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.

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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.

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Quick Start Guide

How to Collect Google Trending Scraper Data in 3 Steps

Step 1: Configure Your Request

Open Actor Input

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.

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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

{
  "location": "United States",
  "time_range": "Past 24 hours",
  "category": "All categories",
  "sort_by": "Relevance"
}

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Output Data Schema

Complete Google Trending Scraper Record Structure

Open Actor Output

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

{
  "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

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Integration Examples

Actor ID for Platform Integration

agentx/google-trending-scraper

Ⓜ️ Make.com Setup:

1. Login to Make.com (Get 1000 Free Credits)
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:

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

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

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

{
  "@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"
        }
      ]
    }
  ]
}

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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

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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.

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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.

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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

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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.

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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.

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Support & Community

• 👥 Community: @Apify_Actor
• 👤 Contact Team: @AiAgentApi

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Last Updated: May 12, 2026