TrendSnap: Fast Google Trends Scraper & API

TrendSnap gets you Google Trends data as clean JSON, CSV or Excel, without a browser, so a lookup takes seconds instead of minutes. A fast, pay-per-result Google Trends API alternative (Google's official API is still a limited alpha, by application) and a pytrends alternative (the pytrends library is archived and no longer maintained), including trending searches by country.

What you get

• Interest over time: the Trends chart as data points, for any time range from the past hour to 2004-present, or exact dates.
• Keyword comparison: up to 5 terms on one chart, just like the Trends website, e.g. chatgpt, claude, gemini.
• Interest by region: countries, states, cities or US metro areas, side by side for every compared term.
• Related queries: top and rising searches for each term, including "Breakout" terms.
• Trending now: the full Google Trends "Trending now" list, hundreds or thousands of trends per country or region (e.g. 3,000+ for the US over 7 days), with search volume, growth %, start and end time, categories, related searches and news links. Filter by time window (4 h, 24 h, 48 h, 7 days), category and active status.
• Bulk: hundreds of keywords in one run, processed in parallel.
• Search types: web, image, news, Google Shopping and YouTube search.

Why this scraper

• Finishes. No browser and no page rendering: hundreds of keywords in minutes, and every run ends with a status line saying what was charged, what had no data and what failed.
• No per-run fee, nothing for failures. You pay per keyword or comparison that returns data, or per trending country. When Google throttles heavily a few lookups can still fail after retries from new IPs; those, and terms without data, cost nothing.
• The full Trending Now list. Hundreds to thousands of trends per country or region, with search volume, growth, categories and related searches, filterable by time window and category.
• Compare like the website. Up to five terms on one chart, interest by region, top and rising related queries, or paste a trends.google.com URL as-is.
• Safe to automate. If Apify restarts a run, it resumes without duplicate rows or double charges, and every row carries its position in your input (jobId).

How to use it

1. Add your keywords under Search terms, one per line. Put several terms on one line, separated by commas, to compare them.
2. Optionally pick a Region, Time range, Category and Search type.
3. Click Start. Download results as JSON, CSV, Excel or HTML, or fetch them through the Apify API.

Example input

{
    "searchTerms": ["chatgpt, claude, gemini", "bitcoin"],
    "geo": "US",
    "timeRange": "today 3-m",
    "trendingNowCountries": ["US", "IN", "US-CA"],
    "trendingHours": "24",
    "trendingCategories": ["Sports", "Technology"],
    "trendingActiveOnly": true
}

Example output (one comparison)

{
    "jobId": 197,
    "type": "keywords",
    "searchTerms": [
        "nike",
        "adidas"
    ],
    "geo": "US",
    "timeRange": "today 12-m",
    "category": 0,
    "searchType": "web",
    "trendsUrl": "https://trends.google.com/trends/explore?date=today+12-m&q=nike%2Cadidas&geo=US",
    "interestOverTime": [
        {
            "date": "2026-10-18T00:00:00.000Z",
            "label": "Oct 18 – 24, 2026",
            "values": {
                "nike": 40,
                "adidas": 14
            },
            "isPartial": false
        }
    ],
    "averages": {
        "nike": 53,
        "adidas": 23
    },
    "regionResolution": "REGION",
    "interestByRegion": [
        {
            "geoCode": "US-WY",
            "geoName": "Wyoming",
            "values": {
                "nike": 58,
                "adidas": 42
            }
        }
    ],
    "relatedQueries": {
        "nike": {
            "top": [
                {
                    "query": "shoes",
                    "value": 100,
                    "formattedValue": "100",
                    "link": "https://trends.google.com/trends/explore?q=shoes&date=today+12-m&geo=US"
                }
            ],
            "rising": [
                {
                    "query": "nike mind slides",
                    "value": 12300,
                    "formattedValue": "Breakout",
                    "link": "https://trends.google.com/trends/explore?q=nike+mind+slides&date=today+12-m&geo=US"
                }
            ]
        }
    },
    "hasData": true,
    "scrapedAt": "2026-10-28T16:16:04.411Z"
}

The real output has every weekly point, up to 51 US regions (the 50 states and DC) and up to 25 top and 25 rising queries per term; it is shortened here. jobId is the position of the lookup in your input.

