Google Trends Scraper Pro

Google Trends interest-over-time for any keyword, in clean one-row-per-record output: time series points, related queries, and interest by region, for one to 25 keywords per run across any timeframe and search vertical. Built for AI agents, dashboards, and pipelines that need predictable tabular trend data.

Why this over the alternatives

The Store's default result (apify/google-trends-scraper, rated 3.68 from 32 reviews) is slow on multi-keyword jobs and stops at interest-over-time. The fastest alternative (data_xplorer/google-trends-fast-scraper, 2,357 monthly users) covers timeseries but returns one blob per keyword rather than flat rows. Google Trends Scraper Pro is a focused pull: multi-keyword batching, exact date-tagged points, optional related queries and per-region interest, and a hard row cap so output stays predictable.

Actor	Rating	Monthly users	Price
Google Trends Scraper Pro	new	new	$1.00 per 1,000 records + $0.005 per run
apify/google-trends-scraper	3.68 (32 reviews)	2,419	free
data_xplorer/google-trends-fast-scraper	4.88 (4 reviews)	2,357	$0.025 per run

Input

Field	Type	Default	Description
keywords	string list	["tesla"]	Search terms to measure. Up to 25 per run, each pulled in its own clean series.
geo	string	US	Two-letter country code (US, GB, DE, IN), or empty for worldwide interest.
timeframes	string list	["today 1-m"]	Google Trends windows: 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.
searchType	select	web	Search vertical: web, news, images, youtube, shopping.
category	integer	0	Google Trends category ID to narrow the data.
includeRelatedQueries	checkbox	false	Add related-query rows per keyword with rank, score, and top vs rising.
includeRegions	checkbox	false	Add per-region interest rows (states, provinces, or worldwide countries).
maxRows	integer	500	Hard cap on total result rows per run, 1 to 5,000.

Output

One flat record per data point, tagged with a type field:

{"type":"point","keyword":"tesla","geo":"US","timeframe":"today 1-m","date":"2026-10-17","value":64,"isPartial":false}
{"type":"relatedQuery","kind":"top","keyword":"tesla","geo":"US","timeframe":"today 1-m","rank":1,"query":"tesla stock","value":100}
{"type":"region","keyword":"tesla","geo":"US","timeframe":"today 1-m","regionCode":"US-CA","regionName":"California","value":78,"rank":1}

Use cases

• Market and demand research: track interest in products, brands, and topics over time.
• Content and SEO planning: find rising related queries before they peak.
• Agent pipelines: flat rows load straight into a spreadsheet, warehouse, or model context.
• Competitive monitoring: batch up to 25 keywords per run with identical timeframes.

Pricing

Pay per event: $0.005 per run plus $1.00 per 1,000 result records. A one-month daily series for one keyword is about 30 records. Failed combinations are not billed; you pay only for records returned.

FAQ

Which timeframes are supported? Every Google Trends window: hours (now 1-H, now 4-H), days (now 1-d, now 7-d), months (today 1-m, today 3-m, today 12-m), and long horizons (today 5-y, all).

Can I compare multiple keywords in one series? Each keyword is measured in its own series, so every row carries one keyword and values stay comparable across runs. Set a 0 to 100 scale per keyword per timeframe, exactly as Google does.

What does a "point" row contain? The normalized interest value for that date or hour, 0 to 100, with an isPartial flag on the most recent bucket.

What if a keyword has no data? That combination is skipped with no charge. A run fails only when no combination returns data.

Does it work worldwide? Yes. Leave the country field empty for worldwide interest, or set US, GB, DE, IN, and other country codes.