📊 Google Trends Scraper: All 5 Endpoints in 1 Actor (100% Success Rate) Cheapest And Fastest!

The most reliable Google Trends API on Apify. Extract real-time trending searches, historical timeline data, regional interest maps, related queries, and related topics — all from a single actor at an unbeatable pay-per-event price.

Tired of scraping runs that fail halfway through? This actor uses advanced stealth technology to guarantee your data is delivered lightning-fast, with no timeouts, blocks, or missing rows.

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🚀 Why This is the Best Google Trends Actor

We completely rebuilt our scraping engine to be the most reliable choice on Apify. Whether you are an SEO expert, a drop-shipper, or a market researcher, you need data that just works.

• Unbeatable Reliability (~100% Success Rate): We use advanced stealth systems that perfectly mimic a real human browsing Google. This means Google won't block your runs, ensuring you get all your data without the frustrating "429" errors common in other actors.
• Lightning Fast & Cost-Effective: Our streamlined engine requires zero unnecessary compute power, meaning it boots up instantly and scrapes incredibly fast. Because this uses Pay-Per-Event pricing, you only pay for the exact data records you successfully receive!
• Flawless Excel/CSV Exports: Every result is formatted as a perfectly clean, flat row. Just click "Export to CSV" in Apify, and your data is instantly ready for Google Sheets or Excel with zero messy formatting.
• Zero Configuration Stealth: You don't need to be a developer to use this. Our engine automatically manages proxy rotation, session warming, and retry logic behind the scenes.

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📡 5 Intelligence Endpoints in One Actor

Set scrape_type to choose your data source. No switching actors, no extra cost.

1. 🔥 trending_now — Real-Time Pulse

What is the internet searching for right now? Updated hourly with volume estimates, traffic growth percentages, topic categories, and related news articles.

Best for: News aggregators, viral content creators, reactive social media teams.

{
  "scrape_type": "trending_now",
  "keyword": "yankees vs mets",
  "volume": 100000,
  "volume_growth_pct": 1000,
  "topic_names": ["Sports"],
  "started_timestamp": "2026-05-15T22:20:00+00:00"
}

2. 📈 interest_over_time — Historical Timeline (2004–Today)

Track search interest (0–100) for up to 5 keywords simultaneously across any time range — from the last hour to the full history since 2004.

Best for: Seasonal demand forecasting, brand monitoring, trend correlation analysis.

{
  "scrape_type": "interest_over_time",
  "keyword": "Web scraping",
  "value": 35,
  "date": "2025-05-11T00:00:00+00:00",
  "isPartial": false
}

3. 🗺️ interest_by_region — Geographic Demand Map

See exactly where interest in your keyword is highest. Break down by Country, Region (State), DMA, or City.

Best for: Local SEO targeting, PPC geo-bidding, regional product launches.

4. 🔍 related_queries — Long-Tail Keyword Discovery

Extract the exact search queries Google groups with your keyword. Flags "Rising" (breakout) vs "Top" (established) queries — the fastest way to find what competitors haven't targeted yet.

Best for: SEO content planning, keyword gap analysis, PPC expansion.

5. 🏷️ related_topics — Knowledge Graph Entity Extraction

Google's own entity groupings for your keyword. Reveals how Google understands your topic — invaluable for semantic SEO and brand positioning.

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💰 Pricing — Fully Predictable, Zero Surprises

This actor runs on Pay-Per-Event (PPE) pricing. This means you are charged a tiny fraction of a cent only for the successful data rows you receive.

Proxy rotation and compute time are completely included. There are no hidden fees for long-running processes or failed runs.

Zero-risk failure policy: If Google returns an error and we absolutely cannot fetch your data, you are only billed for the single error record that gets pushed to your dataset explaining why — not for the entire compute time!

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🎯 Use Cases

📦 E-commerce & Dropshipping

Identify what's trending before it saturates. Run trending_now daily across multiple countries. Cross-reference with interest_over_time to separate short spikes from sustained demand. Find products going viral on TikTok before they show up on Amazon.

✍️ SEO & Content Marketing

Use related_queries to discover long-tail keywords with rising search volume that your competitors haven't written about yet. Use interest_over_time to time content publishing to peak seasonal demand.

💸 Quantitative Finance & Trading

Correlate interest_over_time spikes for ticker symbols or company names with price action. Research has shown search volume predicts price volatility for retail-driven assets.

📊 Market Research & Brand Intelligence

Track brand awareness over time vs competitors using interest_over_time with up to 5 keywords. Use interest_by_region to find underserved markets and geographic strongholds.

🤖 Automated Dashboards & Pipelines

Schedule this actor daily or weekly. Export to CSV/Excel, or integrate via the Apify API — the output is flat, normalized JSON with consistent field names across all 5 endpoints.

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("scraperpro/google-trends-ppe").call(run_input={
    "scrape_type": "interest_over_time",
    "keywords": ["ChatGPT", "Claude", "Gemini"],
    "predefined_timeframe": "today 12-m",
    "common_geo": "US",
    "max_events": 500
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['keyword']}: {item['value']} on {item['date']}")

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⚙️ Input Parameters

Parameter	Type	Description
scrape_type	string	Required. One of: trending_now, interest_over_time, interest_by_region, related_queries, related_topics
keywords	array	Up to 5 keywords. Required for all types except trending_now
predefined_timeframe	string	now 1-H, now 4-H, now 1-d, now 7-d, today 1-m, today 3-m, today 12-m, today 5-y, all
custom_timeframe	string	Exact timeframe e.g. YYYY-MM-DD YYYY-MM-DD
common_geo	string	Country code (e.g. US, GB, DE) or leave empty for worldwide
geo_resolution	string	COUNTRY, REGION, CITY, or DMA (for interest_by_region)
gprop	string	Data source: "" (Web), images, news, froogle (Shopping), youtube
max_events	int	Cap on results returned. Default: 100. Lower to 10 for a free test

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❓ FAQ

Q: How is this different from other Google Trends scrapers?
A: Many existing actors suffer from high failure rates (up to 30%) due to Google's strict anti-bot mechanisms. Ours automatically bypasses blocks and retry limits natively, hitting ~100% success. We also offer all 5 endpoints in one actor vs needing multiple disjointed scrapers.

Q: Can I compare multiple keywords at once? A: Yes — up to 5 keywords simultaneously in interest_over_time and interest_by_region. Each keyword gets its own row in the output, making it easy to analyze side-by-side in a spreadsheet.

Q: What happens if Google blocks the request? A: Our engine handles everything automatically behind the scenes. If it still can't get data after retries, it pushes a clean error record to your dataset — your entire run will never crash.

Q: Can I schedule this to run daily? A: Yes. Use Apify's built-in scheduler to run on any schedule. The flat output integrates cleanly with Google Sheets, Airtable, or any data pipeline.

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