# Google Trending Scraper (`agentx/google-trending-scraper`) Actor Collects Google Trends Trending Now rows by country, time window, category, and sort order. Returns search volume, growth, status, related queries, and trend metadata from the current /trending page. - **URL**: https://apify.com/agentx/google-trending-scraper.md - **Developed by:** [AgentX](https://apify.com/agentx) (community) - **Categories:** News, AI, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.23 / result 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 Trending Scraper - Google Trends Trending Now API **Google Trending Scraper is a Google Trends Trending Now API that collects country-level real-time search trends from the Google Trends Trending Now interface for any supported market.** It returns one structured dataset item per run with the selected location, time window, category, sort order, source URL, row counts, and a `trends` array containing search volume, growth percentage, start time, active or ended status, category labels, related queries, and Google Trends Explore links for each trend. [![Google Trends](https://img.shields.io/badge/Google_Trends-4285f4?style=for-the-badge&color=4285f4)](https://apify.com/agentx/google-trending-scraper?fpr=aiagentapi) [![Trending Now](https://img.shields.io/badge/Trending_Now-34a853?style=for-the-badge&color=34a853)](https://apify.com/agentx/google-trending-scraper?fpr=aiagentapi) [![Geo Trends](https://img.shields.io/badge/Geo_Trends-fbbc05?style=for-the-badge&color=fbbc05)](https://apify.com/agentx/google-trending-scraper?fpr=aiagentapi) --- ### Why Choose This API #### Google Trends Trending Now Data by Country **🔴 Current Trending Now Source** Collect rows from the current Google Trends `/trending` page instead of the older keyword Explore widgets. The actor targets the modern Trending Now interface for the selected country, matching the visible filters exactly. **🌍 Country and Time Filters** Select a country and choose whether trends started in the past 4 hours, 24 hours, 48 hours, or 7 days. The actor preserves the matching Trending Now URL so analysts can audit the same page view. **🗂️ Category and Sort Controls** Filter by Trending Now categories such as Entertainment, Sports, Business and Finance, Politics, Technology, Shopping, or keep all categories. Sort locally by relevance, search volume, recency, or title to match the page workflow. **📊 Trend-Level Output** Each trend row includes rank, trend text, primary query, search volume, formatted volume, growth percentage, start and end timestamps, status, categories, related queries, article count, and Explore URL. --- ### Quick Start Guide #### How to Collect Google Trending Scraper Data in 3 Steps ##### Step 1: Configure Your Request [Open Actor Input](https://console.apify.com/actors/agentx~google-trending-scraper/input?fpr=aiagentapi) ##### Step 2: Run the Actor Select `location`, `time_range`, `category`, and `sort_by`. Use the default United States, Past 24 hours, All categories, and Relevance configuration to reproduce `https://trends.google.com/trending?geo=US&hl=en-US`, then click **Start**. ##### Step 3: Access Your Data Download JSON or CSV from the Apify dataset, or call the dataset API. Each run returns one record with a `trends` array that can be flattened in BI tools, spreadsheets, or AI workflows. --- ### Input Parameters #### Configuration Fields | Parameter | Type | Required | Description | Example Values | | ------------ | ------ | -------- | --------------------------------- | -------------------------------------------------------- | | `location` | select | Yes | Country-level Trending Now market | `"United States"`, `"United Kingdom"`, `"Canada"` | | `time_range` | select | Yes | Started-trending time window | `"Past 24 hours"`, `"Past 48 hours"`, `"Past 7 days"` | | `category` | select | Yes | Trending Now category filter | `"All categories"`, `"Entertainment"`, `"Sports"` | | `sort_by` | select | Yes | Returned row sort order | `"Relevance"`, `"Search