Google Trends Bulk Scraper

Get Google Trends data for hundreds of keywords in one run: interest over time, interest by region, related queries, keyword comparisons and Trending Now searches. Export to JSON, CSV or Excel, or call it from your code.

You only pay for queries that succeed. If Google blocks a query and every retry fails, it is reported in the results and not charged.

Why use this Actor?

• 📦 Bulk by default. Paste a list of keywords and get them all back in one dataset.
• ⚖️ Comparisons. Compare up to 5 terms on the same 0-100 scale, like the Compare button on Google Trends.
• 🏆 Rank hundreds of keywords on one scale. Google Trends stops at 5 terms per comparison. Turn on Compare all search terms on one scale and the Actor links many comparisons through an anchor term, so all your keywords share one 0-100 scale and get a rank.
• 🗺️ All the data on the Explore page. Interest over time, by country, subregion, city or US metro area, plus related queries and topics.
• 🔥 Trending Now. Today's trending searches for any country, with approximate search volume and news links.
• 📊 Spreadsheet-ready output. Choose the Flat format to get one row per data point with the same columns everywhere.
• 🛡️ Built for reliability. Each parallel session uses its own proxy IP and cookies. When Google blocks a query on a datacenter IP, the Actor retries it through residential proxies automatically, at no extra cost to you.
• ⚡ Fast. In our tests on 20 October 2026, 101 queries with 3 data types each finished in 1-3 minutes with 100% success.
• 🔁 Blocked queries get a second chance. Queries that Google blocks during the run are tried again at the end, so a short blocking wave does not cost you results.

What data can you get?

Data	What it is
Interest over time	Search interest (0-100) per hour, day, week or month in the chosen time range
Interest by region	Search interest per country, subregion, city or US metro area (DMA)
Related queries	Top and rising searches related to each term, including Breakout terms
Related topics	Top and rising topics related to each term (see limitations)
Comparison averages	Average interest of each term in a comparison group
Trending Now	Trending searches in a country, with approximate traffic, picture and news articles

How to use it

1. Enter your search terms, one per line. Each term is one query.
2. Optionally add comparison groups, for example bitcoin, ethereum, solana. Each group is one query.
3. Pick a location code such as US or VN (leave empty for worldwide), a time range and the data types you want.
4. Click Start. When the run finishes, download the results or connect them to your tools.

For daily trending searches, switch Mode to Trending Now and enter country codes.

Compare hundreds of keywords on one scale

Google Trends compares at most 5 terms at a time, and gives every comparison its own 0-100 scale. A 40 in one comparison and a 40 in another do not mean the same popularity.

Turn on Compare all search terms on one scale to fix that:

1. The Actor splits your search terms into groups of 4 and adds the same anchor term to every group.
2. The anchor's real popularity is the same everywhere, so the Actor uses it to bring all groups to one scale.
3. Every term gets values on a common 0-100 scale (100 = the highest point of all terms), an averageInterest and a rank.

{
    "searchTerms": ["netflix", "disney plus", "hulu", "hbo max", "peacock", "paramount plus", "youtube tv", "sling", "fubo"],
    "compareAllTerms": true,
    "anchorTerm": "hulu",
    "geo": "US",
    "timeRange": "today 12-m"
}

Each result item includes rank, averageInterest, interestOverTime on the common scale, anchorTerm, groupTerms (the terms Google compared together) and precisionWarning. The All terms on one scale view of the dataset (also the Ranking link in the run's Output tab) shows the ranking as a table.

Choosing the anchor term. Pick a term of medium popularity compared with your other terms. Leave it empty to use the first search term.

• If the anchor is tiny next to a group's terms, Google rounds it to almost 0 and that group loses precision.
• Terms that are much less popular than their group get rounded heavily, too.

In both cases the item has a precisionWarning that explains why, so you know which numbers to treat with care.

Use specific search terms. Google counts every search that contains the words, so max also counts searches like "iphone pro max" and "air max". Use hbo max instead.

Checked against Google itself. On 21 October 2026 we ran the 9 US streaming services above and compared terms from different groups directly in Google Trends: the Actor's values were within 1 point of Google's own comparison.

Cost. Each group of 4 terms counts as one query, so 100 terms cost 25 queries.

