📈 Google Trends Scraper

🚀 Export Google Trends interest data for any keyword in seconds. Weekly interest over time, 50 regional breakdowns, top queries, rising queries, and related topics. No API key, no registration, no manual chart screenshots.

The Google Trends Scraper pulls structured interest data for any keyword from Google Trends and returns a clean record per keyword. You get weekly interest values on a 0-100 scale, a region breakdown (up to 50 geographies), the top 25 related queries, the top 25 rising queries, and the top 25 related topics. Timeframe and geo filters let you compare against the last hour, the last week, or the last five years.

Each keyword runs in its own proxy session with a fresh cookie jar, which keeps Google Trends rate limits in check. Aggregate stats (averageInterest, peakInterest, peakDate) are computed alongside the raw series so you can score keywords without extra math. Output is ready for content calendars, trend dashboards, and timing analyses.

🎯 Target Audience	💡 Primary Use Cases
Content marketers, SEO teams, product managers, investors, journalists, growth analysts	Content calendar planning, product launch timing, keyword research, market sizing, trend-spotting

📋 What the Google Trends Scraper does

Five trend workflows in a single run:

• 📊 Interest over time. Weekly 0-100 values for the selected timeframe.
• 🌍 Interest by region. Top 50 countries or states ranked by relative interest.
• 🔥 Rising queries. Fastest-growing related search terms, ranked by breakout score.
• 🏆 Top queries. Most popular related searches, ranked by absolute volume.
• 🧠 Related topics. Knowledge graph entities co-occurring with your keyword.

Each record also ships with averageInterest, peakInterest, peakDate, and a scrapedAt timestamp.

💡 Why it matters: trends data powers every content calendar, product launch window, and investment thesis. Manual chart screenshots do not scale. This Actor returns structured records that drop straight into your dashboard.

📊 Data fields

Each record includes: averageInterest, geo, interestOverTime, keyword, peakDate, peakInterest, relatedTopics, results, risingQueries, scrapedAt, timeRange, topQueries. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

⚠️ Good to Know: Google Trends applies aggressive rate limiting per IP. The scraper rotates proxy sessions per keyword to reduce throttling. For hot keywords, expect occasional empty records; retry with a longer gap or different country.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Google Trends Scraper page on the Apify Store.
3. 🎯 Set keywords. Enter the terms you want to analyze plus timeframe and geo.
4. 🚀 Run it. Click Start and let the Actor pull the widgets.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💡 Pro Tip: browse the complete ParseForge collection for more SEO and research tools.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with Google. It accesses only publicly available Google Trends data. Respect Google's terms of service and rate limits when running production workloads.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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