volume"`, `"Recency"`, `"Title"` | #### Example Input Configuration ```json { "location": "United States", "time_range": "Past 24 hours", "category": "All categories", "sort_by": "Relevance" } ```` *** ### Output Data Schema #### Complete Google Trending Scraper Record Structure [Open Actor Output](https://console.apify.com/actors/agentx~google-trending-scraper/output?fpr=aiagentapi) Each run pushes one dataset item for the selected Trending Now page view. The item contains readable filter labels, the exact Google Trends Trending Now URL, counts, and a trend array designed for downstream enrichment. #### Core Fields | Field | Type | Description | | -------------- | ------ | ----------------------------------------------------------------------- | | `processor` | string | Apify actor URL that processed this record | | `processed_at` | string | ISO timestamp when the record was created | | `location` | string | Human-readable location label | | `time_range` | string | Human-readable Trending Now time window | | `category` | string | Human-readable Trending Now category | | `sort_by` | string | Human-readable sort order | | `trends_url` | string | Google Trends Trending Now URL for the filters | | `data_counts` | object | Counts for trends, active rows, ended rows, and related queries | | `trends` | array | Trend rows with volume, growth, status, categories, and related queries | #### Example JSON Output ```json { "processor": "https://apify.com/agentx/google-trending-scraper?fpr=aiagentapi", "processed_at": "2026-05-12T10:30:00.000Z", "location": "United States", "time_range": "Past 24 hours", "category": "All categories", "sort_by": "Relevance", "trends_url": "https://trends.google.com/trending?geo=US&hl=en-US", "data_counts": { "trends": 506, "active_trends": 120, "ended_trends": 386, "related_queries": 4200 }, "trends": [ { "rank": 1, "trend": "lakers", "primary_query": "lakers", "search_volume": 500000, "formatted_search_volume": "500K+", "growth_percentage": 1000, "formatted_growth": "1,000%", "started_at": "2026-05-12T03:30:00+00:00", "started_timestamp": 1778556600, "ended_at": null, "ended_timestamp": null, "status": "Active", "duration_seconds": null, "duration": null, "category_ids": [17], "categories": ["Sports"], "related_queries": ["lakers", "lakers vs okc"], "article_count": 63, "explore_url": "https://trends.google.com/trends/explore?geo=US&hl=en-US&date=now+1-d&q=lakers" } ] } ``` #### Export Formats - **JSON** - Complete structured data with all trend fields - **CSV** - Spreadsheet-compatible format - **API Access** - Programmatic access via Apify Client SDK - **Cloud Storage** - Automatic upload to Apify Dataset and Key-Value Store *** ### Integration Examples #### Actor ID for Platform Integration ```text agentx/google-trending-scraper ``` #### Ⓜ️ [Make.com Setup:](https://www.make.com/en/register?pc=marketingme) 1. Login to **[Make.com (Get 1000 Free Credits)](https://www.make.com/en/register?pc=marketingme)** 2. Add module **"Run an Actor"** 3. Turn **'Map'** on - right side of the 'Actor\*' 4. Paste **Actor ID** - from above 5. Click the **'⟳ Refresh'** - left side of Map 6. **Input JSON\*** - Modify the parameters as needed 7. Set **"Run synchronously"** to **YES** 8. Add module **"Get Dataset Items"** - receive the result 9. In **Dataset ID\*** select **defaultDatasetId** #### 🎱 [N8N.io Setup:](https://n8n.io/) 1. Add **'Run an Actor and get dataset'** - from the apify node 2. **Actor** → **By ID** → **Paste Actor ID** - from above 3. **Input JSON** - Modify the parameters as needed #### Python Integration Example ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run_input = { "location": "United States", "time_range": "Past 24 hours", "category": "All categories", "sort_by": "Relevance", } run = client.actor("agentx/google-trending-scraper").call(run_input=run_input) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["location"], item["data_counts"]["trends"]) ``` #### JavaScript/Node.js Integration ```javascript