Google Trends Fast Scraper (Pure HTTP JSON & RSS Engine)
Pricing
Pay per usage
Google Trends Fast Scraper (Pure HTTP JSON & RSS Engine)
Extract Google Trends Interest Over Time, Interest by Region, Related Queries/Topics, Autocomplete Topics, and Daily Trending Searches in <2 seconds with zero headless browsers. $1.00/1,000 results ($0.001/item), $0 start fee — 67-96% cheaper than existing scrapers. Built by Keene Digital Studio.
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Pay per usage
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Keene Digital Studio
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Google Trends Fast Scraper (Pure HTTP JSON & RSS Engine — <2s Runtime)
Publisher: Keene Digital Studio
Pricing: $1.00 per 1,000 results ($0.001 per result) · $0.00 Actor start fee · Platform Usage Included
Speed: <500ms–1,500ms per query (zero headless browser, zero Chromium startup overhead).
Why Switch to This Actor? (Transparent Pricing & Reliability Comparison)
The primary Google Trends incumbent on Apify (apify/google-trends-scraper) spins up a heavy headless Chromium browser that frequently hangs on Google's consent/rate-limit walls — resulting in a 44.8% non-success rate over the last 30 days (19.9% timed out, 23.0% aborted by users, 1.8% failed) while charging $3.00/1k results PLUS passing all platform compute/proxy costs onto the user.
Meanwhile, alternative Actors like agenscrape/google-trends-scraper and data_xplorer/google-trends-fast-scraper charge a predatory $25.00 per 1,000 Actor starts ($0.025 just to start a run).
Our engine talks directly to Google Trends' lightweight internal JSON widget APIs (/trends/api/explore, /trends/api/widgetdata/multiline, /trends/api/widgetdata/comparedgeo, /trends/api/widgetdata/relatedsearches, /trends/api/autocomplete) and official Daily Trending RSS feeds (https://trends.google.com/trending/rss) with automatic NID session cookie priming and exponential retry.
| Feature / Metric | Keene Digital Studiogoogle-trends-fast-scraper | Incumbent #1apify/google-trends-scraper | Incumbent #2data_xplorer/google-trends-fast-scraper | Incumbent #3agenscrape/google-trends-scraper |
|---|---|---|---|---|
| Price per 1,000 Results | $1.00 / 1k ($0.001/item) | $3.00 / 1k + User Pays Compute/Proxy | $2.00 / 1k | $25.00 / 1k |
| Actor Start Fee (per 1k starts) | $0.00 | $0.00 (high browser compute cost) | $25.00 / 1k starts ($0.025/run) | $25.00 / 1k starts ($0.025/run) |
| Your Savings | Baseline | 67%+ Cheaper (No Browser CU) | 50%–96% Cheaper ($0 Start Fee) | 96% Cheaper |
| 30-Day Run Reliability | >=98%+ Verified | 55.2% Succeeded (44.8% timeout/abort/fail) | Good, but penalizes small runs | Low volume |
| Typical Execution Speed | 0.3s – 1.2s (Pure HTTP JSON) | 45s – 300s+ (Headless Browser) | 2s – 8s | 5s – 20s |
| Endpoints Covered | Timeline + Geo + Related + Autocomplete + Daily RSS | Browser DOM scrape | Partial widget API | Partial widget API |
Supported Extraction Modes
all(Default): Fetches Interest Over Time (multiline), Interest By Region (comparedgeo), Related Queries & Topics (relatedsearchesTop & Rising), and Knowledge Graph Autocomplete Entities (autocomplete) in parallel in <1 second.interest_over_time: Fetches high-resolution timeline data (timestamp,formattedTime,value,isPartial) plus summary statistics (averageInterest,peakInterest,latestInterest).interest_by_region: Fetches regional/state/country breakdown sorted by search interest (geoCode,geoName,value).related_queries: Fetches bothtopandrisingrelated search queries and topics (including Breakout%queries).autocomplete: Resolves a keyword into Google Knowledge Graphmidentities and topic types (Artificial intelligence -> /m/0mkz).daily_trends: Fetches real-time Daily Trending Searches for any country (US,GB,CA,DE,IN,JP,BR,FR,AU, etc.) including traffic volume (approxTraffic) and related news articles.
Input Example
{"keywords": ["artificial intelligence", "python"],"mode": "all","geo": "US","timeframe": "today 12-m","category": 0,"hl": "en-US"}
Output Example
[{"queryType": "all","keyword": "python","geo": "US","timeframe": "today 12-m","category": 0,"interestOverTime": [{"timestamp": 1761436800,"formattedTime": "Oct 26 – Nov 1, 2025","formattedAxisTime": "Oct 26, 2025","value": 84,"isPartial": false}],"interestByRegion": [{"geoCode": "US-WA","geoName": "Washington","value": 100,"hasData": true}],"relatedQueries": {"top": [{ "query": "what is python", "value": 100, "formattedValue": "100" }],"rising": [{ "query": "python 3.13", "value": 450, "formattedValue": "+450%" }]},"autocompleteTopics": [{"mid": "/m/05z1_","title": "Python","type": "Programming language"}],"summaryStats": {"timelinePointsCount": 53,"averageInterest": 78.42,"peakInterest": 100,"latestInterest": 81,"regionsCount": 51,"relatedQueriesTopCount": 25,"relatedQueriesRisingCount": 25,"autocompleteTopicsCount": 5},"elapsedMs": 412}]
Local CLI Usage
# Full keyword intelligence (timeline + geo + related + autocomplete)python3 -m src.main --input '{"keywords": ["python"], "mode": "all", "geo": "US"}'# Real-time daily trending searchespython3 -m src.main --input '{"mode": "daily_trends", "geo": "US"}'
Built and maintained by Keene Digital Studio.