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Related topics API

Google Trends related topics API: the brands and subjects around a keyword

See which brands, companies and product types buyers connect to your category, and which ones are climbing. €0.0015 per call.

AutomaticPaste a Google Trends link, choose Related topics, and we use this API for you.trends.google.com/trends/explore?q=…

Start freeSee all data APIs
per 1,000 calls
€1.50
per call
€0.0015
0.15 cents
rows per call
up to 27
per 1,000 rows
≈ €0.0556

Map a market by the things people search

The related topics API returns the subjects Google links to your keyword, each with a type such as brand, company, currency or software. You get a top list and a rising list, about 27 rows in our test. One call costs €0.0015, and 1,000 calls cost €1.50. Other sources and prices are on our all data APIs page. Save the Trends link once, and each run's topic list is stored in your Scrapewise account for the table, Excel, your AI assistant or the API.

A topic is a thing, not a phrase. Google groups every spelling and language of a subject into one entry, so the rows show you the market's players without 20 near-duplicate phrasings.

For "bitcoin" in the US on 16 September 2026, the top list included Ethereum (type: Software) at 4 and XRP (type: Currency) at 2. Those are the rivals. The rising list led with Reuters, a news agency, up 2,700%, and Petroleum up 650%. That tells you where the attention came from that month.

Sellers use this to find competitors and neighbors in a category. If you need the exact words to put in a title or an ad, the related queries API is the better fit.

Who maps topics around a keyword

  • Sellers entering a category

    Before you list your first yoga mat, see which mat brands shoppers already connect with the category. That's your competitor list, ranked by attention.

  • Brand owners

    Run your own brand name and see which rival brands sit next to it. A new name in the rising list is a competitor to look up this week.

  • Bundle and cross-sell planners

    Product-type topics that rise with yours are candidates for bundles, add-ons and your next product.

How it works

  1. Paste a Trends link for a category term

    Broad works best, like protein powder or your brand name. Search it on Google Trends, copy the link and pick Related topics.

  2. Pick the range and schedule

    Set 12 months on Google Trends to see who holds attention, or past 7 days for who's gaining. Schedule it weekly and every run is saved with its date.

  3. Filter by type

    Filter to brand types in the table or Excel, pull rows by API, or ask your AI assistant: 'which brands showed up for protein powder this month that weren't there last month?'

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 or Claude Code 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 paste a Google Trends link for one term. Country and time range come from the link. You get top and rising topics, about 27 rows in our test, each with a title, a type, a stable topic ID and a score or growth figure.

You give
  • Link to Google Trendsrequired

    Compare your terms on Google Trends, then copy the address. Terms, country and time range come from the link.

    https://trends.google.com/trends/explore?date=today%2012-m&geo=US&q=air%20fryer,slow%20cooker&hl=en
  • What do you want from this Trends link?required
    • Over time and by region
    • Interest over time
    • Interest by region
    • Compare regions
    • Related queries
    • Related topics
You get

Up to 27 rows per call, 14 columns

  • sw status
  • sw source url
  • sw fetched at
  • series
  • topic_value
  • topic_title
  • topic_type
  • value
  • extracted_value
  • link
  • ctx_search_parameters_q
  • ctx_search_parameters_geo
  • +2 more, see all columns

Sample rows: related topics for "bitcoin" in the US

Real rows from a call on 16 September 2026, past 12 months. The first four top and the first four rising topics are shown.

All 14 columns

  • sw status
  • sw source url
  • sw fetched at
  • series
  • topic_value
  • topic_title
  • topic_type
  • value
  • extracted_value
  • link
  • ctx_search_parameters_q
  • ctx_search_parameters_geo
  • ctx_search_parameters_date
  • ctx_search_metadata_google_trends_url

8 sample rows, all 14 columns seen across sample calls. One call returns up to 27 rows.