import { ApifyClient } from "apify-client"; const client = new ApifyClient({ token: "YOUR_API_TOKEN" }); const input = { location: "United States", time_range: "Past 7 days", category: "Entertainment", sort_by: "Title", }; const run = await client.actor("agentx/google-trending-scraper").call(input); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items[0].trends.slice(0, 5).forEach((trend) => { console.log(trend.rank, trend.trend, trend.formatted_search_volume); }); ``` #### JSON-LD Metadata ```json { "@context": "https://schema.org", "@graph": [ { "@type": "SoftwareApplication", "@id": "https://apify.com/agentx/google-trending-scraper?fpr=aiagentapi#software", "name": "Google Trending Scraper", "description": "Google Trending Scraper collects Google Trends Trending Now rows by country, started-trending time window, category, and sort order for real-time search intelligence.", "applicationCategory": "BusinessApplication", "applicationSubCategory": "Trend Intelligence API", "operatingSystem": "Web, Cloud", "url": "https://apify.com/agentx/google-trending-scraper?fpr=aiagentapi", "softwareVersion": "1.0.0", "datePublished": "2026-05-12", "dateModified": "2026-05-12", "featureList": [ "Google Trends Trending Now rows by country", "Past 4 hours, 24 hours, 48 hours, and 7 days time windows", "Trending Now category filtering: Entertainment, Sports, Business, Technology, and more", "Search volume, growth percentage, status, and related queries per trend", "Pay-per-result pricing with no monthly minimum" ], "offers": { "@type": "Offer", "price": "0.23", "priceCurrency": "USD", "priceSpecification": { "@type": "UnitPriceSpecification", "price": "0.23", "priceCurrency": "USD", "referenceQuantity": { "@type": "QuantitativeValue", "value": "1", "unitText": "trend result" } }, "availability": "https://schema.org/InStock" }, "author": { "@id": "https://apify.com/agentx#person" }, "publisher": { "@id": "https://apify.com#organization" } }, { "@type": "Person", "@id": "https://apify.com/agentx#person", "name": "AgentX", "url": "https://apify.com/agentx", "sameAs": [ "https://apify.com/agentx", "https://t.me/AiAgentApi", "https://t.me/Apify_Actor" ], "knowsAbout": [ "web scraping", "trend intelligence", "Google Trends", "search demand analytics", "real-time data" ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "How do I collect Google Trends Trending Now data?", "acceptedAnswer": { "@type": "Answer", "text": "Choose location, time_range, category, and sort_by, then run the actor. The default input mirrors https://trends.google.com/trending?geo=US&hl=en-US and returns all trending rows for the selected filters." } }, { "@type": "Question", "name": "What is included in the Google Trending Scraper output?", "acceptedAnswer": { "@type": "Answer", "text": "The output includes the selected filters, the matching Trending Now URL, row counts, and a trends array with search volume, growth, timing, status, categories, related queries, article count, and Explore URL." } }, { "@type": "Question", "name": "Can I filter by the All trends status menu?", "acceptedAnswer": { "@type": "Answer", "text": "No. The actor keeps the page status menu fixed to all trends and exposes the other visible controls: location, time range, category, and sort order." } }, { "@type": "Question", "name": "Why does Google Trending Scraper use the /trending page instead of Explore?", "acceptedAnswer": { "@type": "Answer", "text": "Google's modern Trending Now experience is served from /trending, while the older Explore API is keyword-based. This actor targets the current Trending Now table rather than keyword interest widgets." } }, { "@type": "Question", "name": "How do I export Google Trending Scraper data to CSV?", "acceptedAnswer": { "@type": "Answer", "text": "Open the Apify dataset after the run and choose CSV export, or use the Apify dataset API. The trends array can be flattened in your spreadsheet, warehouse, or workflow tool." } }, { "@type": "Question", "name": "How much does Google Trending