UK Google Trends Scraper: Interest, Regions & Related Queries

Get Google Trends interest over time, by region (England, Scotland, Wales, NI) and related queries for the UK or any country.

Who it's for

• SEO and content teams choosing UK keywords and topics
• Marketers comparing brand or product interest across UK nations
• Analysts adding search-interest signals to reports

Sample output

termsText	geoName	timeframe	status
heating oil prices	United Kingdom	today 12-m	ok

Real rows from a test run (shortened; the full output has more fields).

Price per 1,000 results

Main event: result-row at $0.002 each, so 1,000 results = $2.00. See the Pricing tab for the current prices.

Input example

{
  "searchTerms": [
    "energy price cap",
    "vinted, ebay, depop"
  ],
  "geos": [
    "GB"
  ]
}

Get Google Trends data for the UK, or for any country, without the failed runs. This actor returns interest over time, interest by region (England, Scotland, Wales and Northern Ireland, down to cities), and top and rising related queries, including "Breakout" terms. You can compare up to 5 keywords on one 0–100 scale, run as many comparisons as you like in one go, and start from ready-made UK keyword presets: energy price cap, fuel and heating oil, redundancies, steel, carmakers, cost of living, Vinted and Black Friday, and more.

Built for UK analysts, journalists, marketers, ecommerce sellers, resellers and researchers who need Google Trends data to arrive every time.

Free weekly newsletter, UK Industry & Bills: https://ukindustryandbills.substack.com

Why this Google Trends scraper?

• 🔁 Built for reliability. Google rate-limits Trends traffic hard (HTTP 429). Each comparison gets up to 6 automatic retries with exponential backoff, and every retry uses a fresh residential UK proxy session. Data that was already fetched is kept between retries, so nothing is downloaded twice.
• ✅ Tested at scale. In a 545-query cloud load test (10 parallel sessions, 20 Oct 2026), 543 of 545 comparisons completed fully (99.6%). The other 2 came back with partial data and a clear reason. There were 0 empty or failed runs. Google sent 370 rate-limit responses during the test, and the retries absorbed all of them.
• 🇬🇧 UK first. The default location is GB, on a UK residential proxy, with UK dates (Europe/London). One tick adds GB + England + Scotland + Wales + Northern Ireland, and 8 curated UK presets are included.
• 🌍 Works anywhere. Use any country (IE, US, DE…), sub-region (US-CA, GB-SCT) or WORLDWIDE.
• 🧾 No silent failures. Every comparison × location ends as a row. If something still fails after all retries, you get an error row with the reason in the Errors view. You are never charged for error, partial or no-data rows.
• 📊 Analysis-ready. Each row includes per-term average, latest, peak, peakDate and recentChangePct, plus a link to open the same query on trends.google.com.
• 💷 Cheap. You pay per successful result row. A whole comparison (time series + regions + related queries) is one row.

What data can I get?

Output	What you get
Interest over time	0–100 time series per term: date, formatted time, partial-period flag
Interest by region	0–100 per sub-region (for GB: the 4 nations; for a nation: cities), with coordinates for cities
Related queries	Top and rising related searches per term, with values (+250%, Breakout) and links
Related topics	Top and rising related topics (optional; see the limitations below)
Summary	Average, latest, peak value and date, recent change % per term

Use cases

• SEO and content teams: find rising UK search terms and seasonal peaks before competitors.
• Ecommerce sellers and resellers: time stock and promotions (Black Friday, Vinted, seasonal products) with UK demand data.
• Journalists and analysts: chart public interest in the energy price cap, cost of living, redundancies or elections by UK nation.
• Marketers and agencies: compare brands or products on one 0–100 scale across England, Scotland, Wales and Northern Ireland.
• Researchers and data teams: schedule recurring pulls into Sheets, BigQuery or dashboards via the API.

