Google Trends Scraper: Trending Now & Regions

What does Google Trends Scraper do?

Google Trends Scraper replaces the broken pytrends workflow: it talks to Google Trends' own data endpoints, so a keyword with a year of history returns in about 15 seconds with no browser, Google account or CAPTCHA, and Apify Proxy rotation absorbs Google's rate limits. It also exposes the Trending Now feed for any country, which has no official API at all.

Output rows are typed by type: interestOverTime (date, value, isPartial), interestByRegion (geo code, name, value), relatedQuery / relatedTopic (query, value, rising vs top), suggestion and trending (title, traffic, started, related queries, news articles) — each tagged with keyword, geo and timeframe. Export JSON/CSV, call the REST API, or schedule hourly Trending Now runs and forward new entries to Slack or a dashboard.

Why use Google Trends Scraper?

• Market and product research: track demand for products, brands or topics across countries and time.
• SEO and content planning: discover rising related queries before they peak; compare keyword demand in one run.
• Trend monitoring and alerts: schedule hourly runs of Trending Now for any country and push new trends to Slack or a dashboard.
• Investment and brand tracking: build long-term time series for tickers, companies or competitors.
• Data science: clean numeric rows (0–100 index, dates in ISO format) that drop straight into pandas or BI tools.

How to scrape Google Trends

1. Enter one or more keywords (each is scored independently; switch on Compare keywords for the classic side-by-side comparison of up to 5).
2. Choose a location (US, GB, KR, US-CA, or empty for worldwide) and a timeframe (today 12-m, now 7-d, today 5-y, all, or a date range).
3. Tick which data you need: interest over time, interest by region (with resolution), related queries, related topics, suggestions, Trending Now.
4. Click Start. Results appear in the Dataset tab; download or fetch them via API.

Input

Field	Default	Description
keywords	["chatgpt", "claude ai"]	Search terms
compareKeywords	false	Compare keywords on one shared scale (groups of 5)
geo	"" (worldwide)	Country/region code
timeframe	today 12-m	Any Google Trends timeframe or YYYY-MM-DD YYYY-MM-DD
category	0	Google Trends category ID
searchType	web	web, images, news, youtube, froogle
includeInterestOverTime	true	Row per date
includeInterestByRegion	true	Row per region; regionResolution = COUNTRY / REGION / CITY / DMA
includeRelatedQueries	true	Top + rising related searches
includeRelatedTopics	false	Often empty (Google serves topics only to signed-in sessions)
includeSuggestions	false	Autocomplete entities
trendingNow	false	Live Trending Now list for trendingGeo over trendingHours (4/24/48/168)
proxyConfiguration	Apify Proxy on	Keep on: Google Trends rate-limits single IPs quickly

Example:

{
  "keywords": ["electric bike", "e-scooter"],
  "compareKeywords": true,
  "geo": "GB",
  "timeframe": "today 5-y",
  "regionResolution": "CITY"
}

Output

One row per data point. Examples:

{ "type": "interestOverTime", "keyword": "electric bike", "date": "2026-06-07T00:00:00Z", "value": 87, "isPartial": false, "geo": "GB", "timeframe": "today 5-y" }
{ "type": "interestByRegion", "keyword": "electric bike", "geoCode": "GB-ENG", "geoName": "England", "value": 100, "resolution": "REGION" }
{ "type": "relatedQuery", "keyword": "electric bike", "kind": "rising", "rank": 1, "query": "electric bike conversion kit", "value": 250, "formattedValue": "+250%", "isBreakout": false }
{ "type": "trending", "geo": "US", "hours": 24, "rank": 3, "title": "nfl scores", "searchVolume": 500000, "increasePct": 1000, "startedAt": "2026-09-13T17:00:00Z", "isActive": true, "categories": ["Sports"] }

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Type	Fields
interestOverTime	keyword, date, formattedTime, value (0–100), hasData, isPartial
interestByRegion	keyword, geoCode, geoName, resolution, value, coordinates (cities)
relatedQuery / relatedTopic	keyword, kind (top/rising), rank, query or title, value, formattedValue, isBreakout, link
suggestion	keyword, title, topicType, mid
trending	title, searchVolume, increasePct, startedAt, endedAt, isActive, breakdownKeywords, categories

Every row also carries geo, timeframe, category, searchType and, in compare mode, comparisonGroup.

How much does it cost to scrape Google Trends?

Pricing is pay per event: a small fee per keyword and per row. A typical keyword (12 months, regions, related queries) produces about 50 time points, 50 regions and 50 related queries and takes 10–15 seconds. Switch off the data types you do not need to keep runs cheap; the Actor stops when your run's maximum charge is reached.

Tips

• Values are relative (0–100 within each request). Use Compare keywords when you need keywords on the same scale; leave it off to get each keyword's own curve.
• now 7-d and shorter timeframes return hourly points; today 5-y returns weekly; all returns monthly.
• For city-level data set regionResolution to CITY and a country as geo.
• Schedule the Actor with trendingNow on and trendingHours = 4 to get fresh breakout trends every few hours.
• Google Trends throttles aggressively. The Actor spaces requests, retries with backoff and rotates proxy IPs; very large keyword lists (hundreds) may still hit limits — split them across runs.

FAQ and disclaimers

Are these absolute search volumes? No. Google Trends publishes a normalized 0–100 index; Trending Now provides bucketed search volumes (e.g. 500K+).

Why are related topics empty? Google only returns related topics to signed-in browser sessions; related queries are unaffected.

Is it legal? The Actor collects data Google publishes openly on trends.google.com. You are responsible for how you use it and for complying with applicable laws and Google's terms. This is an unofficial tool, not affiliated with Google.

Something broke? Google changes Trends internals occasionally. Open an issue in the Issues tab with your input and it will be fixed quickly. Custom features (alerts, keyword sets, historical backfills) are available on request.