Scraper cost?", "acceptedAnswer": { "@type": "Answer", "text": "Pay-per-result: $0.23 per collected Trending Now run. 100 runs cost approximately $23.00. There is no monthly minimum or seat fee." } } ] }, { "@type": "HowTo", "name": "How to collect Google Trends Trending Now data with Google Trending Scraper", "step": [ { "@type": "HowToStep", "position": 1, "name": "Configure Your Request", "text": "Open the Actor input page and select location, time_range, category, and sort_by filters that match the Trending Now page view you want to capture." }, { "@type": "HowToStep", "position": 2, "name": "Run the Actor", "text": "Click Start. Google Trending Scraper collects all Trending Now rows for the selected filters and returns one structured dataset item." }, { "@type": "HowToStep", "position": 3, "name": "Access Your Data", "text": "Export the dataset as JSON or CSV, or stream items via the Apify REST API. The trends array contains all rows with volume, growth, status, and related queries." } ] }, { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Apify", "item": "https://apify.com" }, { "@type": "ListItem", "position": 2, "name": "AgentX", "item": "https://apify.com/agentx" }, { "@type": "ListItem", "position": 3, "name": "Google Trending Scraper", "item": "https://apify.com/agentx/google-trending-scraper" } ] } ] } ``` *** ### Pricing & Cost Calculator #### Pay-Per-Event Pricing | Event | Description | Price | | ---------------- | ---------------------------------------------------------------------------------- | ----- | | **Actor Start** | Charged when the Actor starts running (one event per GB memory, minimum one event) | $0.02 | | **Trend Result** | One charged Google Trending Now result | $0.23 | #### Cost Estimation Examples | Trend Runs | Estimated Result Cost | | ---------- | --------------------- | | 10 runs | ~$2.30 | | 100 runs | ~$23.00 | | 1,000 runs | ~$230.00 | | 5,000 runs | ~$1,150.00 | #### Competitive Pricing Comparison | Feature | Google Trending Scraper | SerpAPI | ValueSERP | Custom Build | | --------------------- | ----------------------- | ------- | --------- | ------------ | | **Trending Now Data** | **Yes** ⭐ | Partial | No | Complex | | **Country Filter** | **Yes** ⭐ | Yes | No | Varies | | **Category Filter** | **Yes** ⭐ | No | No | Varies | | **Related Queries** | **Yes** ⭐ | Limited | No | Varies | | **Pay-Per-Result** | **Yes** ⭐ | Monthly | Monthly | None | | **Structured JSON** | **Enterprise** ⭐ | Basic | No | None | *** ### Use Cases & Applications #### Real-Time Search Monitoring **Trending Now Demand Detection** Track the current Trending Now table for a country and quickly identify spikes in public search demand, active topics, and recently ended trends. #### Editorial and News Planning **Breaking Story Prioritization** Use trend titles, growth percentages, related queries, and start times to prioritize story ideas, live coverage, explainers, and social posts. #### SEO and Content Operations **Keyword Cluster Discovery** Export category-filtered trends to build content briefs, discover fresh query clusters, monitor seasonal surges, and enrich keyword research with current demand signals. #### Market and Brand Intelligence **Category-Level Audience Insights** Compare categories such as Sports, Entertainment, Technology, Business and Finance, and Politics across countries to understand what audiences are actively searching for. *** ### FAQ #### How do I collect Google Trends Trending Now data? Choose `location`, `time_range`, `category`, and `sort_by`, then run the actor. The default input mirrors `https://trends.google.com/trending?geo=US&hl=en-US`. #### What is included in the Google Trending Scraper output? The output includes the selected filters, the matching Trending Now URL, row counts, and a `trends` array with search volume, growth, timing, status, categories, related queries, article count, and Explore URL. #### Can I filter by the All trends status menu? No. The actor keeps the page's status menu fixed