Google Trends Rising Queries Scraper API - Breakouts
Pricing
from $5.00 / 1,000 keyword reports
Catch searches while they are still climbing. This pulls the rising and breakout related queries for a keyword on Google Trends - the ones growing fastest, before they peak - in one run and one schema, with optional flat rows for a CSV. Built for spotting momentum early. Failures are free.
Explore turns each keyword into a full report: interest over time, interest by region, related queries and (where Google provides them) related topics. Trending Now returns the currently trending searches for a country, with search volume and news.
One search term per line - or a Google topic id such as /m/05p0rrx (Bitcoin) for a concept rather than a phrase. Each keyword becomes one report per country and time range. Used in Explore mode.
[ "chatgpt", "claude ai"]Off: each keyword is measured on its own 0-100 scale. On: keywords are compared in groups of up to five in a single request, so their values share one scale and are directly comparable - each report then lists the others it was compared with.
Leave empty for worldwide. An ISO country code like US or GB, or a subregion like US-CA. Used in Explore mode.
Optional. One country or region code per line to run every keyword against several places in one go - each place is a separate report. Overrides the single country field above when set.
[]The window each interest-over-time series covers. Google picks the bucket size (hour, day, week, month) from the span. Choose Custom to give your own dates below.
Only used when Time range is Custom. Two dates as YYYY-MM-DD YYYY-MM-DD, for example 2024-01-01 2024-06-30. An unusable range is reported as a free row rather than quietly replaced with a default.
Google Trends category id to narrow the topic - 0 means all categories. For example 5 is Computers & Electronics. Leave at 0 unless you know the id you want.
Which Google surface to measure interest on: web search, Images, News, YouTube or Shopping.
How finely to break interest down by place: whole countries, subregions/states, metro areas (US only), or cities. City data is precise but sparse - Google returns it for only a handful of places, and empty places are left out.
Add the interest-by-place breakdown to each report. Turning a section off shortens the run but never changes the price - one report is one report.
Add the top and rising related searches to each report, with breakout terms flagged. This is the section most buyers want.
Add related topics (Knowledge Graph entities) where Google provides them. Off by default because the related-topics section was empty in every session we measured; when it is empty the report says so rather than inventing rows.
How many entries to keep from each related list (top and rising). Google returns up to 25.
In addition to the bundled report, emit one free flat row per timeline point, region, related query and related topic - handy for a tidy CSV. Child rows are never charged; the bundled report is the billed unit.
One country code per line. Trending Now returns the currently trending searches for each. Used in Trending Now mode.
[ "US"]How far back the trending list reaches: the last 4, 24, 48 or 168 hours (7 days). A longer window returns more terms.
Attach the latest news headlines, links, sources and timestamps to each trending term.
Locale for place names and text labels, such as en-US or de. Times are always reported in UTC.
For a schedule. Trending Now: a term already delivered by an earlier run of this feed is skipped and not charged again. Explore: a report billed by this feed in the last 12 hours is skipped, so a daily 12-month run re-bills each day by design - the snapshot moved.
Names the memory used by 'only new since the last run'. Give two schedules two different names and they track separately; leave it empty to share one feed.
A hard ceiling on billable reports across the whole run. Explore mode only.
A hard ceiling on billable trending terms across the whole run. Trending Now mode only.