Google Trends Scraper & API: Interest Over Time, Regions & Related Queries

A Google Trends API alternative that finishes the job. Give it a list of keywords and get interest over time, interest by country, state or city, and top and rising related queries as clean, flat rows. Export to CSV, Excel, JSON or Google Sheets, or call it as a Google Trends API from Python, JavaScript, Make, Zapier or n8n.

Google has no public Google Trends API for most users, and the official Trends website often answers scripts with HTTP 429 ("too many requests"). This actor talks to the same Trends data endpoints with automatic back-off, fresh cookies and proxy rotation, so long keyword lists complete instead of timing out.

Tested head-to-head (13 Oct 2026)

Same 8 keywords, same settings (geo: US, timeframe: today 3-m, one keyword per request), run on Apify the same afternoon. Keywords: airbnb, vrbo, chatgpt, bitcoin, pickleball, air fryer, standing desk, halloween costumes.

	This actor	Most-used Google Trends scraper in the Store (browser-based)
Keywords completed	8 / 8 (0% failed)	1 / 8 in run 2 (4 GB), 0 / 8 in run 1 (2 GB)
Run time	140 s for all 8	518 s for 1 keyword, then stopped by our cost cap
Retries visible in log	none needed	25 "Reclaiming failed request" retries (run 2)
Rows returned	1,463 rows (93 daily points, 51 states and up to 50 related queries per keyword)	1 item (all sections nested in one record)
Cost of the test	$0.08 at $0.01/keyword (platform usage included)	about $0.52 of platform usage in run 2 plus result fees, paid by the user

Data agreement: for "vrbo", the only keyword both actors returned, the 93 daily values differed by 0.66 points on average (max 4 on the 0–100 scale), which is normal Google sampling noise. Same source, same numbers.

Honest caveats: one test, one afternoon, 8 keywords. Google throttling varies by hour and IP, so your success rate can differ. In the competitor's public Store stats for the last 30 days, 13,315 of 23,303 runs (57%) succeeded, with 5,070 timed out and 4,350 aborted. Our own Store stats are still small.

Real output from that test

Keyword	Daily points	Peak day (index 100)	Top US state	Top related query
airbnb	93	2026-07-13	Vermont	hotels
vrbo	93	2026-07-19	Vermont	airbnb
chatgpt	93	2026-09-03	California	chatgpt ai
bitcoin	93	2026-08-21	Kansas	bitcoin price
pickleball	93	2026-08-30	Hawaii	pickleball paddle
air fryer	93	2026-08-12	Oklahoma	air fryer chicken
standing desk	93	2026-09-27	Kansas	standing desk review
halloween costumes	93	2026-10-11	West Virginia	costumes for halloween

Why this one

• Built to finish. Automatic back-off on 429s, cookie refresh and proxy session rotation. If a keyword still fails, you get a clear error row and the rest of the run carries on.
• Pay only for keywords that succeed. $0.01 per keyword, all requested sections included. Failed keywords are free. Nothing extra for compute.
• Flat rows, ready for spreadsheets. One row per date, per region or per related query, so CSV and Excel exports work without unnesting JSON.
• Compare mode. Up to 5 keywords on one 0–100 scale, exactly like the Trends "compare" view.
• Web, YouTube, News, Images or Shopping search, any country, region or category, from the past hour back to 2004.

Use cases

• Keyword research and SEO content planning: find rising queries before they peak.
• Seasonality for e-commerce, travel and short-term rentals.
• Brand vs competitor interest tracking with scheduled weekly runs.
• Market and investment research, dashboards in Looker Studio or Google Sheets.

Input example

{ "keywords": ["airbnb", "vrbo"], "geo": "US", "timeframe": "today 3-m", "compareKeywords": false }

Output examples (real rows from the test run)

{"type":"interestOverTime","keyword":"airbnb","date":"2026-07-13","value":100,"isPartial":false,"geo":"US","timeframe":"today 3-m"}
{"type":"interestByRegion","keyword":"pickleball","region":"Hawaii","value":100,"geo":"US"}
{"type":"relatedQueries","keyword":"airbnb","list":"rising","query":"big bear airbnb","value":50,"formattedValue":"+50%"}

Dataset views: Interest over time, Interest by region and Related queries & topics.

Use it as a Google Trends API

curl -X POST "https://api.apify.com/v2/acts/nimble_levi~google-trends-reliable/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["pickleball"],"geo":"US","timeframe":"today 12-m"}'

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("nimble_levi/google-trends-reliable").call(run_input={"keywords": ["pickleball"], "geo": "US"})
rows = list(client.dataset(run["defaultDatasetId"]).iterate_items())

Pricing

$0.01 per keyword, covering all requested sections. Failed keywords are free. 100 keywords cost $1.

FAQ

Is there an official Google Trends API? Google announced a Trends API in July 2025, but it is still an invite-only alpha for a limited group of testers. For everyone else, a scraper like this one is the practical way to get Trends data into code or spreadsheets. Is this a pytrends alternative? Yes. pytrends was archived by its maintainers in April 2025 and often hits 429 errors. This actor handles retries, cookies and proxies for you and returns flat rows. Are the values search volumes? No. Google Trends gives a relative 0–100 index per keyword, timeframe and region, not absolute search counts. Why are related topics sometimes empty? Google only provides them for enough search volume, often not for short timeframes or small regions. Large batches? Use the Apify RESIDENTIAL proxy group for hundreds of keywords.

Google Trends is a trademark of Google LLC. This tool is independent and not affiliated with Google.