to all trends, as requested, and exposes the other visible controls: location, time range, category, and sort order. #### Why does Google Trending Scraper use the `/trending` page instead of Explore? Google's modern Trending Now experience is served from `/trending`, while the older Explore API is keyword-based. This actor targets the current Trending Now table rather than keyword interest widgets. #### How do I export Google Trending Scraper data to CSV? Open the Apify dataset after the run and choose CSV export, or use the Apify dataset API. The `trends` array can be flattened in your spreadsheet, warehouse, or workflow tool. *** ### SEO Keywords & Search Terms #### Primary Keywords Google Trends Trending Now API, Google Trending Scraper API, Google Trends trending scraper, Google Trends real-time trends, Trending Now search volume API, Google Trends country trends #### Long-Tail Keywords how to export Google Trends Trending Now data, collect Google Trends by country, Google Trends past 24 hours trending API, Google Trends category trending rows, Google Trends related queries from Trending Now #### Industry Terms real-time search intelligence, trend monitoring, editorial analytics, SEO trend discovery, demand spike detection, related query clustering, category trend analysis #### Use Case Keywords news trend monitoring API, real-time SEO topics, social content trend finder, country search trends API, trending query export, Google Trends active topics *** ### Trust & Certifications - ✅ **Production-Grade Infrastructure** — Runs on Apify cloud infrastructure with managed execution, storage, and retry support. - ✅ **Transparent Dataset Output** — Returns parsed Trending Now rows and row counts for the selected page view. - ✅ **Pay-Per-Result Billing** — Charges one collected Trending Now result per run. - ✅ **Maintained Actor Contract** — Input, output, and pricing fields are documented for repeatable workflow integration. *** ### Legal & Compliance #### Data Rights & Usage Google Trending Scraper collects publicly accessible aggregated trend and search-interest data made available through Google Trends interfaces. Users are responsible for ensuring their use of exported data complies with applicable laws, contractual obligations, and internal data governance policies. #### Privacy Compliance The actor does not collect private account data, personal profiles, or private user records. Dataset items contain aggregated trend titles, search-volume buckets, related queries, and collection metadata. Users with GDPR or CCPA obligations should review how they combine this dataset with other data sources. #### Platform Terms of Service Users must review and comply with Google terms, Apify platform terms, and any downstream platform requirements before using collected data in production systems. #### Enterprise Support For enterprise licensing, private deployments, compliance review, or custom integrations, contact [@AiAgentApi](https://t.me/AiAgentApi). *** ### Related Tools #### Jobs & Hiring - **[All Jobs Scraper](https://apify.com/agentx/all-jobs-scraper?fpr=aiagentapi)** - Multi-Platform Job Listings Intelligence API - **[Glassdoor Hiring Scraper](https://apify.com/agentx/glassdoor-hiring-scraper?fpr=aiagentapi)** - Glassdoor Job Listings Intelligence API - **[Glints Employer Data Extractor](https://apify.com/agentx/glints-employer-data-extractor?fpr=aiagentapi)** - Glints Employer Intelligence API - **[Glints Jobs Data Extractor](https://apify.com/agentx/glints-jobs-data-extractor?fpr=aiagentapi)** - 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BBB Reputation Intelligence API - **[Global Weather Scraper](https://apify.com/agentx/global-weather-scraper?fpr=aiagentapi)** - Global Weather Intelligence API - **[Google Trending Scraper](https://apify.com/agentx/google-trending-scraper?fpr=aiagentapi)** - Google Trends Trending Now Intelligence API - **[Google Maps Store Scraper](https://apify.com/agentx/google-maps-store-scraper?fpr=aiagentapi)** - Google