Google Trends Fast Scraper (Pure HTTP JSON & RSS Engine) avatar

Google Trends Fast Scraper (Pure HTTP JSON & RSS Engine)

Pricing

Pay per usage

Go to Apify Store
Google Trends Fast Scraper (Pure HTTP JSON & RSS Engine)

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.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Keene Digital Studio

Keene Digital Studio

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

Share

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 / MetricKeene Digital Studio
google-trends-fast-scraper
Incumbent #1
apify/google-trends-scraper
Incumbent #2
data_xplorer/google-trends-fast-scraper
Incumbent #3
agenscrape/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 SavingsBaseline67%+ Cheaper (No Browser CU)50%–96% Cheaper ($0 Start Fee)96% Cheaper
30-Day Run Reliability>=98%+ Verified55.2% Succeeded (44.8% timeout/abort/fail)Good, but penalizes small runsLow volume
Typical Execution Speed0.3s – 1.2s (Pure HTTP JSON)45s – 300s+ (Headless Browser)2s – 8s5s – 20s
Endpoints CoveredTimeline + Geo + Related + Autocomplete + Daily RSSBrowser DOM scrapePartial widget APIPartial widget API

Supported Extraction Modes

  1. all (Default): Fetches Interest Over Time (multiline), Interest By Region (comparedgeo), Related Queries & Topics (relatedsearches Top & Rising), and Knowledge Graph Autocomplete Entities (autocomplete) in parallel in <1 second.
  2. interest_over_time: Fetches high-resolution timeline data (timestamp, formattedTime, value, isPartial) plus summary statistics (averageInterest, peakInterest, latestInterest).
  3. interest_by_region: Fetches regional/state/country breakdown sorted by search interest (geoCode, geoName, value).
  4. related_queries: Fetches both top and rising related search queries and topics (including Breakout % queries).
  5. autocomplete: Resolves a keyword into Google Knowledge Graph mid entities and topic types (Artificial intelligence -> /m/0mkz).
  6. 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 searches
python3 -m src.main --input '{"mode": "daily_trends", "geo": "US"}'

Built and maintained by Keene Digital Studio.