Google Trends Scraper π
Pricing
$12.00/month + usage
Google Trends Scraper π
Fastest and Cheapest Google Trends Scraper: All in one, π₯real time trending searches, interest over time, interest by region, and Related queries and topics, and more
Pricing
$12.00/month + usage
Rating
3.9
(4)
Developer
ScraperPro
Maintained by CommunityActor stats
11
Bookmarked
132
Total users
3
Monthly active users
5 days ago
Last modified
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π₯ The Ultimate All-in-One Goolge Trends Scraper
Stop paying for fragmented scrapers that only do one thing, break on unrecognized regions, or fail silently without giving you data. This Google Trends Scraper replaces multiple tools by offering 5 unique intelligence endpoints in a single actor. Coupled with a heavily optimized 2.0 Infrastructure, it bypasses Google's aggressive rate-limiting out of the box.
β οΈ DEPRECATION NOTICE: Apify is phasing out the legacy "Rental" pricing model.
We have launched a massively upgraded, heavily optimized V2 Pay-Per-Event version that natively bypasses rate limits with residential proxies and offers 100% predictable pricing!
π Click here to use the NEW Google Trends Scraper V2 (PPE) π
Why pay for 5 different actors? This is the ONLY all-in-one Google Trends solution you need. Extract real-time trends, historical timeline data, regional maps, related queries, and topicsβall from a single, unified scraper. Bypass strict 429 rate limits natively using automated residential proxies.
- β 5 Unique Intelligence Endpoints: Grab Trending Now (Real-Time), Interest Over Time (Historical), Interest by Region, Related Queries, or Related Topics without switching actors or paying split costs.
- β Native Residential Proxies: Built-in evasion techniques guarantee zero IP blocks. (Proxy rotation included)
- β Enterprise Architecture: Built by experts to handle edge cases like missing regional data, arrays, and timezone anomalies without crashing.
- β Big Data Ready: Returns flat, perfectly normalized JSON directly to your datasets, fully compatible with Apify CSV, Excel, or Pandas DataFrames.
π Pricing Structure (Legacy Rental)
This actor uses a legacy Rental pricing model. You can run the actor for a fixed monthly rate.
(Note: We highly recommend migrating to our new Pay-Per-Event actor for much more predictable and scalable pricing!)
π οΈ Extensive Core Features
1. π Trending Now (Real-time Pulses)
Monitor the exact pulse of the internet globally. Perfect for news aggregators and reactive social media marketers.
- Real-time trend scoring with hourly windows.
- Contextual news articles automatically attached.
- Precise traffic volume estimates (e.g., "5M+ Searches").
2. π Interest Over Time
Extract precision timeline data spanning from 2004 to today. Great for spotting macro seasonal shifts in e-commerce or finance.
- Compare up to 5 strategic keywords simultaneously.
- Normalized scoring (0-100 search index).
3. πΊοΈ Interest by Region
Reveal exactly where keyword demand is centralized geographically.
- Granular breakdowns by Country, Region (State), DMA, or City.
- Perfect for targeted local PPC advertising.
4. π Related Queries & π·οΈ Related Topics
Reverse-engineer Google's contextual groupings to unearth long-tail keywords your competitors miss.
- Flags both "Rising" (breakout trends) and "Top" semantic queries.
- Extracts enriched Google Knowledge Graph entity categories.
π― High-ROI Implementation Use Cases
- π E-commerce & Dropshipping: Identify viral products (e.g., TikTok trends) before market saturation occurs.
- π SEO Content Planning: Blueprint thousands of blog posts dynamically using Related Queries.
- πΈ Algorithmic Trading: Correlate breakout consumer search volume for specific ticker symbols with quantitative price action.
- π§βπΌ Enterprise Market Research: Uncover deep demographic shifts and map brand penetration.
βοΈ Input Configuration Options
| Parameter | Description |
|---|---|
scrape_type | Choice of 5 endpoints (e.g., trending_now, interest_over_time). |
keywords | Up to 5 target queries (Required for historical modes). |
predefined_timeframe | Fast dropdowns like today 12-m, now 7-d, or all. |
gprop | Service filter: Web, Images, News, Shopping, YouTube. |
geo_resolution | Precision level: COUNTRY, REGION, CITY, or DMA. |
π Clean, Normalized JSON Output
Every run outputs perfectly serialized, cross-platform friendly data.
π Output Example: Interest Over Time
{"scrape_type": "interest_over_time","error": false,"error_message": null,"data": [{"date": "2024-01-15T00:00:00+00:00","Artificial Intelligence": 100,"isPartial": false}]}
π Output Example: Trending Now
{"scrape_type": "trending_now","error": false,"error_message": null,"data": [{"keyword": "GPT-5 Release","traffic": "2M+","started_timestamp": "2024-03-20T14:00:00+00:00","articles": [{"title": "OpenAI announces the future of AGI...","source": "TechCrunch"}]}]}
π¨ Pro Tips for Maximum Success
- Integrated Proxies: This scraper is built natively around Apify's Residential IP pool. Leave Proxy configuration at default for a seamless, unblockable experience.
- Smart Backpressure: If Google returns sudden errors, our engine applies invisible exponential backoffβsaving your session without double billing you for failed API calls. Permanent errors are surfaced cleanly to your dataset without crashing the Actor.
- Patience on "All" Data: Pulling absolute historical footprints (2004-Present) for 5 keywords simultaneously generates massive payloads. The Actor will work reliably, just give it a minute!
π Recent Updates
v1.0 (August 2026)
- Engine Optimization: Upgraded the scraping engine to use our new V2 stealth infrastructure, significantly reducing 429 errors and block rates.
- Backward Compatibility: Fully preserved the legacy input schema and nested JSON output structure (
{"data": [...]}) so your existing integrations will not break. - Deprecation Warning: Apify is phasing out the legacy Rental model. This actor will continue to work, but we strongly advise migrating to our new Pay-Per-Event (PPE) Scraper.
Disclaimer: This scraper leverages sophisticated data routing and is not affiliated with Google LLC. Built for structured open data intelligence.