# Google Trends Scraper — Fast & Reliable (`signalbench/google-trends-scraper`) Actor Scrape Google Trends interest over time, interest by region, related queries, and related topics for any keyword. API-based (no browser), built for reliability. Export to JSON, CSV, Excel. - **URL**: https://apify.com/signalbench/google-trends-scraper.md - **Developed by:** [SignalBench](https://apify.com/signalbench) (community) - **Categories:** SEO tools, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## 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 — Fast & Reliable (No Browser) Scrape **Google Trends** data for any keyword without the official API: **interest over time**, **interest by region**, **related queries**, and **related topics**. Built API-first (no browser automation), so runs are fast, cheap, and reliable. Export results as **JSON, CSV, Excel, or XML**, or pull them straight through the Apify API into your own app, agent, or spreadsheet. > **Try it free:** Apify's free plan includes $5/month in credit — about **1,000 keywords/month** on this Actor at no cost. No waitlist, no quota approval. **No per-datapoint games, never charged for failures.** You pay a flat **$5 per 1,000 keywords** — one charge per *complete* keyword (interest over time plus any extras you select), billed only when Google actually returns data. No tricks that bill you 100× per keyword, no charges for failed or empty terms. ### Why this Google Trends scraper? - ⚡ **API-based, not browser-based** — no Puppeteer, no broken selectors, no 10× compute cost. This is why it stays fast and cheap where browser scrapers time out. - 🛡️ **Built for reliability** — residential proxy rotation, cookie warm-up, automatic session rotation on rate limits (HTTP 429/403), and exponential backoff with jitter. - 💰 **Fair, transparent pricing** — **$5 per 1,000 keywords** ($0.005 each), charged only per *successfully scraped keyword*. **Failed terms and no-data terms are never charged.** - ✅ **Honest run status** — partial failures don't silently "succeed"; every term's outcome is in the run log and status message. The run only fails if *zero* keywords succeed. ### Google Trends API alternative Google announced an official **Google Trends API** in 2025, but it's an **alpha** open only to a small group of approved testers with tight quotas. For everyone else there's still no public API. This Actor is the practical, available-today alternative — and it covers things the alpha API doesn't expose, like **related queries, related topics, and all geographies** with no waitlist and no quota. ### pytrends alternative The popular **pytrends** Python library was **archived in April 2025** and no longer maintained, so it breaks against current Google Trends endpoints. This Actor is a maintained, hosted **pytrends alternative** — call it from any language over HTTP, no library to patch, no endpoints to chase when Google changes them. ### What data can it scrape? | Data type | Description | |---|---| | **Interest over time** | Normalized search interest (0–100) timeline for any range, from the past hour to 2004–present | | **Interest by region** | Country / region / subregion / city-level breakdown | | **Related queries** | Top & rising queries with growth values and breakout flags | | **Related topics** | Top & rising topics with growth values | Supports all Google properties — **Web Search, Image Search, News, YouTube, and Shopping** — plus category filters and custom date ranges. ### Input example ```json { "searchTerms": ["claude ai", "chatgpt"], "timeRange": "today 12-m", "geo": "US", "includeInterestOverTime": true, "includeRelatedQueries": true } ```` ### Output example ```json { "searchTerm": "claude ai", "geo": "US", "timeRange": "today 12-m", "averageInterest": 62.4, "peakDate": "May 11 – 17, 2026", "interestOverTime": [ { "date": "Jun 15 – 21, 2025", "value": 38, "isPartial": false } ], "relatedQueries": { "top": [{ "label": "claude api", "value": 100 }], "rising": [{ "label": "claude cowork", "formattedValue": "+1,250%" }] }, "scrapedAt": "2026-06-12T18:00:00.000Z" } ``` Export the dataset as **CSV, Excel, JSON, or XML** from the Apify Console, or fetch it via the Apify API / SDK. ### How it works The Actor calls the same internal JSON endpoints the Google Trends website uses (`/trends/api/explore` → `/trends/api/widgetdata/*`), using browser-grade TLS fingerprints and rotating residential proxy sessions. When Google rate-limits a session, the Actor transparently warms up a fresh session and retries with backoff — you just get your data, no browser to render or break. ### Use it from n8n, Zapier, Make, MCP, and LangChain Every Apify Actor is exposed via API and through Apify's integrations, so you can run this **Google Trends scraper** on a schedule or as a step in your automation: - **n8n / Zapier / Make** — trigger a run and pipe trends data into sheets, dashboards, or alerts - **MCP / LangChain** — give an AI agent live Google Trends data as a tool - **Apify API & SDK** — call it directly from your own backend, then export CSV/JSON ### FAQ **Is there an official Google Trends API?** Google announced an alpha API in 2025, but access is limited to a small group of approved testers with tight quotas. This Actor is the practical alternative for everyone else, and it returns related queries/topics the alpha doesn't. **How much does it cost?** $0.005 per successfully scraped keyword — **$5 per 1,000 keywords**. You're never charged for failed terms or for terms Google has no data for. The free Apify plan's $5 monthly credit covers ~1,000 keywords. **Is scraping Google Trends legal?** This Actor extracts publicly available, anonymized, aggregated data. As always, consult your own counsel for your specific use case. **Why residential proxies?