# Google Trends Scraper — Interest Over Time & Related (`vertaizen/google-trends-fast`) Actor Fast, reliable Google Trends scraper API. Get interest-over-time plus top & rising related queries for any keyword and geo — clean JSON, one item per keyword. Built to stay reliable where the popular official Trends actor breaks. Failed keywords are never charged. MCP-ready. - **URL**: https://apify.com/vertaizen/google-trends-fast.md - **Developed by:** [Diego Moragues](https://apify.com/vertaizen) (community) - **Categories:** SEO tools, AI, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 keywords 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 API — Fast, Reliable Interest & Related Queries A **fast, reliable Google Trends scraper API** that returns clean **interest-over-time** data and **top & rising related queries** for any keyword, in any country — via the same unofficial public Google Trends API that powers `pytrends`. Built specifically to be **reliable where the popular official Google Trends actor breaks**: the most-installed Trends actor has ~10k users but only ~3.1★ because the endpoint is semi-protected and its runs frequently return errors or empty data. This actor is engineered around that fragility — realistic browser headers, optional Apify Proxy routing, one keyword pulled at a time, and a hard rule that **you are never charged for a keyword that failed**. If you need a **Google Trends API** you can actually schedule and trust — for keyword research, market research or a data pipeline — this is built for exactly that. ### Why this actor over the official Google Trends actor? The official actor is popular but low-rated precisely because it breaks. Here's the honest comparison: | | **This Google Trends Scraper API** | The popular official Trends actor (~3.1★) | |---|---|---| | Reliability | Per-keyword isolation, consent-wall detection | Runs frequently error out or return empty | | Related queries (top + rising) | ✅ Included | Often missing or partial | | Charging for failed keywords | ❌ Never — failed keywords are free | You can pay for empty results | | Speed | Plain `fetch`, no headless browser | Heavier | | Proxy | Apify Proxy on by default | Varies | | Output shape | One clean item per keyword | Varies | - **Reliability first.** Each keyword is queried independently, so one blocked or empty keyword never poisons the rest of your run. Consent/redirect walls are detected and reported instead of silently returning garbage. - **Speed.** Plain `fetch` against Google's JSON API — no headless browser overhead. A keyword resolves in two lightweight requests. - **Related queries included.** Not just the interest curve — you also get **top** and **rising** related search queries, the part most keyword-research workflows actually need. - **Fair pricing.** Pay per keyword successfully returned. Failed keywords are written to a `FAILED` record and **never charged**. - **AI-agent ready.** Flat input, clean JSON output. Works out of the box via the Apify MCP server for LLM pipelines and agents. ### What you get for each keyword ```json { "keyword": "bitcoin", "geo": "US", "timeRange": "today 12-m", "interestOverTime": [ { "date": "2025-07-06T00:00:00.000Z", "value": 61 }, { "date": "2025-07-13T00:00:00.000Z", "value": 68 }, { "date": "2025-07-20T00:00:00.000Z", "value": 100 } ], "averageInterest": 74.3, "peakValue": 100, "peakDate": "2025-07-20T00:00:00.000Z", "relatedQueries": { "top": [ { "query": "bitcoin price", "value": 100 }, { "query": "bitcoin etf", "value": 74 } ], "rising": [ { "query": "bitcoin halving 2028", "value": 250 } ] }, "scrapedAt": "2026-07-02T12:00:00.000Z" } ```` One dataset item per keyword (interest curve + summary stats + related queries together), which is the most convenient shape for keyword research and for feeding an LLM. ### How to use it 1. **Add keywords** — one or more search terms (e.g. `bitcoin`, `ai agents`, `black friday`). 2. **(Optional) Set a geo** — a country code like `US`, `GB`, `DE`, or a sub-region like `US-CA`. Leave empty for worldwide. 3. **Pick a time range** — past day, 7 days, month, 3 months, 12 months, or 5 years. 4. **(Optional) Toggle related queries** — on by default; turn off for a faster interest-only pull. 5. **Run** — or **schedule** it (e.g. weekly) to monitor how a keyword's interest and related queries evolve over time. ### Use cases Each of these is a real search buyers make: - **"Google Trends API for keyword research"** — find rising related queries to target before they peak, and see seasonal interest for your head terms. - **"Measure demand for a product or brand over time"** — quantify interest across regions and time for market research and go-to-market timing. - **"Time content and launches to a keyword's interest curve"** — plan articles and campaigns around when demand actually rises. - **"Track a keyword's momentum week over week"** — schedule the actor and watch a term's trajectory and its emerging related queries. - **"A reliable pytrends alternative I can schedule"** — the same data source as `pytrends`, but hosted, scheduled, and with failed keywords never charged. ### Pricing **Pay per keyword.