📈 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.

🕒 Last updated: 2026-04-21 · 📊 10 fields per keyword · 📅 9 time ranges · 🌍 Worldwide + per-country geo · ⚡ 25 items per query

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

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📋 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.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough of rising-query monitoring across a 10-keyword set.

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⚙️ Input

Input	Type	Default	Behavior
keywords	array of strings	required	One or more keywords to analyze.
timeRange	string	"today 12-m"	Google Trends time range (today 12-m, now 7-d, today 5-y, all, etc.).
geo	string	""	ISO country code or empty for worldwide.
maxItems	integer	10	Keywords returned. Free plan caps at 10, paid plan at 1,000,000.

Example: US trend analysis across tech keywords.

{
    "keywords": ["ai agents", "llm", "rag", "claude"],
    "timeRange": "today 12-m",
    "geo": "US",
    "maxItems": 10
}

Example: worldwide 5-year view of a product category.

{
    "keywords": ["electric vehicle"],
    "timeRange": "today 5-y",
    "geo": "",
    "maxItems": 1
}

⚠️ 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.

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📊 Output

Each record contains 10 fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
🔎 keyword	string	"ai agents"
🌍 geo	string	"US"
📅 timeRange	string	"today 12-m"
📊 averageInterest	number	45
🏔️ peakInterest	number	100
📆 peakDate	string | null	"Feb 16 2026"
📈 interestOverTime	array	[{"time": "Apr 21 2025", "value": 23}, ...]
🌐 interestByRegion	array	[{"geoName": "California", "geoCode": "US-CA", "value": 100}, ...]
🏆 topQueries	array	[{"query": "what are ai agents", "value": 100}, ...]
🔥 risingQueries	array	[{"query": "claude agents", "value": 9500}, ...]
🧠 relatedTopics	array	[{"topic": "OpenAI", "type": "Company", "value": 100}]
🕒 scrapedAt	ISO 8601	"2026-04-21T12:00:00.000Z"
❗ error	string | null	"Rate limited" on failure

📦 Sample records

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✨ Why choose this Actor

	Capability
📈	Full widget set. Interest over time, by region, top queries, rising queries, related topics.
🌍	Geo targeting. Worldwide or any ISO country code (or state within the US).
📅	9 timeframes. From the last hour to all time.
🔁	Session rotation. Fresh proxy session per keyword reduces rate limiting.
🧠	Aggregate stats. Average, peak, peak date computed for you.
🔌	Integrations. Drops into Sheets, Slack, dashboards, and RAG pipelines.
🚫	No API key. No SerpAPI account, no Google Cloud project required.

📊 Content marketers who time posts to rising trend windows see 2 to 3x the search traffic of competitors publishing on flat-interest keywords.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Google Trends Scraper (this Actor)	$5 free credit, then pay-per-use	Worldwide + 200 countries	Live per run	timeframe, geo, keyword list	⚡ 2 min
SerpAPI Trends	$50+/month	Full widgets	Real-time	Rich	⏳ Hours
Google Trends UI (manual)	Free	Full	Real-time	Manual	🐢 Slow
DIY scraping scripts	Free	Your code	Your schedule	Whatever you build	🐢 Days

Pick this Actor when you want structured Trends data without subscribing to a SerpAPI-style service.

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🚀 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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💼 Business use cases

✍️ Content Marketing Time blog posts to rising-trend windows Build editorial calendars around seasonality Spot emerging topics before competitors Feed an AI writer with current rising queries	🚀 Product Launches Validate demand before building Pick launch regions by interest density Time announcements to peak interest Track post-launch awareness over time
📈 SEO & Growth Discover rising keywords for content Track category interest for prioritization Map regional opportunities for localization Monitor brand vs category over time	📊 Research & Investment Spot category growth before earnings hit Correlate search interest with stock moves Map geographic centers of a trend Compile case studies for reports

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🔌 Automating Google Trends Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Daily keyword tracking over a watchlist builds a historical trend archive downstream.

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❓ Frequently Asked Questions

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🔌 Integrate with any app

Google Trends Scraper connects to any cloud service via Apify integrations:

• Make - Automate trend tracking
• Zapier - Push alerts when trends spike
• Slack - Share weekly trend digests
• Airbyte - Pipe trends into your warehouse
• GitHub - Trigger runs from commits
• Google Drive - Export to Sheets for charts

You can also use webhooks to push trend data into dashboards and alerting pipelines.

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🔗 Recommended Actors

• 🔍 Google Search Scraper - SERP results with rank and description
• 🤖 RAG Web Browser - Search or fetch URLs with LLM-ready output
• 🎬 YouTube Transcript Scraper - Full transcripts for trending videos
• 📰 Smart Article Extractor - Extract articles from news sites
• 📸 Instagram Search Scraper - Profile lookup on Instagram

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

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

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⚠️ 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.