# Google Trends Scraper (Fast & Reliable) (`emreceylan/google-trends-scraper`) Actor Google Trends API alternative — scrape interest over time, related queries (top & rising) and interest by region for any keyword, country and time range. Web, News, YouTube & Shopping. Fast, reliable, no API key. Built for SEO & market research. - **URL**: https://apify.com/emreceylan/google-trends-scraper.md - **Developed by:** [Emre Ceylan](https://apify.com/emreceylan) (community) - **Categories:** Developer tools, SEO tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 keyword scrapeds 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 A fast, reliable **Google Trends API alternative**. Get **interest over time**, **related queries (top & rising)** and **interest by region** for any keyword, country and time range — straight from Google Trends, no API key required. Perfect for **SEO keyword research**, **market research**, **content calendars**, **e-commerce demand sensing** and **trend monitoring**. ### Why this scraper? - ✅ **Reliable** — browser-grade TLS fingerprinting + automatic session rotation and exponential backoff on rate limits. It recovers instead of failing. - ⚡ **Fast** — a keyword with all widgets typically completes in a few seconds. - 🌍 **Full coverage** — worldwide or any country/region code (`US`, `DE`, `TR`, `US-CA`, ...), all official time ranges from *past hour* to *2004–present*, and every search property (Web, Images, News, YouTube, Shopping). - 📊 **Clean output** — one structured JSON item per keyword, ready for spreadsheets, dashboards or your own pipeline. ### Use cases - **SEO & content research** — catch rising queries before they peak. - **E-commerce demand sensing** — validate product demand by country before you stock or advertise. - **Market & brand monitoring** — track share of search interest across regions over time. - **Trading & trend signals** — feed normalized search-interest time series into your models. ### Input ```json { "keywords": ["air fryer", "slow cooker"], "geo": "US", "timeRange": "today 12-m", "includeRelatedQueries": true, "includeRegionData": true } ```` | Field | Description | |---|---| | `keywords` | List of search terms — one dataset item per keyword | | `geo` | Country/region code, empty = worldwide | | `timeRange` | `now 1-H` ... `today 12-m`, `today 5-y`, `all` | | `searchProperty` | Web (default), `images`, `news`, `youtube`, `froogle` | | `includeRelatedQueries` | Top & rising related queries | | `includeRegionData` | Interest by region breakdown | | `proxyConfiguration` | Residential proxy recommended for large keyword lists | ### Output example ```json { "keyword": "air fryer", "geo": "US", "timeRange": "today 3-m", "interestOverTime": [ {"time": "Jun 28 – Jul 4, 2026", "timestamp": 1782950400, "value": 62, "isPartial": true} ], "relatedQueries": { "top": [{"query": "ninja air fryer", "value": 100}], "rising": [{"query": "ninja crispi glass air fryer", "formattedValue": "+450%"}] }, "interestByRegion": [ {"region": "Wyoming", "geoCode": "US-WY", "value": 100} ] } ``` ### FAQ **Do I need a Google account or API key?** No. **Values are 0–100 — what do they mean?** Google Trends normalizes search interest to the highest point in the selected period/region, exactly like on trends.google.com. **Large keyword lists?** Enable the residential proxy option; Google rate-limits aggressively and the actor will pace itself and rotate sessions automatically. # Actor input Schema ## `keywords` (type: `array`): Search terms to fetch from Google Trends (one result item per keyword). ## `geo` (type: `string`): Two-letter country code (US, GB, DE, TR, ...) or region code like US-CA. Leave empty for worldwide. ## `timeRange` (type: `string`): Google Trends time window. ## `searchProperty` (type: `string`): Which Google property to measure. ## `category` (type: `integer`): Google Trends category ID (0 = all categories). ## `includeRelatedQueries` (type: `boolean`): Also fetch top and rising related queries for each keyword. ## `includeRegionData` (type: `boolean`): Also fetch the interest-by-region breakdown for each keyword. ## `proxyConfiguration` (type: `object`): Residential proxy is recommended for larger keyword lists — Google rate-limits datacenter IPs aggressively. ## Actor input object example ```json { "keywords": [ "chatgpt", "claude ai" ], "geo": "", "timeRange": "today 12-m", "searchProperty": "", "category": 0, "includeRelatedQueries": true, "includeRegionData": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "keywords": [ "chatgpt", "claude ai" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("emreceylan/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 = { "keywords": [ "chatgpt", "claude ai", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("emreceylan/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 '{ "keywords": [ "chatgpt", "claude ai" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call emreceylan/google-trends-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=emreceylan/google-trends-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Trends Scraper (Fast & Reliable)", "description": "Google Trends API alternative — scrape interest over time, related queries (top & rising) and interest by region for any keyword, country and time range. Web, News, YouTube & Shopping. Fast, reliable, no API key. Built for SEO & market research.", "version": "0.1", "x-build-id": "AgIdgqpHWOPMbikcc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/emreceylan~google-trends-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-emreceylan-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/emreceylan~google-trends-scraper/runs": { "post": { "operationId": "runs-sync-emreceylan-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/emreceylan~google-trends-scraper/run-sync": { "post": { "operationId": "run-sync-emreceylan-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "Search terms to fetch from Google Trends (one result item per keyword).", "items": { "type": "string" } }, "geo": { "title": "Country / region code", "type": "string", "description": "Two-letter country code (US, GB, DE, TR, ...) or region code like US-CA. Leave empty for worldwide.", "default": "" }, "timeRange": { "title": "Time range", "enum": [ "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" ], "type": "string", "description": "Google Trends time window.", "default": "today 12-m" }, "searchProperty": { "title": "Search property", "enum": [ "", "images", "news", "youtube", "froogle" ], "type": "string", "description": "Which Google property to measure.", "default": "" }, "category": { "title": "Category ID", "type": "integer", "description": "Google Trends category ID (0 = all categories).", "default": 0 }, "includeRelatedQueries": { "title": "Include related queries (top & rising)", "type": "boolean", "description": "Also fetch top and rising related queries for each keyword.", "default": true }, "includeRegionData": { "title": "Include interest by region", "type": "boolean", "description": "Also fetch the interest-by-region breakdown for each keyword.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential proxy is recommended for larger keyword lists — Google rate-limits datacenter IPs aggressively." } } }, "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 } } } } } } } } } } ```