** Google rate-limits datacenter IPs aggressively. The default residential proxy configuration is what keeps the success rate high. Residential proxy access requires a paid Apify plan. # Actor input Schema ## `searchTerms` (type: `array`): Keywords or topics to scrape from Google Trends (one per row). ## `timeRange` (type: `string`): Time range for the trends data. ## `customTimeRange` (type: `string`): Optional custom range in Google Trends format, e.g. "2025-01-01 2025-06-01". ## `geo` (type: `string`): Two-letter country code (e.g. US, GB, DE) or region code (e.g. US-CA). Leave empty for Worldwide. ## `category` (type: `string`): Restrict trends to a Google Trends category. Defaults to all categories. ## `property` (type: `string`): Which Google property to get trends for. ## `includeInterestOverTime` (type: `boolean`): Scrape the interest-over-time timeline. ## `includeInterestByRegion` (type: `boolean`): Scrape the geographic breakdown. ## `includeRelatedQueries` (type: `boolean`): Scrape top & rising related queries. ## `includeRelatedTopics` (type: `boolean`): Scrape top & rising related topics. ## `language` (type: `string`): Interface language (hl parameter), affects labels in output. ## `maxRetriesPerTerm` (type: `integer`): How many times to retry a term with a fresh proxy session before giving up. ## `proxyConfiguration` (type: `object`): Residential proxies are strongly recommended — Google Trends rate-limits datacenter IPs aggressively. ## Actor input object example ```json { "searchTerms": [ "claude ai", "chatgpt" ], "timeRange": "today 12-m", "geo": "", "category": "0", "property": "", "includeInterestOverTime": true, "includeInterestByRegion": false, "includeRelatedQueries": false, "includeRelatedTopics": false, "language": "en-US", "maxRetriesPerTerm": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): All scraped trends items in JSON. ## `resultsCsv` (type: `string`): All scraped trends items as a CSV export. ## `viewInConsole` (type: `string`): Open the run (with its results dataset) in the Apify Console. # 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 = { "searchTerms": [ "claude ai", "chatgpt" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("signalbench/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 = { "searchTerms": [ "claude ai", "chatgpt", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("signalbench/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 '{ "searchTerms": [ "claude ai", "chatgpt" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call signalbench/google-trends-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=signalbench/google-trends-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Trends Scraper — Fast & Reliable", "description": "Scrape Google Trends interest over time, interest by region, related queries, and related topics for any keyword. API-based (no browser), built for reliability. Export to JSON, CSV, Excel.", "version": "1.0", "x-build-id": "h4Y4Crr8GuOXbUZkm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/signalbench~google-trends-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-signalbench-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/signalbench~google-trends-scraper/runs": { "post": { "operationId": "runs-sync-signalbench-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/signalbench~google-trends-scraper/run-sync": { "post": { "operationId": "run-sync-signalbench-google-trends-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchTerms" ], "properties": { "searchTerms": { "title": "Search terms", "type": "array", "description": "Keywords or topics to scrape from Google Trends (one per row).", "items": { "type": "string" } }, "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": "Time range for the trends data.", "default": "today 12-m" }, "customTimeRange": { "title": "Custom time range (overrides above)", "type": "string", "description": "Optional custom range in Google Trends format, e.g. \"2025-01-01 2025-06-01\"." }, "geo": { "title": "Geography", "type": "string", "description": "Two-letter country code (e.g. US, GB, DE) or region code (e.g. US-CA). Leave empty for Worldwide.", "default": "" }, "category": { "title": "Category", "enum": [ "0", "3", "47", "44", "22", "12", "5", "7", "71", "8", "45", "65", "11", "13", "958", "19", "16", "299", "14", "66", "29", "533", "174", "18", "20", "67" ], "type": "string", "description": "Restrict trends to a Google Trends category. Defaults to all categories.", "default": "0" }, "property": { "title": "Search property", "enum": [ "", "images", "news", "youtube", "froogle" ], "type": "string", "description": "Which Google property to get trends for.", "default": "" }, "includeInterestOverTime": { "title": "Interest over time", "type": "boolean", "description": "Scrape the interest-over-time timeline.", "default": true }, "includeInterestByRegion": { "title": "Interest by region", "type": "boolean", "description": "Scrape the geographic breakdown.", "default": false }, "includeRelatedQueries": { "title": "Related queries", "type": "boolean", "description": "Scrape top & rising related queries.", "default": false }, "includeRelatedTopics": { "title": "Related topics", "type": "boolean", "description": "Scrape top & rising related topics.", "default": false }, "language": { "title": "Language", "type": "string", "description": "Interface language (hl parameter), affects labels in output.", "default": "en-US" }, "maxRetriesPerTerm": { "title": "Max retries per term", "minimum": 0, "maximum": 10, "type": "integer", "description": "How many times to retry a term with a fresh proxy session before giving up.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential proxies are strongly recommended — Google Trends 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 } } } } } } } } } } ```