Google Trends Scraper

by agenscrape

Extract Google Trends data: related searches (top & rising), geographic interest by region, and interest over time. Supports multiple keywords, custom...

45 runs
10 users
Try This Actor

Opens on Apify.com

About Google Trends Scraper

Extract Google Trends data: related searches (top & rising), geographic interest by region, and interest over time. Supports multiple keywords, custom time ranges, geo filtering, and categories. Fast, no browser needed.

What does this actor do?

Google Trends Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Google Trends Scraper Unlock powerful insights from Google Trends. Extract trending searches, discover what's popular in any region, and track how interest evolves over time for any keyword or topic. ## What You Get ### Related Searches Discover what people are searching for alongside your keyword: - Top Queries: The most popular related searches with relative popularity scores - Rising Queries: Breakout searches showing explosive growth (e.g., +450%, "Breakout") ### Geographic Interest See where your keyword is most popular: - Country-by-country breakdown with interest scores (0-100) - Region/state level data when searching within a country - Identify your strongest markets or untapped opportunities ### Interest Over Time Track how interest changes: - Hourly data for recent trends - Daily/weekly data for longer timeframes - Historical data going back to 2004 ## Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | keywords | Array | List of keywords/topics to analyze | | geo | String | Two-letter country code (e.g., "US", "GB") - leave empty for worldwide | | timeRange | String | Time period to analyze | | category | Integer | Google Trends category ID (0 = all categories) | | includeRelatedSearches | Boolean | Get related search queries | | includeGeoData | Boolean | Get geographic interest breakdown | | includeInterestOverTime | Boolean | Get historical interest data | ## Sample Output json { "keyword": "bitcoin", "geo": "Worldwide", "timeRange": "Past day", "relatedSearches": { "top": [ { "query": "bitcoin price", "value": 100, "formattedValue": "100", "link": "/trends/explore?q=bitcoin+price&date=now+1-d" }, { "query": "bitcoin usd", "value": 45, "formattedValue": "45", "link": "/trends/explore?q=bitcoin+usd&date=now+1-d" } ], "rising": [ { "query": "bitcoin news today", "value": 450, "formattedValue": "+450%", "link": "/trends/explore?q=bitcoin+news+today&date=now+1-d" }, { "query": "bitcoin crash", "value": 200, "formattedValue": "+200%", "link": "/trends/explore?q=bitcoin+crash&date=now+1-d" } ] }, "geoData": [ { "geoCode": "NG", "geoName": "Nigeria", "value": 100, "formattedValue": "100" }, { "geoCode": "SV", "geoName": "El Salvador", "value": 85, "formattedValue": "85" }, { "geoCode": "US", "geoName": "United States", "value": 42, "formattedValue": "42" } ], "interestOverTime": [ { "time": "1732492800", "formattedTime": "Nov 25, 2024 at 12:00 AM", "value": 75, "formattedValue": "75", "isPartial": false }, { "time": "1732496400", "formattedTime": "Nov 25, 2024 at 1:00 AM", "value": 82, "formattedValue": "82", "isPartial": false } ], "scrapedAt": "2024-11-25T12:00:00.000Z" } ## Time Range Options | Option | Description | |--------|-------------| | Past hour | Minute-by-minute data for the last 60 minutes | | Past 4 hours | Recent short-term trends | | Past day | Hourly data for the last 24 hours | | Past 7 days | Daily data for the past week | | Past 30 days | Daily data for the past month | | Past 90 days | Weekly data for the past quarter | | Past 12 months | Weekly data for the past year | | Past 5 years | Monthly data for long-term analysis | | Since 2004 | Complete historical data | ## Use Cases Market Research - Track interest in products, brands, or industries - Identify seasonal trends and patterns - Compare multiple competitors or products SEO & Content Marketing - Find trending topics for content creation - Discover related keywords for optimization - Identify content gaps and opportunities Investment & Finance - Monitor interest in stocks, cryptocurrencies, and assets - Track sentiment around financial events - Identify emerging investment opportunities Academic Research - Study public interest patterns - Analyze cultural and social trends - Research consumer behavior Competitive Intelligence - Compare brand awareness across regions - Track competitor product launches - Monitor industry trends ## Tips for Best Results 1. Be specific: "iPhone 15 Pro" gives better results than just "iPhone" 2. Use multiple keywords: Compare up to 5 related terms in one run 3. Try different time ranges: Short-term for trending topics, long-term for seasonal patterns 4. Filter by region: Get country-specific insights by setting the geo parameter 5. Combine with categories: Use category filtering for more relevant results in specific industries

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try Google Trends Scraper now on Apify. Free tier available with no credit card required.

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Actor Information

Developer
agenscrape
Pricing
Paid
Total Runs
45
Active Users
10
Apify Platform

Apify provides a cloud platform for web scraping, data extraction, and automation. Build and run web scrapers in the cloud.

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