** You are charged once per keyword that returns real data (interest-over-time + related queries in a single pull). Keywords that fail — blocked, empty, or malformed — are recorded in the run's `FAILED` key-value record and are **never charged**. No subscription, no minimum. ### FAQ #### How is this different from the official Google Trends actor? Same data source, different engineering priorities. The official actor is popular but low-rated because the endpoint is semi-protected and its runs often break. This actor detects consent/redirect blocks, isolates each keyword, routes through Apify Proxy by default, and refuses to charge for keywords that returned nothing. #### Why does the official Google Trends actor fail so often? Google's Trends endpoint is semi-protected: it can serve a consent or redirect wall to the request, and a heavier headless-browser approach hits those walls and returns errors or empty data. This actor is built defensively around that — realistic headers, proxy routing, per-keyword isolation, and honest failure reporting instead of silent garbage. #### Is this a pytrends alternative? Yes. It uses the same public Google Trends JSON endpoints `pytrends` uses, but hosted on Apify — so you get scheduling, retries, proxy routing and clean JSON output without maintaining a Python script, and you're never charged for keywords that failed. #### Where does the data come from? The public, unofficial Google Trends JSON API (`/trends/api/explore` → `/widgetdata/multiline` and `/widgetdata/relatedsearches`) — the same endpoints `pytrends` uses. No login, no personal data. See [Google Trends](https://trends.google.com/trends/). #### What do the interest values mean? Google Trends normalizes search interest to a 0–100 scale within each query, where 100 is the peak for that keyword over the selected time range. `averageInterest` and `peakValue`/`peakDate` are computed from that series. #### Why do I sometimes get fewer results than keywords? A keyword can fail if Google serves a consent/redirect wall to the request IP or if the term has no meaningful search volume. Failed keywords appear in the `FAILED` record (not charged). Keeping Apify Proxy enabled (the default) improves success rates. #### Can I use a proxy? Yes — Apify Proxy is enabled by default (`useApifyProxy: true`, no named group, so it works on any account). It routes requests through Apify's IPs to reduce blocking. #### Can AI agents use this actor? Yes. The input schema is flat and agent-friendly, and every Apify actor is consumable via the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp), so agents can call it as a tool. #### Which geos and time ranges are supported? Any Trends geo code (country like `US` or sub-region like `US-CA`), and time ranges from the past day up to the past 5 years. # Actor input Schema ## `keywords` (type: `array`): Search terms to pull Google Trends data for. Each keyword is queried separately (its own comparison item) for reliability. Examples: `bitcoin`, `ai agents`, `black friday`. ## `geo` (type: `string`): Two-letter country code (e.g. `US`, `GB`, `DE`) or a Trends sub-region code (e.g. `US-CA`). Leave empty for worldwide. ## `timeRange` (type: `string`): How far back the interest-over-time series goes. ## `includeRelatedQueries` (type: `boolean`): Also fetch the top and rising related search queries for each keyword. Turn off for a faster, interest-only pull. ## `proxyConfiguration` (type: `object`): Google Trends blocks datacenter IPs. RESIDENTIAL proxy is required and set by default. A sticky session keeps the warmed consent cookie valid across requests. ## Actor input object example ```json { "keywords": [ "bitcoin", "ethereum" ], "geo": "US", "timeRange": "today 12-m", "includeRelatedQueries": true, "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": [ "bitcoin", "ethereum" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("vertaizen/google-trends-fast").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", "ethereum", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("vertaizen/google-trends-fast").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", "ethereum" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call vertaizen/google-trends-fast --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vertaizen/google-trends-fast", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Trends Scraper — Interest Over Time & Related", "description": "Fast, reliable Google Trends scraper API. Get interest-over-time plus top & rising related queries for any keyword and geo — clean JSON, one item per keyword. Built to stay reliable where the popular official Trends actor breaks. Failed keywords are never charged. MCP-ready.", "version": "1.0", "x-build-id": "7Arc2DyvC29PcD4ZL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vertaizen~google-trends-fast/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vertaizen-google-trends-fast", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/vertaizen~google-trends-fast/runs": { "post": { "operationId": "runs-sync-vertaizen-google-trends-fast", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/vertaizen~google-trends-fast/run-sync": { "post": { "operationId": "run-sync-vertaizen-google-trends-fast", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 data for. Each keyword is queried separately (its own comparison item) for reliability. Examples: `bitcoin`, `ai agents`, `black friday`.", "items": { "type": "string" } }, "geo": { "title": "Geo (country/region code)", "type": "string", "description": "Two-letter country code (e.g. `US`, `GB`, `DE`) or a Trends sub-region code (e.g. `US-CA`). Leave empty for worldwide.", "default": "" }, "timeRange": { "title": "Time range", "enum": [ "now 1-d", "now 7-d", "today 1-m", "today 3-m", "today 12-m", "today 5-y" ], "type": "string", "description": "How far back the interest-over-time series goes.", "default": "today 12-m" }, "includeRelatedQueries": { "title": "Include related queries (top & rising)", "type": "boolean", "description": "Also fetch the top and rising related search queries for each keyword. Turn off for a faster, interest-only pull.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Google Trends blocks datacenter IPs. RESIDENTIAL proxy is required and set by default. A sticky session keeps the warmed consent cookie valid across requests.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "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 } } } } } } } } } } ```