles included** — Each trend comes with the top news articles driving it: title, URL, source, publish time, and image. No extra calls needed. - **Category filtering** — Narrow results to Sports, Entertainment, Technology, and more by simply copying the filtered URL from your browser. - **Flexible time ranges** — Last 4 hours for breaking trends, up to 7 days for sustained patterns. - **No proxy needed** — Built-in browser fingerprinting handles Google's bot detection automatically. - **Ready for automation** — Integrate with Make, n8n, or any tool that reads from the Apify dataset API. --- ### What You Get Each trending topic includes: | Field | Description | |-------|-------------| | `keyword` | The trending search term | | `geo` | Country code (`KR`, `US`, `TW`, …) | | `status` | `active` — still trending now / `ended` — peaked and returned to normal | | `startedAt` | When the trend started (Unix timestamp) | | `endedAt` | When it ended (Unix timestamp) — `null` if still active | | `searchVolume` | Search volume bucket (100 – 200,000) | | `relativeVolume` | Relative spike score (50 – 1,000) | | `relatedQueries` | Related search terms people are also searching | | `categories` | Category IDs (Sports, Entertainment, etc.) | | `newsArticles` | Top news articles driving the trend — title, URL, source, publish time, image | --- ### Quick Start #### 1. Get your URL from Google Trends Go to [trends.google.com/trending](https://trends.google.com/trending), select your country, time range, and category. Copy the URL from your browser's address bar. ```` https://trends.google.com/trending?geo=KR\&hours=24 https://trends.google.com/trending?geo=US\&hours=4 https://trends.google.com/trending?geo=TW\&hours=24\&category=6 ```` #### 2. Configure the Actor | Field | Required | Description | |-------|----------|-------------| | `urls` | yes | One or more Google Trends trending URLs (one per line) | | `maxResults` | no | Max results per URL. Leave empty to get everything. | #### 3. Run and integrate Results are available instantly via the Apify dataset API, ready to plug into any workflow. --- ### Use Cases **Content creators & marketers** Track what's trending in your target country right now. Use the 4-hour window to catch breaking trends before they peak. **E-commerce & product research** Monitor trending searches in specific categories (Shopping, Technology) to spot demand spikes early. **News & media monitoring** Get trending topics with related queries and ready-to-use news articles (title, URL, source, image) — perfect for editorial planning or automated content pipelines. **Competitive intelligence** Compare trending topics across multiple countries in a single run by providing multiple URLs. --- ### URL Parameters | Parameter | Description | Options | |-----------|-------------|---------| | `geo` | Country code | `KR`, `US`, `TW`, `JP`, `GB`, `DE`, … | | `hours` | Time range | `4` (4h), `24` (24h), `48` (48h), `168` (7 days) | | `category` | Category filter (optional) | Select in Google Trends UI, copy from URL | > **Category filtering** is applied after fetching — the Google Trends API returns all categories server-side, and we filter to your selection locally. Results may be fewer than `maxResults` when a category is active. --- ### Pro Tips - **Breaking trends**: Use `hours=4` to catch what's exploding right now - **Sustained trends**: Use `hours=168` (7 days) to find topics with lasting momentum - **Multi-country runs**: Paste multiple URLs (one per line) to collect trends from several countries in one run - **Category + volume combo**: Filter by category, then sort by `searchVolume` to find the biggest trending topics in your niche --- ### Integrations Works out of the box with Apify's native integrations: - **Make (Integromat)** — Schedule daily trend collection and push to Google Sheets - **n8n** — Build automated trend monitoring pipelines - **Apify API** — Call directly from your app or data pipeline - **MCP (AI Agents)** — Use with AI agents via the Apify MCP Server # Actor input Schema ## `urls` (type: `array`): Google Trends trending URLs to scrape (one per line). https://trends.google.com/trending?geo=KR&hours=24 https://trends.google.com/trending?geo=US&hours=4 https://trends.google.com/trending?geo=TW&hours=24&category=6 Go to trends.google.com/trending, select country / time range / category, then copy the URL from your browser's address bar and paste it here. Supported query params: • geo — country code (KR, US, TW, JP ...) • hours — time range: 4, 24, 48, 168 (7 days) • category — category ID (optional). Filtered client-side. ## `maxResults` (type: `integer`): Maximum number of trending topics to collect per URL. Omit to return all results. ## Actor input object example ```json { "urls": [ "https://trends.google.com/trending?geo=KR&hours=24" ] } ```` # Actor output Schema ## `api` (type: `string`): REST API endpoint to download the dataset programmatically. # 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 = { "urls": [ "https://trends.google.com/trending?geo=KR&hours=24" ] }; // Run the Actor and wait for it to finish const run = await client.actor("crw/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 = { "urls": ["https://trends.google.com/trending?geo=KR&hours=24"] } # Run the Actor and wait for it to finish run = client.actor("crw/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 '{ "urls": [ "https://trends.google.com/trending?geo=KR&hours=24" ] }' | apify call crw/google-trends-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crw/google-trends-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Trends Scraper", "description": "Collect real-time trending topics from Google Trends by country, time range, and category. Paste any Google Trends URL and get structured data in seconds.", "version": "0.0", "x-build-id": "xJAbtK3rv5ZN6kPXE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crw~google-trends-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crw-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crw~google-trends-scraper/runs": { "post": { "operationId": "runs-sync-crw-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crw~google-trends-scraper/run-sync": { "post": { "operationId": "run-sync-crw-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Trending URLs", "type": "array", "description": "Google Trends trending URLs to scrape (one per line).\n\nhttps://trends.google.com/trending?geo=KR&hours=24\nhttps://trends.google.com/trending?geo=US&hours=4\nhttps://trends.google.com/trending?geo=TW&hours=24&category=6\n\nGo to trends.google.com/trending, select country / time range / category, then copy the URL from your browser's address bar and paste it here.\n\nSupported query params:\n• geo — country code (KR, US, TW, JP ...)\n• hours — time range: 4, 24, 48, 168 (7 days)\n• category — category ID (optional). Filtered client-side.", "items": { "type": "string" } }, "maxResults": { "title": "Max Results per URL", "minimum": 15, "type": "integer", "description": "Maximum number of trending topics to collect per URL. Omit to return all results." } } }, "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 } } } } } } } } } } ```