# Google Trends Scraper - Trending Searches & Keyword Data (`logiover/google-trends-scraper`) Actor Scrape Google Trends with no API key: daily trending searches per country, interest over time, related queries & topics, interest by region. - **URL**: https://apify.com/logiover/google-trends-scraper.md - **Developed by:** [Logiover](https://apify.com/logiover) (community) - **Categories:** SEO tools, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 — Trending Searches & Keyword Data (No API Key) Google Trends has **no official API**. This actor pulls the data straight from the same public endpoints `trends.google.com` uses in your browser — **no API key, no login, no cookies.** Two modes, combine them freely: #### 1. 📈 Trending Now (per country) Today's **trending searches** for any country, each with its **approximate search volume** and the **news articles** driving it. Rock‑solid and token‑free — sweep dozens of countries in one run. #### 2. 🔑 Keyword Explore For any list of keywords, get: - **Interest Over Time** — the classic 0–100 popularity curve - **Related Queries** — top + rising searches people also run - **Related Topics** — top + rising associated topics - **Interest By Region** — the geographic heat‑map breakdown > ⚠️ Keyword mode hits Google's rate‑limited widget endpoints. **Use the RESIDENTIAL proxy option for keyword mode.** Trending Now works fine on the default datacenter proxy. ### Example inputs **Trending searches across 5 countries:** ```json { "trendingNowGeos": ["US", "GB", "DE", "IN", "BR"] } ```` **Keyword research (use residential proxy):** ```json { "keywords": ["bitcoin", "chatgpt", "recession"], "timeframe": "today 12-m", "geo": "US", "includeRelatedQueries": true, "includeInterestByRegion": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` ### Output samples **Trending Now:** ```json { "geo": "US", "rank": 1, "query": "Champions League", "approxTraffic": "500000+", "pubDate": "Sun, 20 Jul 2026 08:00:00 GMT", "newsArticles": [ { "title": "…", "url": "https://…", "source": "ESPN", "picture": "https://…" } ], "newsCount": 3, "source": "trending-now" } ``` **Interest Over Time / Related Queries:** ```json { "keyword": "bitcoin", "geo": "US", "date": "Jul 14 – 20 2026", "value": 78, "source": "interest-over-time" } { "keyword": "bitcoin", "geo": "US", "relatedQuery": "bitcoin price", "type": "top", "value": 100, "source": "related-queries" } ``` ### Use cases - **SEO & content** — find rising queries and seasonal demand before competitors. - **Market research** — compare keyword demand across time and regions. - **News & trend monitoring** — capture daily trending searches and the stories behind them. - **Finance / alt‑data** — search interest as a leading signal. ### Timeframe cheatsheet `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 an explicit `YYYY-MM-DD YYYY-MM-DD` range. ### FAQ **Do I need a Google account or API key?** No. It reads public endpoints. **Why do keyword runs sometimes return nothing?** Google rate‑limits the widget endpoints (HTTP 429) from shared datacenter IPs. Switch the proxy to **Residential** and it works reliably. Trending Now is unaffected. **How many rows can I get?** Trending Now returns ~20–25 per country — sweep many countries for volume. Keyword mode returns a full interest series (hundreds of points) plus up to ~50 related queries and ~50 related topics per keyword. **Is the trending data real‑time?** Trending Now reflects the current day; Interest Over Time respects your `timeframe`. *** *Not affiliated with Google. "Google Trends" is a trademark of Google LLC. This tool reads publicly available endpoints.* # Actor input Schema ## `keywords` (type: `array`): Keywords/terms to analyse via Google Trends 'Explore'. Returns Interest Over Time + Related Queries + Related Topics for each. Example: \['bitcoin', 'chatgpt', 'recession']. Keyword mode is rate-limited by Google — use RESIDENTIAL proxy. ## `trendingNowGeos` (type: `array`): Two-letter country codes to pull today's TRENDING SEARCHES for (with approx traffic + the news articles behind each trend). Example: \['US','GB','DE','IN','BR']. This mode is very reliable and needs no token. Leave keywords empty to use only this. ## `timeframe` (type: `string`): Time window for keyword Interest Over Time. Examples: 'now 1-d', 'now 7-d', 'today 1-m', 'today 3-m', 'today 12-m', 'today 5-y', 'all', or an explicit range '2020-01-01 2023-12-31'. ## `geo` (type: `string`): Two-letter country code for keyword mode, or empty for Worldwide. Example: 'US'. You can also target a region like 'US-CA'. ## `category` (type: `integer`): Google Trends category ID to scope keyword results (0 = All categories). E.g. 7 = Finance, 5 = Computers & Electronics. ## `includeInterestOverTime` (type: `boolean`): Include the interest-over-time series for each keyword. ## `includeRelatedQueries` (type: `boolean`): Include top + rising related search queries for each keyword. ## `includeRelatedTopics` (type: `boolean`): Include top + rising related topics for each keyword. ## `includeInterestByRegion` (type: `boolean`): Include the geographic breakdown (interest by region/subregion) for each keyword. ## `hl` (type: `string`): UI language code for labels (e.g. 