Pricing

from $1.00 / 1,000 trends results

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Google Trends Scraper

Try for free

Google Trends data as JSON: interest over time, interest by country or region, and top and rising related queries for any keyword, compared or separately. Any country, time range and search type.

Pricing

from $1.00 / 1,000 trends results

Rating

0.0

(0)

Developer

BDS Data

Actor stats

Bookmarked

Total users

Monthly active users

6 hours ago

Last modified

What you get

For each search term (or each comparison), one result with:

Field	Description
`interestOverTime`	`[{ date, formattedTime, value, isPartial }]`, or one column per term when comparing
`averageInterest`	Average interest over the period
`interestByRegion`	`[{ geoCode, geoName, value }]` for countries, or states/regions when a country is set
`relatedQueries.top` / `.rising`	`[{ query, value, formattedValue }]`. Rising values can be "Breakout"
`relatedTopics.top` / `.rising`	`[{ title, type, mid, value }]`, included only when Google returns topic data
`googleTrendsUrl`	Opens the same view on Google Trends

Example input

{
  "searchTerms": ["bitcoin", "ethereum"],
  "compareTerms": true,
  "geo": "US",
  "timeRange": "past_90_days"
}

Use cases

SEO and content planning: find rising queries before they peak
Product and e-commerce research: seasonality, demand by region
Investing and market research: attention trends for brands, coins and stocks
AI agents: give Claude, ChatGPT or Cursor live trend data through the Apify MCP server

Pricing

$1.00 per 1,000 results (one result = one term, or one comparison group), plus a $0.002 start fee per run. For example, 10 keywords in one run cost about $0.012. There's no monthly fee, and a term that fails after retries costs nothing.

Reliability

Google Trends heavily rate-limits automated traffic. This Actor rotates proxy sessions and backs off automatically. If Google blocks every attempt for a term, that term is skipped and not charged.

Example: a weekly keyword trend report

Put your keywords in Search terms (one per line), choose a country and Past 12 months, then click Save as a new task.
In the task, open Schedules and add a weekly schedule.
Each run gives one result per keyword. Sort by averageInterest, or look at relatedQueries.rising to spot new searches early.
Add a Google Sheets, Slack or webhook integration on the task to get the results without opening Apify.

Support

Something broken or missing? Open an issue on the Issues tab. We check them regularly.

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