UK presets

Preset	Example comparisons
UK energy price cap & Ofgem	energy price cap, ofgem, energy bills · octopus energy, british gas, ovo energy, eon, edf · standing charge
Diesel, petrol & heating oil	diesel prices, petrol prices · heating oil prices · heating oil, kerosene · fuel duty
Redundancies & administration	redundancy, administration · redundancy pay · into administration · job cuts, factory closure
UK steel	british steel · port talbot, scunthorpe · tata steel · steel prices
UK carmakers	nissan sunderland · jaguar land rover · nissan sunderland, jaguar land rover, mini oxford, toyota burnaston, vauxhall ellesmere port
Cost of living, Vinted & Black Friday	cost of living · cost of living payment · vinted, ebay, depop · black friday deals, cyber monday
UK motorcycle gear (evergreen)	motorcycle helmet, motorcycle jacket, motorcycle boots, motorcycle gloves · heated motorcycle gloves
UK reselling & side hustles (evergreen)	vinted, depop, ebay · car boot sale · vinted fees · hmrc side hustle tax

Presets are added on top of your own search terms, and you can pick several at once.

How to use it

1. Enter search terms, one comparison per line. Put up to 5 terms on a line, separated by commas, to compare them.
2. Optionally pick one or more UK presets.
3. Choose locations (default GB) or tick Add all UK nations.
4. Pick a timeframe, a category and the search type (web, news, images, Shopping, YouTube).
5. Click Start. Results appear in the Overview, Interest over time, Interest by region, Related and Errors views. You can export them as JSON, CSV, Excel or via the API.

Example input

{
  "searchTerms": ["energy price cap", "vinted, ebay, depop"],
  "presets": ["uk_diesel_heating_oil"],
  "geos": ["GB"],
  "ukNationsBundle": true,
  "timeframe": "today 3-m",
  "category": "0",
  "searchProperty": "web",
  "includeInterestOverTime": true,
  "includeInterestByRegion": true,
  "includeRelatedQueries": true,
  "outputLayout": "combined",
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "GB" },
  "maxRetries": 6,
  "maxConcurrency": 5
}

Timeframes: now 1-H, now 4-H, now 1-d, now 7-d, today 1-m, today 3-m, today 12-m, today 5-y, all, or a custom YYYY-MM-DD YYYY-MM-DD.

Example output (real sample)

termsText	geoName	term	average	latest	peak	peakDate	recentChangePct
energy price cap vs ofgem vs energy bills	Scotland	energy price cap	13	13	52	2026-09-13	-38.8
energy price cap vs ofgem vs energy bills	United Kingdom	energy price cap	24	14	61	2026-05-24	-48.4
energy price cap	United Kingdom	energy price cap	40.1	24	100	2026-05-24	-48.7

Example output (one combined row, shortened)

