Google Trends Scraper

Google Trends Scraper: interest over time, by region, and related queries

Type up to 25 keywords and get Google Trends back as flat rows: one per point on the interest chart, one per region, one per related search, and one per entry in a country's Trending Now list. No Google account and no API key.

Read this before you build on it. Every value is Google's own 0 to 100 index, not a search volume. 100 is the peak of the exact series you asked for, so changing the region, the time range or the category rescales the whole thing, and two keywords pulled in separate runs are not comparable. Google does not publish absolute search counts to anyone, so no tool can give you them.

🔍 What Google Trends Scraper does

It pulls the three panels the Trends website shows for a keyword, and flattens each into rows.

Interest over time is one row per point on the chart. The range decides how fine the points are: the past day is minute by minute, a year is weekly, all is monthly back to 2004.

Interest by region is one row per place. Worldwide runs break down by country, a single country by state or province, or by city or metro area if you ask.

Related and rising queries is one row per related search, marked top for the ones consistently searched alongside your keyword and rising for the ones growing fastest.

Trending Now is separate. Give it country codes and you get what is spiking in each one now, with the top news story behind it. No keywords needed.

📥 What you give it

{
  "searchTerms": ["bitcoin", "ethereum"],
  "geo": "US",
  "timeframe": "today 12-m",
  "dataTypes": ["interestOverTime", "interestByRegion", "relatedQueries"],
  "maxItems": 500
}

Budget about 150 rows per keyword with all three data sets over twelve months. City and metro detail add roughly 200 rows each on their own.

A geo the run cannot read is treated as worldwide, not as an error. It wants US, not USA or United States. A timeframe it cannot read falls back to the past twelve months the same way, so check the first run's rows match the window you meant.

📤 What you get back

A real row from a recent run:

{
  "ok": true,
  "keyword": "bitcoin",
  "geo": "US",
  "timeframe": "today 12-m",
  "searchType": "web",
  "category": 0,
  "trendsUrl": "https://trends.google.com/trends/explore?q=bitcoin&date=today+12-m&geo=US",
  "recordType": "interest_over_time",
  "date": "2025-09-21T00:00:00.000Z",
  "dateLabel": "Sep 21, 2025",
  "value": 26,
  "formattedValue": "26",
  "isPartial": false,
  "scrapedAt": "2026-09-21T01:23:40.241Z"
}

🧾 Reading the output

Three kinds of row can land in your dataset.

An empty input writes the sample row and stops there, so you can see the shape before spending anything.

One keyword with no data never stops the others, and a diagnostic row never fails the run.

▶️ How to run it

1. Open Google Trends Scraper and click Try for free. 2. Put your keywords into Keywords, deleting the examples first. 3. Set Region and Time range, and untick anything in What to return you do not need. 4. Set Maximum rows. Around 200 is enough to see what one keyword produces. Then click Start. 5. Download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost?

$0.06 per 1,000 rows. Flat on every Apify plan, no volume tiers.

Every delivered row counts the same, whichever panel it came from. Points Google marks as having no data are dropped before they become rows, so a thin series costs nothing for its empty part. Sample rows, diagnostic rows, a keyword with no data and a region detail level Google does not publish are all free.

💡 What people use it for

• Checking whether a product name is actually growing before committing a budget to it.
• Pulling rising related queries every week and using them as the content or keyword backlog.
• Finding which states or cities index highest for a term, then pointing spend at those first.
• Watching the Trending Now list for a country on a schedule, with the news story attached.
• Putting up to five names on one shared scale with compareKeywords to settle an argument.

🚧 What it does not do

• No absolute search volumes. The 0 to 100 index is all Google publishes.
• No related topics. Google returns an empty list for that panel to callers who are not signed

in, so shipping the field would mean shipping an always-empty column. Related queries are unaffected.

• Two separate runs are not comparable. Each keyword is scaled against its own peak unless you

turn on compareKeywords and run them together.

• Comparison mode takes five keywords, which is Google's own limit. Extras are dropped and the

run says so in the log.

• A low-volume keyword returns nothing, not a flat line of zeroes. Google suppresses series it

considers too thin, and you get a free NO_RESULTS row.

• City and metro detail is best effort. Google publishes dense city data for big terms in big

countries and nothing at all for many other combinations, and the run falls back to the level it does publish.

• The last point of a series is usually partial and will move if you re-run later the same day.
• Trending Now is a live snapshot, typically around ten entries, and two runs an hour apart will

differ.

• Category ids are Google's numbers, with no lookup built in. Read the id off a Trends URL after

narrowing a search there.

🧭 Which Google scraper do you need?

❓ Questions people ask

Do I need a Google account or an API key? No. Nothing to sign up for and no quota.

Why does one keyword produce so many rows? Because the output is flat. Twelve months of weekly points, a row per region and a row per related query is about 150 rows for a single keyword. Untick data sets in dataTypes or lower maxItems for fewer.

Can I compare two keywords directly? Turn on compareKeywords and put both in searchTerms. Up to five then share one 0 to 100 scale.

What happens when a keyword has no data? One free NO_RESULTS row for it, and the run carries on to the rest.

Can I run it on a schedule? Yes. Nothing carries over between runs. Key on keyword, recordType and date, and remember the last point is still moving.

Is this legal? Trends is public, aggregated and carries no personal data. Apify's write-up on scraping and the law is a good starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the keyword, the region and the run ID. The errorCode on the diagnostic row usually names the problem on its own.