# Google Trends Scraper (`riveting_pastime/proto-google-trends`) Actor A reliable pytrends alternative: scrape Google Trends without login. Get interest-over-time and top/rising related queries as clean JSON, by country and time range. Paced + residential proxy so it won't 429 like pytrends. For SEO, market research, and Python data pipelines. - **URL**: https://apify.com/riveting\_pastime/proto-google-trends.md - **Developed by:** [Koen Christiaens](https://apify.com/riveting_pastime) (community) - **Categories:** SEO tools, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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. 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 Pull **Google Trends** data — interest-over-time and rising/top related queries — for any list of keywords, as clean structured JSON. No login, no browser, no Google account. Runs over residential proxy so it works at scale. ### What it does Give it keywords; it returns, per keyword: - **Interest over time** — the 0–100 relative search-interest series (weekly points for the selected range), with human-readable dates. - **Related queries** — the top and rising searches associated with each keyword, with their relative values and direct Trends links (great for SEO, market research, trend spotting). Data is public, aggregate, non-personal search-interest data straight from Google Trends' own endpoints. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `keywords` | string[] | `["bitcoin","ozempic","labubu"]` | Search terms to pull. | | `geo` | string | `"US"` | Two-letter country code, or empty for worldwide. | | `time` | string | `"today 12-m"` | Trends range token: `today 12-m`, `today 3-m`, `now 7-d`, etc. | | `proxyGroup` | string | `"RESIDENTIAL"` | Apify proxy group. Residential recommended. | #### Example ```json { "keywords": ["electric vehicles", "solid state battery"], "geo": "US", "time": "today 12-m", "proxyGroup": "RESIDENTIAL" } ```` ### Output Each dataset item is one data point: ```json { "keyword": "bitcoin", "kind": "interest_over_time", "time": "1752969600", "formattedTime": "Jul 20 – 26, 2025", "value": 45, "geo": "US", "timeRange": "today 12-m" } { "keyword": "ozempic", "kind": "related_query", "query": "ozempic price", "value": 200, "formattedValue": "+200%", "link": "/trends/explore?q=ozempic+price...", "geo": "US" } ``` The run also stores a `RUN_STATS` record in the key-value store with per-keyword coverage, schema-valid counts, and any rate-limit blocks encountered — full transparency, no silent drops. ### Notes on reliability Google rate-limits its Trends endpoints per IP. This actor paces requests, backs off exponentially on `429`, and rotates residential proxy sessions to stay within limits. **Up to 10 keywords per run** — soak-tested for ~100% coverage on both widgets at that size. The actor rejects larger batches rather than return partial data, so every run that starts gives you complete results. Running more? Split into batches of 10; each run is independent and cheap. (Interest-over-time is the most robust signal; related-queries is the first to be throttled once Google's per-IP limit is hit, which is exactly why the cap exists.) ### Use cases - SEO & content research (rising related queries) - Market / demand research and trend monitoring - Feeding dashboards or models with search-interest signals # Actor input Schema ## `keywords` (type: `array`): Search terms to pull Google Trends interest-over-time and related queries for. Max 10 per run (Google rate-limits per IP; larger batches lose coverage). Split bigger jobs across runs. ## `geo` (type: `string`): Two-letter country code, or empty for worldwide. ## `time` (type: `string`): Google Trends time range token (e.g. 'today 12-m', 'today 3-m', 'now 7-d'). ## `proxyGroup` (type: `string`): Apify Proxy group used for requests. ## Actor input object example ```json { "keywords": [ "bitcoin", "ozempic", "labubu" ], "geo": "US", "time": "today 12-m", "proxyGroup": "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": [ "bitcoin", "ozempic", "labubu" ] }; // Run the Actor and wait for it to finish const run = await client.actor("riveting_pastime/proto-google-trends").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": [ "bitcoin", "ozempic", "labubu", ] } # Run the Actor and wait for it to finish run = client.actor("riveting_pastime/proto-google-trends").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": [ "bitcoin", "ozempic", "labubu" ] }' | apify call riveting_pastime/proto-google-trends --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=riveting_pastime/proto-google-trends", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Trends Scraper", "description": "A reliable pytrends alternative: scrape Google Trends without login. Get interest-over-time and top/rising related queries as clean JSON, by country and time range. Paced + residential proxy so it won't 429 like pytrends. For SEO, market research, and Python data pipelines.", "version": "0.0", "x-build-id": "WUip633RUolOaispJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/riveting_pastime~proto-google-trends/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-riveting_pastime-proto-google-trends", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/riveting_pastime~proto-google-trends/runs": { "post": { "operationId": "runs-sync-riveting_pastime-proto-google-trends", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/riveting_pastime~proto-google-trends/run-sync": { "post": { "operationId": "run-sync-riveting_pastime-proto-google-trends", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 pull Google Trends interest-over-time and related queries for. Max 10 per run (Google rate-limits per IP; larger batches lose coverage). Split bigger jobs across runs.", "items": { "type": "string" }, "default": [ "bitcoin", "ozempic", "labubu" ] }, "geo": { "title": "Geo", "type": "string", "description": "Two-letter country code, or empty for worldwide.", "default": "US" }, "time": { "title": "Time range", "type": "string", "description": "Google Trends time range token (e.g. 'today 12-m', 'today 3-m', 'now 7-d').", "default": "today 12-m" }, "proxyGroup": { "title": "Proxy group", "type": "string", "description": "Apify Proxy group used for requests.", "default": "RESIDENTIAL" } } }, "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 } } } } } } } } } } ```