Google Trends Scraper

What does Google Trends Scraper do?

Google Trends Scraper extracts data from Google Trends: interest over time, interest by region, related queries and related topics for any keyword, compared with up to 4 others, in any country or region, for any time range, category and search property (web, YouTube, News, Images, Google Shopping). It can also return today's trending searches for a country, with their approximate search volume and the news articles behind them.

Enter your keywords, pick a location and time range, click Start, and download the data as JSON, CSV, Excel or HTML, or fetch it through the Apify API. Because it runs on the Apify platform, you can schedule it (for example, daily trending searches every morning), call it from your own code and connect it to Make, Zapier or Google Sheets.

Why use Google Trends Scraper?

• Market and product research. Compare the demand for brands, products or categories across countries and over years.
• SEO and content planning. Find rising queries (including "Breakout" ones) before they get competitive.
• Seasonality. Get the weekly or daily curve of any keyword to plan campaigns and inventory.
• News and trend monitoring. Track what a country is searching for today, with the related headlines.

No browser is involved: the Actor calls the same JSON endpoints the Google Trends website uses, which keeps runs fast and inexpensive. Requests are spread across proxy sessions and retried with exponential backoff when Google rate-limits (HTTP 429), switching from datacenter to residential IPs when needed, so a temporary block doesn't fail your run.

How to scrape Google Trends

1. Open the Actor and go to the Input tab.
2. Add up to 5 keywords to compare, for example coffee, tea.
3. Optionally set the location (BR, US, US-CA...; empty = worldwide), time range, category and search property.
4. Choose the sections you want.
5. Optionally enter a country in Daily trending searches.
6. Click Start. When the run finishes, open the Output tab or export the dataset.

Input

All fields are optional, but you need at least one keyword or a daily trending country.

Field	Type	Default	Description
keywords	string[]	none	Keywords to analyze. Up to 5 are compared together (values are relative to each other, like in the Google Trends UI). More than 5 are split into consecutive groups of 5.
geo	string	"" (worldwide)	ISO country or region code: BR, US, US-CA, DE, IN...
timeRange	string	today 12-m	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, or a custom range YYYY-MM-DD YYYY-MM-DD.
category	integer	0	Google Trends category ID (0 = all categories).
property	enum	"" (web)	youtube, news, images or froogle (Google Shopping).
include	string[]	["interestOverTime"]	Any of interestOverTime, interestByRegion, relatedQueries, relatedTopics.
dailyTrending	string	none	2-letter country code. Returns today's trending searches in that country.
proxyConfiguration	object	Apify Proxy (automatic)	Keep the default: the Actor starts on datacenter IPs and moves to residential IPs automatically when Google rate-limits. If you pick specific proxy groups, only those are used.

Example input:

{
    "keywords": ["coffee", "tea"],
    "geo": "BR",
    "timeRange": "today 12-m",
    "include": ["interestOverTime", "interestByRegion", "relatedQueries"],
    "dailyTrending": "BR"
}

Output

One item per keyword per section, plus one item per daily trending search. Values are Google's 0–100 relative scale.

Interest over time (series shortened; date is UTC):

{
    "keyword": "coffee",
    "comparedWith": ["tea"],
    "geo": "BR",
    "timeRange": "today 12-m",
    "category": 0,
    "property": "web",
    "section": "interestOverTime",
    "data": [
        { "date": "2025-09-28T00:00:00.000Z", "formattedTime": "Sep 28 – Oct 4, 2025", "value": 71, "hasData": true, "isPartial": false },
        { "date": "2026-09-27T00:00:00.000Z", "formattedTime": "Sep 27 – Oct 3, 2026", "value": 64, "hasData": true, "isPartial": true }
    ],
    "noData": false,
    "scrapedAt": "2026-09-29T14:45:42.688Z"
}

Interest by region: data is [{ "geoCode": "BR-SP", "geoName": "State of São Paulo", "value": 100, "hasData": true }, ...] (countries for worldwide, states/regions for a country, metro areas for a US state). The scale is per keyword, as on the keyword's own Google Trends page.

Related queries: data is { "top": [{ "query": "coffee shop", "value": 100, "formattedValue": "100", "link": "https://trends.google.com/trends/explore?q=..." }], "rising": [{ "query": "...", "value": 9000, "formattedValue": "Breakout", "link": "..." }] }.

Related topics: same shape, with topicId, title and type instead of query.

Daily trending search:

{
    "section": "dailyTrending",
    "geo": "BR",
    "rank": 1,
    "title": "lesoto x marrocos",
    "approxTraffic": "10000+",
    "approxTrafficMin": 10000,
    "pubDate": "2026-09-29T12:30:00.000Z",
    "picture": "https://encrypted-tbn3.gstatic.com/images?q=...",
    "pictureSource": "Lance!",
    "newsItems": [{ "title": "...", "snippet": null, "url": "https://...", "source": "Lance!", "picture": "https://..." }],
    "scrapedAt": "2026-09-29T14:45:50.828Z"
}

When Google has not enough data for a keyword, the item has "noData": true, an empty data and a note. These items are free. If a request still fails after all retries, the dataset gets an item like { "query": "coffee, tea", "error": "..." }, also free. The run fails only if every query failed.

Pricing

This Actor uses pay-per-event pricing: $0.002 per result (one keyword section, or one daily trending search). There is no start fee, and items without data or with errors are not charged. Example: 5 keywords × 3 sections = 15 results = $0.03.

You can cap spending with the run's maximum cost setting: the Actor stops cleanly when the limit is reached.

Limits and notes

• Values are relative (0–100), exactly as Google Trends shows them, not absolute search volumes. Keywords compared in one group share the same scale for interest over time.
• Related topics: Google Trends currently answers "not enough data" for related topics on most searches, including on its own website. The Actor requests them and returns them when Google does; otherwise you get a free noData item. Google doesn't provide related topics for compared keywords, so the Actor asks for each keyword alone (and stops asking for the rest of the run after 3 empty answers in a row).
• Daily trending searches come from Google's public trending feed: usually the 10–20 most recent trends of the country, not a full-day history.
• Labels and region names are in English.
• Google may change its internal endpoints at any time; the Actor is monitored and updated when that happens.

FAQ

Is it legal to scrape Google Trends? The Actor only collects aggregated, public statistics that Google shows to any visitor. It doesn't collect personal data. Check the rules that apply to your use case.

Why do my numbers differ slightly from the website? Google Trends samples its data, so values can shift by a few points between requests or days.

Can I get more than 5 keywords on the same scale? Put one common reference keyword in every group of 5 and rescale the groups against it.