{
  "type": "trends",
  "status": "ok",
  "terms": [
    "vinted",
    "ebay",
    "depop"
  ],
  "termsText": "vinted vs ebay vs depop",
  "geo": "GB",
  "geoName": "United Kingdom",
  "timeframe": "today 12-m",
  "timeRange": "2025-10-20 2026-10-20",
  "resolution": "WEEK",
  "categoryName": "All categories",
  "attempts": 2,
  "retryLog": [
    "attempt 1: widgetdata/relatedsearches: HTTP 429"
  ],
  "summary": {
    "vinted": {
      "average": 30,
      "latest": 38,
      "peak": 40,
      "peakDate": "2026-09-06",
      "recentChangePct": -4.2
    },
    "ebay": {
      "average": 89,
      "latest": 87,
      "peak": 100,
      "peakDate": "2025-11-23",
      "recentChangePct": -0.6
    },
    "depop": {
      "average": 2,
      "latest": 1,
      "peak": 2,
      "peakDate": "2025-10-19",
      "recentChangePct": 0
    }
  },
  "risingQueriesPreview": [
    "vinted: vinted france (+550%)",
    "vinted: vinted uk search (+250%)",
    "vinted: vinted usa (+200%)"
  ],
  "interestOverTime": [
    {
      "date": "2025-10-19",
      "timestamp": 1760832000,
      "formattedTime": "19 – 25 Oct 2025",
      "isPartial": false,
      "values": {
        "vinted": 29,
        "ebay": 98,
        "depop": 2
      }
    },
    {
      "date": "2025-10-26",
      "timestamp": 1761436800,
      "formattedTime": "26 Oct – 1 Nov 2025",
      "isPartial": false,
      "values": {
        "vinted": 30,
        "ebay": 97,
        "depop": 2
      }
    },
    {
      "date": "2025-11-02",
      "timestamp": 1762041600,
      "formattedTime": "2 – 8 Nov 2025",
      "isPartial": false,
      "values": {
        "vinted": 31,
        "ebay": 97,
        "depop": 2
      }
    }
  ],
  "interestByRegion": [
    {
      "geoCode": "GB-WLS",
      "geoName": "Wales",
      "hasData": true,
      "values": {
        "vinted": 25,
        "ebay": 75,
        "depop": 0
      }
    },
    {
      "geoCode": "GB-ENG",
      "geoName": "England",
      "hasData": true,
      "values": {
        "vinted": 24,
        "ebay": 75,
        "depop": 1
      }
    },
    {
      "geoCode": "GB-NIR",
      "geoName": "Northern Ireland",
      "hasData": true,
      "values": {
        "vinted": 25,
        "ebay": 74,
        "depop": 1
      }
    }
  ],
  "relatedQueries": {
    "vinted": {
      "top": [
        {
          "query": "vinted uk",
          "value": 100,
          "formattedValue": "100",
          "link": "https://trends.google.com/trends/explore?q=vinted+uk&date=today+12-m&geo=GB"
        },
        {
          "query": "vinted app",
          "value": 8,
          "formattedValue": "8",
          "link": "https://trends.google.com/trends/explore?q=vinted+app&date=today+12-m&geo=GB"
        },
        {
          "query": "vinted login",
          "value": 8,
          "formattedValue": "8",
          "link": "https://trends.google.com/trends/explore?q=vinted+login&date=today+12-m&geo=GB"
        }
      ],
      "rising": [
        {
          "query": "vinted france",
          "value": 550,
          "formattedValue": "+550%",
          "link": "https://trends.google.com/trends/explore?q=vinted+france&date=today+12-m&geo=GB"
        },
        {
          "query": "vinted uk search",
          "value": 250,
          "formattedValue": "+250%",
          "link": "https://trends.google.com/trends/explore?q=vinted+uk+search&date=today+12-m&geo=GB"
        },
        {
          "query": "vinted usa",
          "value": 200,
          "formattedValue": "+200%",
          "link": "https://trends.google.com/trends/explore?q=vinted+usa&date=today+12-m&geo=GB"
        }
      ]
    },
    "ebay": {
      "top": [
        {
          "query": "ebay uk",
          "value": 100,
          "formattedValue": "100",
          "link": "https://trends.google.com/trends/explore?q=ebay+uk&date=today+12-m&geo=GB"
        },
        {
          "query": "my ebay",
          "value": 9,
          "formattedValue": "9",
          "link": "https://trends.google.com/trends/explore?q=my+ebay&date=today+12-m&geo=GB"
        },
        {
          "query": "ebay login",
          "value": 6,
          "formattedValue": "6",
          "link": "https://trends.google.com/trends/explore?q=ebay+login&date=today+12-m&geo=GB"
        }
      ],
      "rising": [
        {
          "query": "beatrix potter 50p coin ebay",
          "value": 1850,
          "formattedValue": "+1,850%",
          "link": "https://trends.google.com/trends/explore?q=beatrix+potter+50p+coin+ebay&date=today+12-m&geo=GB"
        },
        {
          "query": "brexit 50p coin ebay listing price",
          "value": 1800,
          "formattedValue": "+1,800%",
          "link": "https://trends.google.com/trends/explore?q=brexit+50p+coin+ebay+listing+price&date=today+12-m&geo=GB"
        },
        {
          "query": "ebay app not working",
          "value": 300,
          "formattedValue": "+300%",
          "link": "https://trends.google.com/trends/explore?q=ebay+app+not+working&date=today+12-m&geo=GB"
        }
      ]
    },
    "depop": {
      "top": [
        {
          "query": "vinted",
          "value": 100,
          "formattedValue": "100",
          "link": "https://trends.google.com/trends/explore?q=vinted&date=today+12-m&geo=GB"
        },
        {
          "query": "depop uk",
          "value": 97,
          "formattedValue": "97",
          "link": "https://trends.google.com/trends/explore?q=depop+uk&date=today+12-m&geo=GB"
        },
        {
          "query": "ebay",
          "value": 45,
          "formattedValue": "45",
          "link": "https://trends.google.com/trends/explore?q=ebay&date=today+12-m&geo=GB"
        }
      ],
      "rising": [
        {
          "query": "vinted co uk",
          "value": 750,
          "formattedValue": "+750%",
          "link": "https://trends.google.com/trends/explore?q=vinted+co+uk&date=today+12-m&geo=GB"
        },
        {
          "query": "whatnot",
          "value": 250,
          "formattedValue": "+250%",
          "link": "https://trends.google.com/trends/explore?q=whatnot&date=today+12-m&geo=GB"
        },
        {
          "query": "crosslist",
          "value": 250,
          "formattedValue": "+250%",
          "link": "https://trends.google.com/trends/explore?q=crosslist&date=today+12-m&geo=GB"
        }
      ]
    }
  },
  "trendsUrl": "https://trends.google.com/trends/explore?date=today%2012-m&q=vinted%2Cebay%2Cdepop&hl=en-GB&geo=GB"
}

