# Google Trends Daily & Real-Time Search Trends Scraper (`kravennagen/google-trends-rss-scraper`) Actor Extract real-time trending search queries, approximate traffic volume, news headlines, and direct Google links by country via official RSS feed. - **URL**: https://apify.com/kravennagen/google-trends-rss-scraper.md - **Developed by:** [Morgane Flamant](https://apify.com/kravennagen) (community) - **Categories:** SEO tools, News, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.40 / 1,000 google trends results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 Daily & Real-Time Search Trends Scraper A high-performance **Apify Actor** built in Python to extract trending search queries, search traffic estimates, related news headlines, and direct Google Search URLs via official Google Trends RSS feeds. *** ### 🌟 Key Features - **⚡ Ultra Fast (<2 Seconds)**: Hits Google Trends' official RSS feeds directly via `httpx` async requests and parses XML natively using `xml.etree.ElementTree`. Zero browser overhead (~128MB RAM footprint). - **🌍 Multi-Country Support**: Pass any list of 2-letter ISO country codes (e.g. `US`, `GB`, `FR`, `DE`, `IN`, `JP`, `BR`). - **🔥 Traffic Estimates & News Headlines**: Extract approximate search volume (e.g., `500,000+`), picture URLs, and associated news articles with source links and snippets. - **📊 Store-Ready Dataset**: Automatically pushes Pydantic-validated dataset records with built-in tabular overview support. *** ### 📥 Input Parameters The Actor accepts the following input settings in JSON format: | Parameter | Type | Default | Description | | :--- | :--- | :--- | :--- | | `geos` | `array` | `["US", "GB", "FR", "DE"]` | List of 2-letter ISO country codes to scrape trends from. | | `maxItemsPerGeo` | `integer` | `50` | Maximum number of trending queries to extract per selected country. | #### Example Input JSON ```json { "geos": ["US", "GB", "JP"], "maxItemsPerGeo": 25 } ``` *** ### 📤 Output Format Each item pushed to the output dataset follows a structured schema: ```json { "query": "Super Bowl 2026", "geo": "US", "approx_traffic": "2,000,000+", "search_url": "https://www.google.com/search?q=Super+Bowl+2026", "published_at": "Tue, 25 Aug 2026 08:00:00 +0000", "description": "Trending search query in the United States", "picture_url": "https://t0.gstatic.com/images?q=tbn:...", "articles": [ { "title": "Super Bowl 2026 updates and highlights", "url": "https://news.example.com/sports/super-bowl-2026", "source": "ESPN", "snippet": "Everything you need to know about Super Bowl 2026...", "image_url": "https://t0.gstatic.com/images?q=tbn:..." } ] } ``` *** ### 🚀 Running Locally #### Step 1: Install Dependencies ```bash pip install -r requirements.txt ``` #### Step 2: Run the Actor ```bash python -m src.main ``` *** ### 🐳 Docker Support To build and run containerized: ```bash docker build -t google-trends-scraper . docker run -it google-trends-scraper ``` # Actor input Schema ## `geos` (type: `array`): List of 2-letter ISO country codes (e.g., 'US', 'GB', 'FR', 'DE', 'IN', 'JP', 'BR'). ## `maxItemsPerGeo` (type: `integer`): Maximum number of trending queries to extract per selected country. ## Actor input object example ```json { "geos": [ "US", "GB", "FR", "DE" ], "maxItemsPerGeo": 50 } ``` # Actor output Schema ## `results` (type: `string`): Clean structured Google Trends records # 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 = { "geos": [ "US", "GB", "FR", "DE" ], "maxItemsPerGeo": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("kravennagen/google-trends-rss-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 = { "geos": [ "US", "GB", "FR", "DE", ], "maxItemsPerGeo": 50, } # Run the Actor and wait for it to finish run = client.actor("kravennagen/google-trends-rss-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "geos": [ "US", "GB", "FR", "DE" ], "maxItemsPerGeo": 50 }' | apify call kravennagen/google-trends-rss-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,kravennagen/google-trends-rss-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/SwVoDzv9Z1vugdgTE/builds/k3cX5YQtc9Nd4RKbT/openapi.json