'en-US', 'de-DE'). ## `maxItems` (type: `integer`): Hard cap on total rows. 0 = unlimited. ## `proxyConfiguration` (type: `object`): Proxy settings. Trending Now (RSS) works on datacenter. Keyword Explore mode is heavily rate-limited by Google — switch to RESIDENTIAL if you use keywords. ## Actor input object example ```json { "keywords": [], "trendingNowGeos": [ "US", "GB", "IN" ], "timeframe": "today 12-m", "geo": "", "category": 0, "includeInterestOverTime": true, "includeRelatedQueries": true, "includeRelatedTopics": true, "includeInterestByRegion": false, "hl": "en-US", "maxItems": 0, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): All rows extracted by this run. Open the Dataset tab to browse, filter, and export as CSV, JSON, or Excel. # 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 = { "trendingNowGeos": [ "US", "GB", "IN" ] }; // Run the Actor and wait for it to finish const run = await client.actor("logiover/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 = { "trendingNowGeos": [ "US", "GB", "IN", ] } # Run the Actor and wait for it to finish run = client.actor("logiover/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 '{ "trendingNowGeos": [ "US", "GB", "IN" ] }' | apify call logiover/google-trends-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=logiover/google-trends-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Trends Scraper - Trending Searches & Keyword Data", "description": "Scrape Google Trends with no API key: daily trending searches per country, interest over time, related queries & topics, interest by region.", "version": "0.1", "x-build-id": "bUUUqeCZjT4c8PgYD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logiover~google-trends-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logiover-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/logiover~google-trends-scraper/runs": { "post": { "operationId": "runs-sync-logiover-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/logiover~google-trends-scraper/run-sync": { "post": { "operationId": "run-sync-logiover-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": { "keywords": { "title": "Keywords", "type": "array", "description": "Keywords/terms to analyse via Google Trends 'Explore'. Returns Interest Over Time + Related Queries + Related Topics for each. Example: ['bitcoin', 'chatgpt', 'recession']. Keyword mode is rate-limited by Google — use RESIDENTIAL proxy.", "default": [], "items": { "type": "string" } }, "trendingNowGeos": { "title": "Trending Now — Countries", "type": "array", "description": "Two-letter country codes to pull today's TRENDING SEARCHES for (with approx traffic + the news articles behind each trend). Example: ['US','GB','DE','IN','BR']. This mode is very reliable and needs no token. Leave keywords empty to use only this.", "items": { "type": "string" } }, "timeframe": { "title": "Timeframe (keyword mode)", "type": "string", "description": "Time window for keyword Interest Over Time. Examples: 'now 1-d', 'now 7-d', 'today 1-m', 'today 3-m', 'today 12-m', 'today 5-y', 'all', or an explicit range '2020-01-01 2023-12-31'.", "default": "today 12-m" }, "geo": { "title": "Country (keyword mode)", "type": "string", "description": "Two-letter country code for keyword mode, or empty for Worldwide. Example: 'US'. You can also target a region like 'US-CA'.", "default": "" }, "category": { "title": "Category (keyword mode)", "type": "integer", "description": "Google Trends category ID to scope keyword results (0 = All categories). E.g. 7 = Finance, 5 = Computers & Electronics.", "default": 0 }, "includeInterestOverTime": { "title": "Interest Over Time", "type": "boolean", "description": "Include the interest-over-time series for each keyword.", "default": true }, "includeRelatedQueries": { "title": "Related Queries", "type": "boolean", "description": "Include top + rising related search queries for each keyword.", "default": true }, "includeRelatedTopics": { "title": "Related Topics", "type": "boolean", "description": "Include top + rising related topics for each keyword.", "default": true }, "includeInterestByRegion": { "title": "Interest By Region", "type": "boolean", "description": "Include the geographic breakdown (interest by region/subregion) for each keyword.", "default": false }, "hl": { "title": "Language", "type": "string", "description": "UI language code for labels (e.g. 'en-US', 'de-DE').", "default": "en-US" }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Hard cap on total rows. 0 = unlimited.", "default": 0 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings. Trending Now (RSS) works on datacenter. Keyword Explore mode is heavily rate-limited by Google — switch to RESIDENTIAL if you use keywords.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```