# Google Trends Scraper (`resounding_diplomacy/google-trends-scraper`) Actor Scrape Google Trends data: real-time trending searches, search interest over time, related queries, related topics, and geographic interest data. Fast, cheap Cheerio-based scraper at $0.005/result — 8x cheaper than alternatives. - **URL**: https://apify.com/resounding\_diplomacy/google-trends-scraper.md - **Developed by:** [alars num](https://apify.com/resounding_diplomacy) (community) - **Categories:** Marketing, SEO tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Scrape Google Trends data: real-time trending searches, search interest over time, related queries, related topics, and geographic interest data. **Fast, cheap, Cheerio-based** — no browser overhead. At **$0.005/result**, this is **8x cheaper** than existing Google Trends actors that charge $0.04/result. ### Features - **Real-time trending searches** — Get what's trending now in any country - **Keyword exploration** — Analyze search interest for up to 5 keywords simultaneously - **Related queries** — Rising and breakout related queries for any keyword - **Related topics** — Discover topics related to your keywords - **Geographic data** — See interest by country/region - **Search interest timeline** — Track interest over custom time ranges - **Multi-country support** — Filter by any country code ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `mode` | string | `trending` | `trending` for real-time trends, `explore` for keyword analysis | | `keywords` | array | `[]` | Keywords to explore (up to 5). Only used in `explore` mode | | `geo` | string | `US` | Country code (US, GB, DE, JP, etc.) or empty for worldwide | | `timeRange` | string | `7d` | Time range: `1h`, `4h`, `1d`, `7d`, `30d`, `90d`, `12m`, `5y` | | `maxItems` | integer | `50` | Maximum number of results to return | ### Output Each result contains: | Field | Type | Description | |-------|------|-------------| | `keyword` | string | The trending topic or search keyword | | `trend_value` | string/null | Current trend interest or traffic value | | `change_percent` | string/null | Percentage change in interest | | `related_queries` | object | `{ rising: [...], breakout: [...] }` related queries | | `related_topics` | array | Related topics with interest values | | `geographic_data` | array | Top countries/regions with interest levels | | `search_interest_timeline` | array | Interest values over the selected time range | | `timestamp` | string | ISO timestamp of when data was scraped | ### Example Usage #### Trending Mode ```json { "mode": "trending", "geo": "US", "maxItems": 20 } ```` #### Explore Mode ```json { "mode": "explore", "keywords": ["artificial intelligence", "machine learning"], "geo": "US", "timeRange": "12m", "maxItems": 10 } ``` ### Notes - Google Trends does not have a public API — this actor scrapes the trends page directly - Uses CheerioCrawler (HTTP-based) for maximum speed and minimal cost - Google Trends may require JavaScript for some data — if results are limited, the actor includes a note in the output - Rate limiting is applied to avoid overwhelming Google's servers ### Cost **$0.005 per result** — significantly cheaper than alternatives. ### Changelog #### v1.0 - Initial release - Trending mode: real-time trending searches by country - Explore mode: keyword analysis with related queries, topics, and geographic data - Cheerio-based scraping for fast, cheap execution # Actor input Schema ## `mode` (type: `string`): Scraping mode: 'trending' for real-time trending searches, 'explore' for keyword search interest analysis ## `keywords` (type: `array`): Keywords to explore in 'explore' mode. Up to 5 keywords. Ignored in 'trending' mode. ## `geo` (type: `string`): Country code for geographic filtering (e.g., US, GB, DE, JP). Use '' for worldwide. ## `timeRange` (type: `string`): Time range for search interest data in 'explore' mode ## `maxItems` (type: `integer`): Maximum number of trending topics or results to return ## Actor input object example ```json { "mode": "trending", "keywords": [], "geo": "US", "timeRange": "7d", "maxItems": 50 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("resounding_diplomacy/google-trends-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("resounding_diplomacy/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 '{}' | apify call resounding_diplomacy/google-trends-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=resounding_diplomacy/google-trends-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Trends Scraper", "description": "Scrape Google Trends data: real-time trending searches, search interest over time, related queries, related topics, and geographic interest data. Fast, cheap Cheerio-based scraper at $0.005/result — 8x cheaper than alternatives.", "version": "1.0", "x-build-id": "CqxVdJI5Z9xgU2eeq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/resounding_diplomacy~google-trends-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-resounding_diplomacy-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/resounding_diplomacy~google-trends-scraper/runs": { "post": { "operationId": "runs-sync-resounding_diplomacy-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/resounding_diplomacy~google-trends-scraper/run-sync": { "post": { "operationId": "run-sync-resounding_diplomacy-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", "properties": { "mode": { "title": "Mode", "enum": [ "trending", "explore" ], "type": "string", "description": "Scraping mode: 'trending' for real-time trending searches, 'explore' for keyword search interest analysis", "default": "trending" }, "keywords": { "title": "Keywords", "type": "array", "description": "Keywords to explore in 'explore' mode. Up to 5 keywords. Ignored in 'trending' mode.", "default": [], "items": { "type": "string" } }, "geo": { "title": "Geo Location", "type": "string", "description": "Country code for geographic filtering (e.g., US, GB, DE, JP). Use '' for worldwide.", "default": "US" }, "timeRange": { "title": "Time Range", "enum": [ "1h", "4h", "1d", "7d", "30d", "90d", "12m", "5y" ], "type": "string", "description": "Time range for search interest data in 'explore' mode", "default": "7d" }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of trending topics or results to return", "default": 50 } } }, "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 } } } } } } } } } } ```