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Google Trends API

Google Trends API: demand over time and by region in one call

Send a keyword. Get back a weekly interest line and a score for every state, as rows you can sort. One call costs €0.0015.

Start freeSee all data APIs
per 1,000 calls
€1.50
per call
€0.0015
0.15 cents
rows per call
up to 104
per 1,000 rows
≈ €0.0144

What one Google Trends call gives you

The Google Trends API returns both main Trends charts for one keyword in a single call: about 53 weekly interest points for the past 12 months, plus one row per region. One call costs €0.0015, so checking 1,000 keywords costs €1.50. Our page of all data APIs and prices lists every other source next to it. Save a keyword once, and every run's charts are stored in your Scrapewise account for the table, Excel, your AI assistant or the API.

We ran it for "bitcoin" in the US on 16 September 2026 and got 104 rows. 53 were weeks. In the eight weeks to mid September the score moved between 16 and 28. The other 51 rows were the 50 states plus Washington DC, led by Wyoming at 100, Nevada at 46 and Kansas at 44. A widget column marks which chart each row belongs to, so one filter splits them.

Most sellers open the Trends website, type a product, look at the line and move on. That's fine for three ideas. It falls apart at 200 ideas every Monday, and home-made scripts built on unofficial libraries such as pytrends stop working whenever Google changes something. Here you send the keyword and get rows back that go straight into a sheet.

This page is the front door to our seven Trends APIs. If you only need one of the two charts, want related searches, or want today's trending list with no keyword at all, the table below points you to the right one. They all cost the same per call.

Which Trends API do I need?

Every Trends API below costs €0.0015 per call. Pick by what you send and what you want back.

APIWhat you sendWhat you get backRowsBest for
Google Trends APIOne keywordWeekly interest plus interest by regionAbout 104 for a US keyword over 12 monthsA first demand check on a product idea
Interest over time APIOne or more keywordsA dated weekly series, one value per keywordAbout 53 per yearSeasonality, reorder planning, charts
Compare keywords by regionTwo or more keywords, comma separatedWhich keyword leads in each regionAbout 51 for the USYour brand against a rival, state by state
Interest by region APIOne keywordA 0 to 100 score for every regionAbout 51 for the USChoosing ad states and stock locations
Related queries APIOne keyword25 top and 25 rising searches50Listing titles and video ideas
Related topics APIOne keywordTop and rising brands, companies and subjectsAbout 27Finding competitors and adjacent products
Google Trending Now APICountry only, no keywordWhat people search right now, with volumeAbout 298Same-day posts and catching fads

Who checks Google Trends before they spend money

  • Amazon and Shopify sellers

    Check an idea before you send a supplier a deposit for 500 units. If the weekly line has slid for three months, you've kept your cash. If it's climbing, the region rows show where to aim your first ads.

  • YouTube creators

    A video takes days to make. Look at the weekly points first and see if Google searches for the topic are growing into the week you'd publish, or already fading.

  • Local and seasonal businesses

    A pool supply store or a snow removal crew can see which weeks searches start to climb and which states search hardest. That's what you plan staff, stock and ad budgets on.

  • Developers replacing pytrends

    If your script keeps hitting rate limits or returns empty frames, swap it for one HTTP request. Both charts come back as rows, with your keyword, country and time range stamped on each one.

How it works

  1. Type a keyword

    Enter one search term, like 'heated vest'. The country is US unless you pick another code, such as GB or DE. Past 12 months is the default range.

  2. Put it on a schedule

    Run it once, or weekly. Every run saves the weekly rows and the region rows with the date you ran it.

  3. Read both charts

    Open the table or Excel, pull rows by API, or ask your AI assistant: 'in which states is interest in heated vest highest right now?'

Set it up once. The data keeps coming.

Save your search once and it runs by itself. Every run lands in your own Scrapewise database, and you pick how to read it.

  1. Set it up once

    Add your ASINs, keywords, places or apps to a scraper in the web app. New accounts get 5 free requests.

  2. Runs on your schedule

    Pick daily, weekly on the days you choose, every few days, or the first or last day of the month. Scheduled runs start at night, European time. Need it more often? Start runs from your own code.

  3. Saved in your database

    Each run adds dated rows, so this week sits next to last week. Rows are kept for 90 days.

  4. Use it your way

    Open the table in the web app and download the latest run as an Excel file. Ask your own AI assistant about it. Or pull the rows into your code with an API key.

Ask your AI assistant about your own data

Connect Claude Desktop, Claude Code or another MCP app with a read-only key. The assistant reads the rows you've already collected, at no extra cost on Scrapewise. With a full-access key it can start a run for you too.

  • Which of my ASINs lost the Buy Box this week?
  • Which competitor cut prices the most since Monday?
  • Show the keywords where I dropped out of the top 10.

What you send and what you get back

You send a search term, and if you like a country code and a time range. For a US keyword over 12 months you get about 104 rows: 53 weekly points and 51 region rows, marked by the widget column.