Maps Business Intelligence API - **[Google Keyword Trends](https://apify.com/agentx/google-keyword-trends?fpr=aiagentapi)** - Google Trends Keyword Intelligence API - **[Reclame Aqui Company Data Extractor](https://apify.com/agentx/reclame-aqui-company-data-extractor?fpr=aiagentapi)** - Reclame Aqui Company Intelligence API - **[TradeIndia Product Data Extractor](https://apify.com/agentx/tradeindia-product-data-extractor?fpr=aiagentapi)** - TradeIndia Product Intelligence API - **[TradeIndia Supplier Leads API](https://apify.com/agentx/tradeindia-supplier-leads-api?fpr=aiagentapi)** - TradeIndia Supplier Lead Intelligence API - **[Zomato Menu Data Extractor](https://apify.com/agentx/zomato-menu-data-extractor?fpr=aiagentapi)** - Zomato Restaurant Menu Intelligence API - **[Zomato Restaurant Data Extractor](https://apify.com/agentx/zomato-restaurant-data-extractor?fpr=aiagentapi)** - Zomato Restaurant Search Intelligence API *** ### Support & Community - **👥 Community**: [@Apify\_Actor](https://t.me/Apify_Actor) - **👤 Contact Team**: [@AiAgentApi](https://t.me/AiAgentApi) *** **Last Updated:** May 12, 2026 # Actor input Schema ## `location` (type: `string`): Country-level Google Trends Trending Now location. ## `time_range` (type: `string`): Trending Now started-trending period from the current Google Trends page. ## `category` (type: `string`): Trending Now category filter from the current Google Trends page. ## `sort_by` (type: `string`): Sort order for the returned Google Trends Trending Now rows. ## Actor input object example ```json { "location": "United States", "time_range": "Past 24 hours", "category": "All categories", "sort_by": "Search volume" } ``` # Actor output Schema ## `results` (type: `string`): Google Trending Scraper records collected during the run. # 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 = { "location": "United States", "time_range": "Past 24 hours", "category": "All categories", "sort_by": "Relevance" }; // Run the Actor and wait for it to finish const run = await client.actor("agentx/google-trending-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 = { "location": "United States", "time_range": "Past 24 hours", "category": "All categories", "sort_by": "Relevance", } # Run the Actor and wait for it to finish run = client.actor("agentx/google-trending-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 '{ "location": "United States", "time_range": "Past 24 hours", "category": "All categories", "sort_by": "Relevance" }' | apify call agentx/google-trending-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentx/google-trending-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Trending Scraper", "description": "Collects Google Trends Trending Now rows by country, time window, category, and sort order. Returns search volume, growth, status, related queries, and trend metadata from the current /trending page.", "version": "1.0", "x-build-id": "CdsR4WwgBup1M9Oou" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentx~google-trending-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentx-google-trending-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentx~google-trending-scraper/runs": { "post": { "operationId": "runs-sync-agentx-google-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentx~google-trending-scraper/run-sync": { "post": { "operationId": "run-sync-agentx-google-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "location", "time_range", "category", "sort_by" ], "properties": { "location": { "title": "🌍 Location", "enum": [ "Afghanistan", "Åland Islands", "Albania", "Algeria", "American Samoa", "Andorra", "Angola", "Anguilla", "Antarctica", "Antigua & Barbuda", "Argentina", "Armenia", "Aruba", "Australia", "Austria", "Azerbaijan", "Bahamas", "Bahrain", "Bangladesh", "Barbados", "Belarus", "Belgium", "Belize", "Benin", "Bermuda", "Bhutan", "Bolivia", "Bosnia & Herzegovina", "Botswana", "Bouvet Island", "Brazil", "British Indian Ocean Territory", "British Virgin Islands", "Brunei", "Bulgaria", "Burkina