# Google Trends Scraper Lite — Daily Trending Searches (`ahampton83/google-trends-scraper-lite`) Actor Lightweight Google Trends data via the public RSS feed. Get daily trending searches, traffic estimates, and related news for any country. Use via Apify Console/API or connect as an MCP server for Claude, Cursor, and other AI agents. - **URL**: https://apify.com/ahampton83/google-trends-scraper-lite.md - **Developed by:** [Aaron Hampton](https://apify.com/ahampton83) (community) - **Categories:** SEO tools, MCP servers, News - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.001 / trending searches fetch 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 Lite — Daily Trending Searches Lightweight Google Trends data extraction using the public **Daily Search Trends RSS feed**. Get current trending searches, traffic estimates, and related news for any country. **No browser automation needed** — fast, simple HTTP requests. ### Why This Actor? The full Google Trends `/explore` API is heavily protected and requires residential proxies or browser automation. This Lite Actor uses Google's public RSS feed, which is simpler, faster, and far more reliable for "what's trending now" use cases. ### Features - **Daily Trending Searches** — Titles and traffic estimates for the current top searches - **Related News Articles** — News items attached to each trending topic - **Country Support** — US, GB, DE, JP, and any country supported by Google Trends - **MCP Server** — Connect to Claude, Cursor, or any MCP-compatible AI agent ### MCP Server Mode #### MCP Tools | Tool | Description | |------|-------------| | `get_trending_searches(geo?, maxItems?)` | Fetch daily trending searches for a country | ### Usage #### Normal Mode (Apify Console / API) ```json { "geo": "US", "maxItems": 20 } ```` #### MCP Mode (Claude / Cursor) Connect via the Actor's MCP endpoint at `/mcp`. Tools accept the same parameters as the input schema. ### Output ```json { "geo": "US", "totalResults": 20, "trendingSearches": [ { "title": "AI regulation", "approxTraffic": "100K+ searches", "pubDate": "Sat, 4 Jul 2026 12:00:00 -0700", "picture": "https://...", "pictureSource": "Example Source", "articles": [ { "title": "EU passes AI Act", "source": "TechNews", "url": "https://...", "snippet": "A new law targets high-risk AI systems." } ] } ], "fetchedAt": "2026-07-04T19:00:00.000Z" } ``` ### Pricing (Pay-Per-Event) | Event | Price | Description | |-------|-------|-------------| | Actor start | $0.00005 | Billed once per run | | Trending fetch | $0.001 | Per country feed fetched (first fetch free per run/tool call) | | MCP tool call | $0.005 | Per MCP tool invocation | **No dataset-item charges** — you only pay for fetches, not output rows. ### Technical Approach This Actor fetches `https://trends.google.com/trending/rss?geo={CC}` and parses the RSS XML into clean JSON. It uses `got-scraping` with optional Apify proxy rotation and retries for resilience. ### Development ```bash npm install # Install dependencies npm run build # Compile TypeScript npm test # Run tests npm run start:dev # Run locally (development mode) ``` ### Categories `SEO_TOOLS`, `NEWS`, `MCP_SERVERS` ### License ISC # Actor input Schema ## `geo` (type: `string`): ISO country code for the trending feed (e.g. US, GB, DE, JP). Defaults to US. ## `maxItems` (type: `integer`): Maximum number of trending searches to return. ## Actor input object example ```json { "geo": "US", "maxItems": 20 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("ahampton83/google-trends-scraper-lite").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("ahampton83/google-trends-scraper-lite").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 ahampton83/google-trends-scraper-lite --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ahampton83/google-trends-scraper-lite", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Trends Scraper Lite — Daily Trending Searches", "description": "Lightweight Google Trends data via the public RSS feed. Get daily trending searches, traffic estimates, and related news for any country. Use via Apify Console/API or connect as an MCP server for Claude, Cursor, and other AI agents.", "version": "0.1", "x-build-id": "HeVKgQXut0kImQfQH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ahampton83~google-trends-scraper-lite/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ahampton83-google-trends-scraper-lite", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ahampton83~google-trends-scraper-lite/runs": { "post": { "operationId": "runs-sync-ahampton83-google-trends-scraper-lite", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ahampton83~google-trends-scraper-lite/run-sync": { "post": { "operationId": "run-sync-ahampton83-google-trends-scraper-lite", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "geo": { "title": "Geographic location", "type": "string", "description": "ISO country code for the trending feed (e.g. US, GB, DE, JP). Defaults to US.", "default": "US" }, "maxItems": { "title": "Max trending items", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of trending searches to return.", "default": 20 } } }, "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 } } } } } } } } } } ```