Input example

{
    "searchTerms": ["bitcoin", "ethereum", "solana"],
    "comparisonGroups": ["iphone, samsung galaxy, google pixel"],
    "geo": "US",
    "timeRange": "today 12-m",
    "includeInterestOverTime": true,
    "includeInterestByRegion": true,
    "includeRelatedQueries": true,
    "outputFormat": "nested",
    "proxyConfiguration": { "useApifyProxy": true }
}

Output example

Nested format (one item per query, shortened):

{
    "searchTerm": "bitcoin",
    "comparisonGroup": null,
    "geo": "US",
    "timeRange": "today 12-m",
    "category": 0,
    "searchType": "web",
    "interestOverTime": [
        { "date": "2025-10-19", "timestamp": 1760832000, "formattedTime": "Oct 19 – 25, 2025", "isPartial": false, "value": 32, "hasData": true }
    ],
    "averages": null,
    "interestByRegion": [
        { "geoName": "Wyoming", "geoCode": "US-WY", "value": 100 }
    ],
    "relatedQueries": {
        "top": [{ "query": "bitcoin price", "value": 100, "formattedValue": "100", "isBreakout": false, "link": "https://trends.google.com/trends/explore?q=bitcoin+price&date=today+12-m&geo=US" }],
        "rising": [{ "query": "how to buy bitcoin safely", "value": 9450, "formattedValue": "Breakout", "isBreakout": true, "link": "https://trends.google.com/trends/explore?q=how+to+buy+bitcoin+safely&date=today+12-m&geo=US" }]
    },
    "relatedTopics": null,
    "trendsUrl": "https://trends.google.com/trends/explore?q=bitcoin&date=today%2012-m&geo=US",
    "warnings": [],
    "scrapedAt": "2026-10-19T14:00:00Z",
    "status": "success",
    "error": null
}

In a comparison group, interestOverTime[].values and interestByRegion[].values hold one number per term, for example {"bitcoin": 32, "ethereum": 6, "solana": 4}.

Flat format (one row per data point, same columns in every row):

rowType	searchTerm	geo	date	regionName	rankType	query	value
interestOverTime	bitcoin	US	2025-10-19				32
interestByRegion	bitcoin	US		Wyoming			100
relatedQuery	bitcoin	US			rising	how to buy bitcoin safely	9450

Trending Now items:

{
    "geo": "US",
    "rank": 1,
    "title": "example trend",
    "approxTraffic": "20000+",
    "approxTrafficMin": 20000,
    "publishedAt": "2026-10-19T14:20:00Z",
    "picture": "https://...",
    "pictureSource": "Example News",
    "newsItems": [{ "title": "...", "url": "https://...", "source": "Example News", "picture": "https://...", "snippet": null }]
}

Pricing

This Actor uses pay-per-event pricing. See the Pricing tab for current prices.

• Query processed: charged once for each search term or comparison group that succeeds, no matter how many data types you selected. With Compare all search terms on one scale, each group of 4 terms counts as one query.
• Trending search: charged once for each Trending Now item.

Failed queries are never charged. Set a maximum cost per run, and the Actor stops cleanly when it is reached.

Tips

• Values are relative, not search volumes. 100 is the peak for that query; 50 means half as popular. Google calculates the scale for each query separately, so to compare terms on one scale put them in the same comparison group.
• Google samples its data, so numbers can differ slightly between runs and from the website.
• Proxies matter. Google rate-limits by IP address. Keep the proxy and Switch to residential proxies when blocked enabled. If queries still fail, lower Parallel sessions.
• Partial periods. The last point is often isPartial: true because the period is not over yet.

Limitations

• This is an unofficial tool. It is not affiliated with or endorsed by Google, and Google can change its website at any time.
• Related topics are often returned empty by Google, and Google does not provide them for comparison groups. The Actor adds a warning when that happens.
• Trending Now returns the list Google publishes in its RSS feed, usually about 10 searches per country.
• A comparison group can contain at most 5 terms, and its terms cannot contain commas: the comma separates the terms, as on Google Trends.
• Compare all search terms on one scale supports interest over time only. Its values are as precise as Google's rounding allows. Google also samples its data, so single points can move by a few points between runs; averages and ranks are more stable.
• City and metro-area breakdowns need a location; metro areas (DMA) exist only for the United States.

FAQ

Why are some values 0? Google shows 0 when there is not enough search volume for that term, place or time.

What does "Breakout" mean? A rising query grew by more than 5,000%. The exact number is in value.

Is it legal to scrape Google Trends? This Actor only collects public, aggregated statistics shown on the Google Trends website and no personal data. You are responsible for how you use the data; check the terms that apply to you, and consult a lawyer if you are unsure.

Can I call it from my code? Yes. Replace <TOKEN> with your Apify API token.

Python:

from apify_client import ApifyClient

client = ApifyClient("<TOKEN>")
run = client.actor("cornflower_vision/google-trends-scraper").call(run_input={"searchTerms": ["bitcoin"], "geo": "US"})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["searchTerm"], item["interestOverTime"][-1])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<TOKEN>' });
const run = await client.actor('cornflower_vision/google-trends-scraper').call({ searchTerms: ['bitcoin'], geo: 'US' });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL (waits for the run and returns the items):

curl -X POST "https://api.apify.com/v2/acts/cornflower_vision~google-trends-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer <TOKEN>" -H "Content-Type: application/json" \
  -d '{"searchTerms": ["bitcoin"], "geo": "US"}'

Something does not work. Open an issue on the Issues tab with the run link. Run statistics (requests, rate-limit hits, retries) are saved in the RUN_STATS record of each run, which helps us find the problem quickly.