Google Trends Scraper

Get Google Trends data for many keywords in one run: interest over time, interest by country or state, top and rising related searches, and ready-made trend metrics such as rising or falling, % change, peak and busiest month. Compare any number of keywords on one shared scale, not just the 8 the Google Trends website allows (5 in classic Explore).

• ✅ Many keywords per run. Paste 3 or 300 keywords; each one becomes a clean result.
• ✅ Compare 10, 50 or 100+ keywords on one scale. Shared-scale mode links groups of keywords so all values are comparable, with a "share of search" for each keyword.
• ✅ Trend metrics included. Average, latest, peak, trend direction, % change and busiest month, so you don't have to compute them yourself.
• ✅ Rising searches and breakouts. The top and rising related queries for every keyword.
• ✅ Fast and light. Plain HTTP requests, no browser. A run with a few keywords takes seconds.

What data do you get?

One result per keyword:

Field	Example	Notes
keyword	matcha
location, timeRange, searchType, category	US, today 12-m, web, 0	What the numbers are for
averageInterest, latestInterest, peakInterest, peakDate	75.4, 62, 100, 2026-04-05	On the 0-100 Google Trends scale
trend, trendChangePercent	rising, 28.7	Last quarter of the period compared with the first quarter (±10% counts as stable)
busiestMonth	April	Month with the highest average interest (periods of about a year or longer)
shareOfSearch	38.2	Shared scale only: the keyword's share of all interest in the run, in %
interestOverTime	[{ "date": "2025-10-05", "value": 61, "partial": false }, ...]	The full time series; partial: true marks the unfinished last week or day
interestByRegion	[{ "code": "US-WY", "name": "Wyoming", "value": 100 }, ...]	Countries for worldwide searches, states or regions within a country
relatedQueriesTop	[{ "query": "matcha latte", "value": 100 }, ...]	Most searched related queries
relatedQueriesRising	[{ "query": "kfc matcha", "change": "+750%", "increasePercent": 750, "breakout": false }, ...]	Fastest growing related queries; "Breakout" means more than +5,000%
scale	own / shared	How to compare the values (see below)
googleTrendsUrl, scrapedAt		Open the same search on Google Trends

Own scale or shared scale?

• Own scale (default): every keyword gets its own 0-100 curve, where 100 is that keyword's peak. Best to see how each keyword develops over time.
• Shared scale: all keywords in the run are compared with each other, like the compare view on Google Trends, but for any number of keywords. 100 is the highest point of the most searched keyword. Best to answer "which keyword is searched more?". Google's Trends API compares at most 5 keywords per request (the website shows up to 8), so the scraper links groups of 5 through their most searched keyword.

How to use it

1. Enter your keywords, one per line.
2. Pick the scale, time range and location (empty = worldwide).
3. Click Start and download the results as JSON, CSV or Excel, or use the API.

Input example

{
    "keywords": ["python", "javascript", "rust", "go", "kotlin", "typescript"],
    "comparison": "shared",
    "timeRange": "today 5-y",
    "geo": "",
    "category": 0
}

Output example

{
    "keyword": "matcha",
    "geo": "US",
    "location": "US",
    "timeRange": "today 12-m",
    "category": 0,
    "searchType": "web",
    "scale": "own",
    "averageInterest": 75.4,
    "latestInterest": 62,
    "latestDate": "2026-09-27",
    "peakInterest": 100,
    "peakDate": "2026-04-05",
    "trend": "rising",
    "trendChangePercent": 28.7,
    "busiestMonth": "April",
    "shareOfSearch": null,
    "interestOverTime": [
        { "date": "2025-10-05", "value": 58, "partial": false },
        { "date": "2025-10-12", "value": 61, "partial": false }
    ],
    "interestByRegion": [{ "code": "US-HI", "name": "Hawaii", "value": 100 }],
    "relatedQueriesTop": [{ "query": "matcha latte", "value": 100 }],
    "relatedQueriesRising": [{ "query": "kfc matcha", "change": "+750%", "increasePercent": 750, "breakout": false }],
    "googleTrendsUrl": "https://trends.google.com/trends/explore?q=matcha&date=today+12-m&hl=en&geo=US",
    "scrapedAt": "2026-10-10T18:18:12.000Z"
}

Pricing

You pay per keyword result, plus a tiny fee per run start. There is no monthly rental, and keywords that fail cost nothing. The exact price for your Apify plan is on the Pricing tab. For example, 100 keywords cost well under one dollar.

To cap spending, set a maximum cost per run in the run options. The scraper stops cleanly when it reaches your limit.

Tips

• Ambiguous keywords: "go", "swift" or "java" are also everyday words. Set a category (for example 31 = Programming, 71 = Food & Drink) to narrow them down.
• Track trends over time: schedule a weekly run and compare latestInterest and trend between runs.
• Market research: use the shared scale with a list of competitors or products and sort by shareOfSearch.
• Content ideas: relatedQueriesRising shows what people have started searching for recently.

Use it as an API, from Python or from AI tools

Every run is also an API call. From Python, with the official Apify client:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("ralfij/google-trends-scraper").call(
    run_input={"keywords": ["python", "rust", "go"], "comparison": "shared", "timeRange": "today 5-y"}
)
for row in client.dataset(run.default_dataset_id).iterate_items():
    print(row["keyword"], row["averageInterest"], row["trend"], row["shareOfSearch"])

More Python examples, plus a tutorial on how Google Trends data works and how to compare more keywords than Google allows, are on GitHub: RalfIJ/google-trends-api.

To let an AI assistant such as Claude, Cursor or VS Code look up Google Trends for you, add this MCP server URL in its settings: https://mcp.apify.com?tools=ralfij/google-trends-scraper

FAQ

Is there an official Google Trends API? Google announced one in July 2025, but it is an alpha with limited, application-based access. This actor works today for anyone and returns the same scaled interest values as the Google Trends website.

Is this a pytrends alternative? Yes. pytrends was archived in April 2025 and often fails with "429 Too Many Requests" errors. This actor handles Google's session cookies and rotates IP addresses for you, and you can call it from Python with the snippet above.

Is it free to try? Yes. Apify's free plan includes $5 of credit every month, with no credit card needed. That covers more than 2,000 keywords at the standard price.

How accurate is the shared scale for many keywords? It uses the same numbers Google returns, linked through the most searched keyword of each group. Google rounds to whole numbers, so very small keywords next to very large ones can show as 0. Compare keywords of a similar size for the best precision.

Why are related topics not included? Google does not return related topics to automated requests. Related queries (top and rising) are included.

Why do rising queries include unrelated searches? Sometimes Google's own data does. In October 2026, the top rising searches for "coffee" in the US included "sports scores today" and "pet care tips", and the Google Trends website showed exactly the same list. The actor returns what Google shows, so filter out what you don't need.

Which time zone are the dates in? UTC.

Which locations work? Worldwide (leave the location empty), any country code (US, GB, DE, IN, NL...) and regions such as US-CA.

Is scraping Google Trends legal? This actor reads publicly available, aggregated search interest. It does not log in anywhere and collects no personal data. You are responsible for how you use the data.

Something broke. What should I do? Open an issue on the Issues tab with your input, and it will be looked at quickly.

Did it save you time? A short review on the Reviews tab helps other people find it.

This actor is not affiliated with, endorsed by or sponsored by Google. Google Trends is a trademark of Google LLC.