Faso", "Burundi", "Cambodia", "Cameroon", "Canada", "Cape Verde", "Caribbean Netherlands", "Cayman Islands", "Central African Republic", "Chad", "Chile", "China", "Christmas Island", "Cocos (Keeling) Islands", "Colombia", "Comoros", "Congo - Brazzaville", "Congo - Kinshasa", "Cook Islands", "Costa Rica", "Côte d’Ivoire", "Croatia", "Cuba", "Curaçao", "Cyprus", "Czechia", "Denmark", "Djibouti", "Dominica", "Dominican Republic", "Ecuador", "Egypt", "El Salvador", "Equatorial Guinea", "Eritrea", "Estonia", "Eswatini", "Ethiopia", "Falkland Islands (Islas Malvinas)", "Faroe Islands", "Fiji", "Finland", "France", "French Guiana", "French Polynesia", "French Southern Territories", "Gabon", "Gambia", "Georgia", "Germany", "Ghana", "Gibraltar", "Greece", "Greenland", "Grenada", "Guadeloupe", "Guam", "Guatemala", "Guernsey", "Guinea", "Guinea-Bissau", "Guyana", "Haiti", "Heard & McDonald Islands", "Honduras", "Hong Kong", "Hungary", "Iceland", "India", "Indonesia", "Iran", "Iraq", "Ireland", "Isle of Man", "Israel", "Italy", "Jamaica", "Japan", "Jersey", "Jordan", "Kazakhstan", "Kenya", "Kiribati", "Kosovo", "Kuwait", "Kyrgyzstan", "Laos", "Latvia", "Lebanon", "Lesotho", "Liberia", "Libya", "Liechtenstein", "Lithuania", "Luxembourg", "Macao", "Madagascar", "Malawi", "Malaysia", "Maldives", "Mali", "Malta", "Marshall Islands", "Martinique", "Mauritania", "Mauritius", "Mayotte", "Mexico", "Micronesia", "Moldova", "Monaco", "Mongolia", "Montenegro", "Montserrat", "Morocco", "Mozambique", "Myanmar (Burma)", "Namibia", "Nauru", "Nepal", "Netherlands", "New Caledonia", "New Zealand", "Nicaragua", "Niger", "Nigeria", "Niue", "Norfolk Island", "North Korea", "North Macedonia", "Northern Mariana Islands", "Norway", "Oman", "Pakistan", "Palau", "Palestine", "Panama", "Papua New Guinea", "Paraguay", "Peru", "Philippines", "Pitcairn Islands", "Poland", "Portugal", "Puerto Rico", "Qatar", "Réunion", "Romania", "Russia", "Rwanda", "Samoa", "San Marino", "São Tomé & Príncipe", "Saudi Arabia", "Senegal", "Serbia", "Seychelles", "Sierra Leone", "Singapore", "Sint Maarten", "Slovakia", "Slovenia", "Solomon Islands", "Somalia", "South Africa", "South Georgia & South Sandwich Islands", "South Korea", "South Sudan", "Spain", "Sri Lanka", "St. Barthélemy", "St. Helena", "St. Kitts & Nevis", "St. Lucia", "St. Martin", "St. Pierre & Miquelon", "St. Vincent & Grenadines", "Sudan", "Suriname", "Svalbard & Jan Mayen", "Sweden", "Switzerland", "Syria", "Taiwan", "Tajikistan", "Tanzania", "Thailand", "Timor-Leste", "Togo", "Tokelau", "Tonga", "Trinidad & Tobago", "Tunisia", "Türkiye", "Turkmenistan", "Turks & Caicos Islands", "Tuvalu", "U.S. Outlying Islands", "U.S. Virgin Islands", "Uganda", "Ukraine", "United Arab Emirates", "United Kingdom", "United States", "Uruguay", "Uzbekistan", "Vanuatu", "Vatican City", "Venezuela", "Vietnam", "Wallis & Futuna", "Western Sahara", "Yemen", "Zambia", "Zimbabwe" ], "type": "string", "description": "Country-level Google Trends Trending Now location." }, "time_range": { "title": "📅 Time Range", "enum": [ "Past 4 hours", "Past 24 hours", "Past 48 hours", "Past 7 days" ], "type": "string", "description": "Trending Now started-trending period from the current Google Trends page." }, "category": { "title": "🏷 Category", "enum": [ "All categories", "Autos and Vehicles", "Beauty and Fashion", "Business and Finance", "Entertainment", "Food and Drink", "Games", "Health", "Hobbies and Leisure", "Jobs and Education", "Law and Government", "Other", "Pets and Animals", "Politics", "Science", "Shopping", "Sports", "Technology", "Travel and Transportation", "Climate" ], "type": "string", "description": "Trending Now category filter from the current Google Trends page." }, "sort_by": { "title": "↕️ Sort By", "enum": [ "Relevance", "Search volume", "Recency", "Title" ], "type": "string", "description": "Sort order for the returned Google Trends Trending Now rows." } } }, "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 } } } } } } } } } } ```