An error row looks like this. It is never charged:

{ "type": "error", "status": "error", "termsText": "energy price cap", "geo": "GB-SCT", "attempts": 7,
  "errorMessage": "Failed after 7 attempts: attempt 7: widgetdata/multiline: HTTP 429",
  "retryLog": ["attempt 1: widgetdata/multiline: HTTP 429", "…"] }

status values: ok (charged), no_data (Google has too little search volume; free), partial (some sections missing after all retries; free, and the data that was fetched is still included), error (free).

Each run also writes a RUN_SUMMARY record to the key-value store. It shows the success rate, the attempts histogram and HTTP status counts, so you can check reliability yourself.

Output layouts

• Combined (default): one row per comparison × location holding every section. This is the cheapest option.
• Split: one row per section (time series, regions, related queries). It is easier to filter or export to separate sheets, and each section row counts as a result.

How much does it cost?

In plain words: $2 per 1,000 successful result rows ($0.002 each). In the default combined layout one comparison (time series, regions and related queries) is one row, so 1,000 keyword comparisons cost about $2. Error, partial and no-data rows are free.

The actor uses pay-per-event pricing: you pay per successful result row, plus Apify's standard actor-start event. Error, partial and no-data rows are free. A typical run of 100 comparisons in combined layout produces about 100 result rows. Set Maximum cost per run in the run options to cap spend; the actor stops cleanly when that cap is reached.

Limitations (honest list)

• Google Trends values are relative (0–100) within each comparison. They are not absolute search volumes.
• Related topics: Google currently withholds related topics from automated requests for most queries and returns an empty list. When that happens the row records it in unavailableSections, and you are not charged extra. Related queries are unaffected. The option is off by default.
• Very small locations or niche terms can return no_data. That is Google's privacy threshold, not a scraping failure.
• Up to 5 terms per comparison, which is a Google limit.

FAQ

Is scraping Google Trends legal? This actor reads publicly available, aggregated Google Trends data and needs no login. It collects no personal data. Check that your use complies with Google's terms and the laws that apply to you.

Why a residential proxy? Google rate-limits Trends heavily. In our tests, rotating UK residential sessions with backoff turned 87–90% first-pass success into 100%. You can switch to datacenter or no proxy in the Proxy setting for cheaper small runs.

Can I schedule it? Yes. Use Apify Schedules (for example, daily UK presets), and connect the results to Google Sheets, Slack, Make, Zapier or webhooks with Apify integrations.

Can I use it through the API or with AI agents? Yes. Call it with the Apify API or SDK, or through the Apify MCP server. The output schema describes every view.

Related UK data actors

• Amazon UK Bestsellers Scraper: Movers & New Releases
• UK Energy Price Cap Scraper: Ofgem Rates by Region + Forecast
• eBay UK Scraper: Live Listings & Price Comps (GBP)

About RawTrader | UK Industry & Bills

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