You give
  • Search termrequired
    bitcoin
  • Location (country code)optional
    US
  • Time rangeoptional
    today 12-m
  • Data typeoptional
    (default: both)
You get

Up to 104 rows per call, 25 columns each

  • sw status
  • sw source url
  • sw position
  • sw title
  • sw url
  • sw external id
  • sw id kind
  • sw published at
  • sw location
  • sw fetched at
  • widget
  • date
  • +13 more, see all columns

Sample rows: "bitcoin" in the US, past 12 months

Real rows from a call made on 16 September 2026. Weekly rows fill the date and values columns. Region rows fill location and value. Blank cells belong to the other chart.

All 25 columns

  • sw status
  • sw source url
  • sw position
  • sw title
  • sw url
  • sw external id
  • sw id kind
  • sw published at
  • sw location
  • sw fetched at
  • widget
  • date
  • timestamp
  • values[0]_query
  • values[0]_value
  • values[0]_extracted_value
  • geo
  • location
  • max_value_index
  • value
  • extracted_value
  • ctx_search_parameters_q
  • ctx_search_parameters_geo
  • ctx_search_parameters_date
  • ctx_search_metadata_google_trends_url

8 sample rows, 25 columns. One call returns up to 104 rows.

8 sample rows, 25 columns. One call returns up to 104 rows.
sw status_sw_statusResult of this row: OK, no results, or an errorsw source url_sw_source_urlThe input you gave: a link, keyword or IDsw position_sw_positionRank of the item as the site shows itsw title_sw_titleMain name of the itemsw url_sw_urlDirect link to the itemsw external id_sw_external_idThe site's own ID for this itemsw id kind_sw_id_kindWhat kind of ID the external ID issw published at_sw_published_atPublish or update date in ISO formatsw location_sw_locationPlace the result is priced or ranked forsw fetched at_sw_fetched_atWhen we collected this row (UTC)widgetwidgetWidgetdatedateDatetimestamptimestampTimestampvalues[0]_queryvalues[0]_queryValues #1 queryvalues[0]_valuevalues[0]_valueValues #1 valuevalues[0]_extracted_valuevalues[0]_extracted_valueValues #1 extracted valuegeogeoRegion codelocationlocationRegion namemax_value_indexmax_value_indexMax value indexvaluevalueValue as shownextracted_valueextracted_valueNumeric valuectx_search_parameters_qctx_search_parameters_qRequest context: search parameters qctx_search_parameters_geoctx_search_parameters_geoRequest context: search parameters geoctx_search_parameters_datectx_search_parameters_dateRequest context: search parameters datectx_search_metadata_google_trends_urlctx_search_metadata_google_trends_urlRequest context: search metadata google trends url
OKhttps://trends.google.com/trends/explore?q=bitcoin&geo=US51bitcoinhttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7D1788048000topic2026-08-30T00:00:00ZUS2026-09-16T11:06:46Zinterest_over_timeAug 30 – Sep 5, 20261788048000bitcoin2121bitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7D
OKhttps://trends.google.com/trends/explore?q=bitcoin&geo=US52bitcoinhttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7D1788652800topic2026-09-06T00:00:00ZUS2026-09-16T11:07:23Zinterest_over_timeSep 6 – 12, 20261788652800bitcoin1616bitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7D
OKhttps://trends.google.com/trends/explore?q=bitcoin&geo=US53bitcoinhttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7D1789257600topic2026-09-13T00:00:00ZUS2026-09-16T11:08:00Zinterest_over_timeSep 13 – 19, 20261789257600bitcoin1717bitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7D
OKhttps://trends.google.com/trends/explore?q=bitcoin&geo=US54Wyominghttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7DUS-WYtopicUS-WY2026-09-16T11:08:37Zinterest_by_regionUS-WYWyoming0100100bitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7D
OKhttps://trends.google.com/trends/explore?q=bitcoin&geo=US55Nevadahttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7DUS-NVtopicUS-NV2026-09-16T11:09:14Zinterest_by_regionUS-NVNevada04646bitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7D
OKhttps://trends.google.com/trends/explore?q=bitcoin&geo=US56Kansashttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7DUS-KStopicUS-KS2026-09-16T11:09:51Zinterest_by_regionUS-KSKansas04444bitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7D
OKhttps://trends.google.com/trends/explore?q=bitcoin&geo=US57Californiahttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7DUS-CAtopicUS-CA2026-09-16T11:10:28Zinterest_by_regionUS-CACalifornia04242bitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7D
OKhttps://trends.google.com/trends/explore?q=bitcoin&geo=US58New Yorkhttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7DUS-NYtopicUS-NY2026-09-16T11:11:05Zinterest_by_regionUS-NYNew York04242bitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/TIMESERIES?hl=en&tz=420&req=%7B%22category%22%3A0%2C%22comparisonItem%22%3A%5B%7B%22geo%22%3A%22US%22%2C%22keyword%22%3A%22bitcoin%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22property%22%3A%22%22%7D

What each column means

Columns that start with sw are the same on every Scrapewise data API, so one sheet or script works across sources. The others come from Google Trends as they are.

