Google Trends Tracker

What does Google Trends Tracker do?

Google Trends Tracker is an Apify Actor that extracts structured search trend data directly from Google Trends — no API key required. It monitors trending keywords across any timeframe (1 hour to all-time), returning interest-over-time scores, interest-by-region breakdowns, related topics, related queries, and today's hottest searches. The Actor uses the battle-tested pytrends library and automatically handles keyword batching and rate-limit delays, so you get clean, reliable data at scale.

Why use Google Trends Tracker?

This Google Trends tracker API turns a notoriously hard-to-automate data source into a simple, schedulable task. Key business use cases:

• Crypto and stock sentiment analysis — track search interest in bitcoin, ethereum, or any ticker to measure retail investor attention before price moves.
• SEO and content strategy — identify trending keywords in your niche and compare seasonal peaks across regions to time your content publication.
• Brand and competitor monitoring — compare your brand's search interest against competitors weekly and alert on sudden spikes.
• Market research — validate product demand by geography before launching. Know whether interest in your product is rising in the US, KR, JP, or EU.
• E-commerce trend forecasting — catch fashion, gadget, or viral product trends early using the rising related queries feed, then act before competitors do.

How to use Google Trends Tracker

1. Open the Actor on Apify Store and click Try for free.
2. Enter keywords — paste one or more search terms (e.g. ["bitcoin", "ethereum", "solana"]). More than 5 keywords are split into batches automatically.
3. Set the timeframe — choose from now 1-d, now 7-d, today 1-m, today 3-m, today 12-m, today 5-y, or all for historical data.
4. Pick a mode — interest_over_time for the time-series index, interest_by_region for geographic breakdown, related_topics / related_queries for keyword discovery, or trending_searches for today's hottest searches.
5. Optionally filter by country — enter a two-letter geo code (e.g. US, KR, JP) or leave blank for worldwide data.
6. Run and export — results appear in the dataset tab as flat JSON records, ready for download as JSON, CSV, or XLSX.

Input

Parameter	Type	Default	Description
keywords	string list	["bitcoin","ethereum","solana"]	Keywords to track. More than 5 are split into batches with automatic delays.
timeframe	string	today 3-m	Time range. Examples: now 1-d, now 7-d, today 1-m, today 3-m, today 12-m, today 5-y, all
geo	string	(empty = worldwide)	Country code filter, e.g. US, KR, JP, GB
mode	enum	interest_over_time	One of: interest_over_time, interest_by_region, related_topics, related_queries, trending_searches
category	integer	0	Google Trends category ID (0 = All categories)
resolution	enum	COUNTRY	Geographic resolution for interest_by_region mode: COUNTRY, REGION, CITY, DMA

Example input — crypto interest over last 3 months in the US:

{
  "keywords": ["bitcoin", "ethereum", "solana"],
  "timeframe": "today 3-m",
  "geo": "US",
  "mode": "interest_over_time"
}

Output

Each dataset item is a flat JSON record. Fields vary by mode:

interest_over_time

[
  { "keyword": "bitcoin", "date": "2026-08-01", "value": 72, "is_partial": false },
  { "keyword": "ethereum", "date": "2026-08-01", "value": 41, "is_partial": false }
]

interest_by_region

{ "keyword": "bitcoin", "geoName": "United States", "geoCode": "US", "value": 100 }

related_queries

{ "keyword": "bitcoin", "query_type": "rising", "query": "btc price today", "value": 5000 }

trending_searches

{ "geo": "united_states", "title": "Federal Reserve", "traffic": "", "date": "2026-09-02" }

Data fields

Field	Type	Description
keyword	string	The search term tracked
date	string	Date of the data point (YYYY-MM-DD)
value	integer	Relative interest index (0–100). 100 = peak popularity for that period
is_partial	boolean	true if the data point covers an incomplete period
geoName	string	Region name (for interest_by_region mode)
geoCode	string	ISO country/region code
query_type	string	top (highest volume) or rising (breakout growth)
query	string	The related search query
topic_title	string	Related topic display name
topic_type	string	Topic classification (e.g. Topic, Brand)
geo	string	Country slug (for trending_searches mode)
title	string	Trending search term title

Cost estimation

This Actor uses Pay-Per-Event (PPE) pricing — you only pay for data actually returned.

Event	Price	Notes
Actor start	$0.005	Charged once per run
Per data record	$0.002	Charged per item returned

Typical run	Records	Estimated cost
3 keywords × 90 days (interest_over_time)	~270	~$0.55
5 keywords, related_queries	~50	~$0.11
trending_searches (one country)	~20	~$0.05
10 keywords × 365 days	~3,650	~$7.31

FAQ

Does this Actor require a Google or Google Cloud API key? No. The Actor uses pytrends, an unofficial Python wrapper for Google Trends. No API key, account, or login is required.

Why are values between 0 and 100 instead of absolute search volumes? Google Trends data is relative — 100 represents the peak search interest for the selected term and time period, not an absolute count. All other values are scaled proportionally to that peak.

Can I track more than 5 keywords at once? Yes. The Actor automatically splits keywords into batches of 5 and adds a 2-second delay between requests to reduce throttling risk. You can safely pass 20–50 keywords in a single run.

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Disclaimer: This Actor uses an unofficial Google Trends wrapper. Google may change its internal API at any time. If results suddenly stop returning, check the pytrends GitHub for updates or contact the Actor author.

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Keywords: Google Trends, search interest tracker, keyword comparison, trending topics, regional trends, related queries, SEO research, market research, crypto sentiment Google Trends, stock trends, keyword monitoring, Google Trends API, search volume tracker