Example output (trending now)

{
    "type": "trendingNow",
    "geo": "US",
    "timeWindow": "Past 24 hours",
    "hours": 24,
    "filters": { "categories": ["Sports"], "activeOnly": true, "sortBy": "searchVolume", "maxItems": 0 },
    "source": "trendingNow",
    "totalAvailable": 537,
    "count": 35,
    "trendingSearches": [
        {
            "rank": 1,
            "term": "dallas cowboys vs philadelphia eagles",
            "searchVolume": 1000000,
            "searchVolumeFormatted": "1M+",
            "increasePercentage": 500,
            "startedAt": "2026-10-26T23:50:00.000Z",
            "endedAt": null,
            "isActive": true,
            "categories": ["Sports"],
            "relatedQueries": ["dallas cowboys vs philadelphia eagles", "dallas cowboys", "cooper dejean", "cowboys"],
            "trendsUrl": "https://trends.google.com/trends/explore?q=dallas+cowboys+vs+philadelphia+eagles&geo=US&date=now+1-d"
        }
    ]
}

Each country or region is one trending result, however many trends it contains. For one row per trend (best for CSV/Excel), open the Trending (one row per trend) table on the Output tab and export it, or add unwind=trendingSearches to the dataset items API URL. There is no extra charge from TrendSnap: each country is still one result. The biggest trends also include news (title, URL, source).

The full trending list comes from an undocumented Google endpoint. If Google changes it, TrendSnap falls back to Google's short RSS list (about 10–20 trends, "source": "rss"), does not charge for it, and says so in the run's status message.

Good to know

• Values are relative, as on the Trends website: 100 is the peak popularity for the chosen terms, region and period. Compare terms in one entry to get them on the same scale.
• Rising queries show percentage growth; "Breakout" means growth above 5000%.
• Region detail: cities and metro areas are only available within a country (set a Region).
• Low-volume terms may return no data; the result then has "hasData": false and is not charged.
• Partial data: if Google withholds region or related-query data for a term, the result keeps the chart data and lists what is missing in warnings.
• Same term, different regions: when a Trends URL compares one term across regions (e.g. q=bitcoin,bitcoin&geo=US,IN), values are keyed as "bitcoin (US)" and "bitcoin (IN)", listed in seriesLabels.
• Safe restarts: every row carries a jobId. If Apify restarts a run (for example when moving it to another server), lookups that were already saved are skipped, so they are not duplicated or charged twice.
• Trending now regions: besides countries, many sub-regions work too (e.g. US-CA, IN-MH). News links come from Google's country feeds and may be missing for sub-regions.
• Related topics are not included: Google returns them empty to automated requests.

Pricing

You pay per result, with lower prices on higher Apify plans. Platform usage is included.

Result	Free plan	Starter	Scale	Business+
Keyword or comparison lookup	$0.0025	$0.002	$0.0015	$0.001
Trending now, per country or region (up to thousands of trends)	$0.01	$0.008	$0.006	$0.005

Failed lookups, terms without data and trending lookups that fell back to the short RSS list are not charged.

Use it from your code

Run TrendSnap through the Apify API with the official clients. Get your API token from your Apify account settings.

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("spidyshivam/google-trends-scraper").call(run_input={
    "searchTerms": ["chatgpt, claude, gemini", "bitcoin"],
    "geo": "US",
    "timeRange": "today 3-m",
})
if run is None:
    raise RuntimeError("Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    if not item.get("error"):
        print(item["searchTerms"], item["averages"])

JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('spidyshivam/google-trends-scraper').call({
    trendingNowCountries: ['US', 'IN'],
    trendingHours: '24',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const country of items.filter((i) => !i.error)) {
    console.log(country.geo, country.trendingSearches.slice(0, 5).map((t) => t.term));
}

Integrations and scheduling

• Track keywords every week in Google Sheets: save your keyword list as a Task and add a weekly Schedule. On the Integrations tab, add an Actor integration with the Store Actor Google Sheets Import & Export to send each run's results to your sheet. Keyword rows contain every weekly data point, so import only searchTerms and averages if you want one compact row per keyword.
• Works with Make, Zapier and n8n, with webhooks, and with any scheduler or orchestrator through the API.
• AI agents can call TrendSnap through Apify's MCP server: https://mcp.apify.com?tools=spidyshivam/google-trends-scraper.

If TrendSnap saves you time, a short review on this page helps others find it.

Is scraping Google Trends legal?

This Actor collects aggregated, anonymous search-interest statistics and Google's public list of trending searches. Trending terms can include the names of public figures; no data about individual searchers or users is collected. Automated access may conflict with Google's terms of service: check that your use complies with them and with your local laws.