8 sample rows, all 14 columns seen across sample calls. One call returns up to 27 rows.
sw status_sw_statusResult of this row: OK, no results, or an errorsw source url_sw_source_urlThe link you pasted for this requestsw fetched at_sw_fetched_atWhen we collected this row (UTC)seriesseriesSeriestopic_valuetopic_valueTopic valuetopic_titletopic_titleTopic titletopic_typetopic_typeTopic typevaluevalueValue as shownextracted_valueextracted_valueNumeric valuelinklinkLinkctx_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=US2026-09-16T11:26:30Ztop/m/05p0rrxBitcoinCryptocurrency100100https://trends.google.com/trends/explore?q=/m/05p0rrx&date=today+12-m&geo=USbitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/RELATED_TOPICS?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=US2026-09-16T11:27:07Ztop/m/01d_1lPriceTopic5757https://trends.google.com/trends/explore?q=/m/01d_1l&date=today+12-m&geo=USbitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/RELATED_TOPICS?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=US2026-09-16T11:27:44Ztop/m/077mqStockTopic1010https://trends.google.com/trends/explore?q=/m/077mq&date=today+12-m&geo=USbitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/RELATED_TOPICS?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=US2026-09-16T11:28:21Ztop/m/09nqfUnited States DollarCurrency99https://trends.google.com/trends/explore?q=/m/09nqf&date=today+12-m&geo=USbitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/RELATED_TOPICS?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=US2026-09-16T11:28:58Zrising/m/0ps53ReutersNews agency company+2,700%2700https://trends.google.com/trends/explore?q=/m/0ps53&date=today+12-m&geo=USbitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/RELATED_TOPICS?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=US2026-09-16T11:29:35Zrising/g/11bc5zy143ReutersTopic+2,650%2650https://trends.google.com/trends/explore?q=/g/11bc5zy143&date=today+12-m&geo=USbitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/RELATED_TOPICS?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=US2026-09-16T11:30:12Zrising/m/05r_jPetroleumTopic+650%650https://trends.google.com/trends/explore?q=/m/05r_j&date=today+12-m&geo=USbitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/RELATED_TOPICS?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=US2026-09-16T11:30:49Zrising/g/1q6h_chmsgold priceTopic+400%400https://trends.google.com/trends/explore?q=/g/1q6h_chms&date=today+12-m&geo=USbitcoinUStoday 12-mhttps://trends.google.com/trends/embed/explore/RELATED_TOPICS?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

sw columns tell you where, when and how each row was collected. The rest are Google Trends topic fields.

The topic

topic title is the name, like Ethereum. topic type is what Google says it is, like Software, Currency or News agency company. topic value is Google's topic ID, such as /m/05p0rrx for Bitcoin, so you can match a topic across runs.

  • topic_title
  • topic_type
  • topic_value

Top or rising, and by how much

series is top or rising. On top rows, value is a 0 to 100 score. On rising rows, value is growth like +2,700%, and extracted value is that growth as a number.

  • series
  • value
  • extracted_value

Links

link opens the topic on Google Trends with your country and time range. sw source url opens your keyword.

  • link
  • sw source url

Place, status and time

sw status is OK, no results or error, and sw fetched at is the collection time in UTC.

  • sw status
  • sw fetched at

Your request

Your keyword, country, time range and the Trends link, repeated on every row.

  • ctx_search_parameters_q
  • ctx_search_parameters_geo
  • ctx_search_parameters_date
  • ctx_search_metadata_google_trends_url

What sellers do with related topics

01

Discover rival brands

Filter the top list to brand and company types. Those are the names shoppers already connect with your category, ranked by how often.

02

Spot new entrants

A brand showing up in the rising list, or jumping up it from one month to the next, usually means a new competitor is getting press or ad spend.

03

Find products to bundle

Product types that rise alongside yours are what the same buyers are shopping for. Test them as bundles or add-ons.

04

Structure keyword research

Use topics as your headings, then run each one through the related queries API to fill it with exact phrases.

05

Track a topic by ID

Each topic has a stable ID, so you can follow one brand across months even if its display name changes.

What it costs in real life

  • Private label seller

    Maps 15 categories every week to watch for new brands. About 65 calls, around €0.10 a month.

    calls per month
    65
    cost per month
    €0.0975

  • Brand team tracking rivals

    Runs its own brand and 9 competitor brands every day. 300 calls, €0.45 a month.

    calls per month
    300
    cost per month
    €0.45

  • Market research for a new niche

    One-off scan of 120 category keywords before a product launch. 120 calls, €0.18.

    calls per month
    120
    cost per month
    €0.18

Why use this API for competitor discovery

  • Things, not spellings

    Google merges the variants, so each brand shows up as one row with its type.

  • Types you can filter

    topic type separates companies from currencies and product types, so a competitor list is one filter away.

  • Cheap to run daily

    Tracking 10 brands every day costs €0.45 a month.

What your market mapping costs

Each call costs €0.0015 for the full top and rising lists. Enter how many categories you track and how often. Compare all data APIs

Rows (up to)
27,000
You pay
€1.50
FAQ

Frequently asked questions

A subject Google recognizes, such as a brand, a company or a product type, with its type shown. One name can appear twice with different types: Reuters came back both as News agency company and as a general topic. Group by topic value to keep them apart.

Ready to pull Google data into your stack?

Start with 5 free requests. Then top up from €5 and pay €0.0015 per call. See pay-as-you-go pricing for the details.

Start freeSee all data APIs

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