Which chart a row belongs to

widget is interest_over_time or interest_by_region. sw position is the row's place in its chart. sw status says OK, no results or error for that row.

  • widget
  • sw position
  • sw status

Weekly points

date is the week as Google words it, for example Sep 6 to 12, 2026. sw published at is the start of that week as an ISO date, so it sorts correctly, and timestamp is the same moment in Unix seconds. The values columns hold the keyword and its score, once as text and once as a number.

  • date
  • timestamp
  • sw published at
  • values[0]_query
  • values[0]_value
  • values[0]_extracted_value

Region rows

location is the region name and geo its code, such as US-WY. value is the score as Google shows it and extracted value is the same score as a number. max value index is 0 on a one-keyword call. sw location is the place a row was measured for: the country on weekly rows, the region code on region rows.

  • location
  • geo
  • value
  • extracted_value
  • max_value_index
  • sw location

Row identity and links

sw title is the keyword on weekly rows and the region name on region rows. sw external id is the week timestamp or the region code, so you can match rows between runs, and sw id kind says what sort of ID it is. sw source url is the Trends page for your input, sw url is the chart the row came from, and sw fetched at is when we collected it, in UTC.

  • sw title
  • sw external id
  • sw id kind
  • sw source url
  • sw url
  • sw fetched at

Your request, on every row

Each row repeats the keyword, country and time range you asked for, plus the Trends link for the request. Stack 200 keywords in one sheet and these columns keep them apart.

  • ctx_search_parameters_q
  • ctx_search_parameters_geo
  • ctx_search_parameters_date
  • ctx_search_metadata_google_trends_url

What sellers do with Google Trends data

01

Drop falling product ideas

Pull 12 months for 10 ideas. Compare the last 8 weeks with the first 8 weeks of the range, which are the same weeks a year earlier. Anything lower goes in the bin. Ten checks cost €0.015.

02

Pick the states for your first ads

Sort the region rows by score and start with the top 10. Scores are a share of all searches in that state, which is why Wyoming beat California 100 to 42 for bitcoin.

03

List before the season starts

Run 5 years instead of 12 months so one odd year doesn't fool you. Find the week the line starts climbing and have stock in the warehouse 2 weeks before it.

04

Retire a fragile pytrends script

No cookies, no retry loops, no parsing Google's page. You get the numbers from both charts as clean rows.

05

Send a Monday demand report

Schedule 200 keywords every week for about €1.29 a month, then chart them in Google Sheets or Looker Studio.

What it costs in real life

  • Home goods seller screening ideas

    Checks 50 new product ideas every week before placing supplier orders. That's about 215 calls a month, or roughly €0.32.

    calls per month
    215
    cost per month
    €0.323

  • Tech channel choosing video topics

    Runs 20 video ideas every morning to see which are rising. 600 calls a month come to €0.90.

    calls per month
    600
    cost per month
    €0.90

  • Marketing agency weekly report

    Tracks 300 client keywords every Monday for a demand report. About 1,290 calls a month, close to €1.94.

    calls per month
    1,290
    cost per month
    €1.94

Why use this Trends API

  • When and where, for one price

    The weekly line and the region scores come back together. You don't pay a second call to see where demand sits.

  • No plan to outgrow

    There's no monthly fee and no minimum. A €10 top-up pays for about 6,600 keyword checks, and results stay in your account for 90 days.

  • Columns that match your other data

    The sw columns are the same on our Amazon, YouTube and Google Search APIs, so a demand check and a listing check join on one sheet.

What your Trends checks cost

Each call costs €0.0015, however many rows come back. Enter how many keywords you check and how often. Compare all data APIs

Rows (up to)
104,000
You pay
€1.50
FAQ

Frequently asked questions

Google scales interest from 0 to 100. 100 is the highest point for that keyword in the place and time range you chose, and 50 means half that level. They're relative shares, not search counts, so a score of 20 for one keyword can't be compared with 20 from a separate call.

Ready to pull Google data into your stack?

Your first 5 requests are free. After that you top up a wallet from €5 and pay €0.0015 per call, with no plan and no monthly fee. Our pay-as-you-go pricing page explains the wallet.

Start freeSee all data APIs

Explore other data APIs

View all 36 →
Google TrendsGoogle Trends interest over time API: a weekly series per keywordGet Google Trends interest over time as a weekly series with real dates, for one keyword or several. €0.0015 per call, ready to chart.View data API →Google TrendsCompare keywords by region: which term wins whereCompare 2 or more search terms and see which one leads in each state or region. €0.0015 per call, about 51 rows for the US.View data API →Google TrendsGoogle Trends interest by region API: where one keyword is hotSee where one keyword is searched most, region by region, scored 0 to 100. €0.0015 per call. Pick ad targets and stock locations.View data API →Google TrendsGoogle Trends related queries API: top and rising searchesGet the searches people make around your keyword: 25 top and 25 rising, including breakouts. €0.0015 per call. New keyword ideas each week.View data API →