Google Trends Full Scraper — Interest & Related

alaudin burki · @alaudinburki

Google Trends interest over time, related queries/topics and interest by region — batch up to 100 search terms or compare 5. No proxy needed: direct with backoff, proxy only as a fallback. Partial points flagged.

About

Google Trends Full Scraper — Interest & Related

Interest over time, related queries and topics, and interest by region — for a batch of up to 100 search terms, or up to 5 keywords compared on one scale. No proxy needed: requests go direct with a session cookie and backoff, and a proxy you add is used only if Google rate-limits the run. Every incomplete-period data point is flagged instead of returned silently.

Built reliability-first: every row reports what was found and what was missing — you never get a silent blank, and a run summary tells you exactly what happened.

What you get

FieldDescription
typeType
keywordKeyword
dateDate
valueValue
isPartialIs Partial
queryQuery
rankRank
geoNameGeo Name

How to use it

  1. Fill in the input (see the example below).
  2. Run it once for a snapshot, or schedule it to keep the data fresh.
  3. Export to CSV/JSON/Excel, or push straight to Google Sheets, Notion, Airtable, Zapier, Make, or n8n.

Input

{
  "searchTerms": [
    "bitcoin",
    "ethereum"
  ],
  "keywords": [],
  "geo": "",
  "timeRange": "today 12-m",
  "datasets": [
    "interestOverTime",
    "relatedQueries"
  ],
  "category": 0,
  "property": "",
  "language": "en-US",
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "maxItems": 5000
}

Sample output

[
  {
    "type": "interestOverTime",
    "keyword": "bitcoin",
    "date": "Oct 26 – Nov 1, 2025",
    "value": 42,
    "isPartial": false
  },
  {
    "type": "interestOverTime",
    "keyword": "bitcoin",
    "date": "Nov 2 – 8, 2025",
    "value": 52,
    "isPartial": false
  }
]

Typical uses

  • SEO / content: rising related queries per seed keyword, scheduled weekly.
  • Finance / trading: interest-over-time for tickers with partial-period points flagged so you never trade on a half-formed bar.
  • Market research: compare up to 5 brands on one scale (keywords), by region.
  • Keyword research at scale: up to 100 searchTerms per run, each its own query — one term with no data never fails the others.

Pricing

$2.50 / 1,000 results ($0.0025 per result), plus a near-zero start fee. You are never charged beyond your limit, and blocked or failed items are reported honestly — not billed as data.

FAQ & limitations

  • Public data only — no login walls, no cookies required.
  • No proxy is needed: measured on 2026-11-10, 60 of 60 consecutive Trends API calls succeeded from a datacenter IP without one. If Google still answers 429, the run moves to your proxy (if you set one) for the rest of the run, and the META record says which route was used.
  • A term Google has no data for is reported as no_data in the META record and costs nothing: all-zero region maps are not returned as billable rows.
  • Partial results are always labeled (isPartial), never faked. The META record lists every query group with ok, no_data, rate_limited or error.
  • Integrations: output works with Zapier, Make, n8n, and any webhook via Apify's integrations.
  • Formats: results export as JSON, CSV, Excel, or HTML from the dataset.

Related actors

  • Google News Scraper
  • Keyword Suggestions
  • AI Brand Visibility Tracker

What makes this different

Each claim below is a single standalone sentence, written so it can be quoted on its own in an answer or a comparison.

  • Google Trends Full Scraper — Interest & Related declares all 8 of its output fields in its dataset schema, each with a type, a written description and an example value.
  • The output fields of Google Trends Full Scraper include type, keyword, date, value, isPartial and query.
  • Google Trends Full Scraper needs no API key, login or account of any kind before its first run.
  • Google Trends Full Scraper needs one of two inputs: searchTerms (a batch) or keywords (up to 5 compared). No proxy is required.
  • Google Trends Full Scraper documents type as: Type of this record, as classified by the Actor.
  • Every number published about Google Trends Full Scraper is read from the Apify API rather than estimated, and any figure the register cannot source is not shown at all.
  • Google Trends Full Scraper is filed under seo tools and business so that it is found by the people looking for that job, not by its internal name.

Limitations

  • Google Trends Full Scraper reads only what its sources publish publicly. Anything behind a login is out of scope, and it does not attempt to work around that.
  • A field that the source does not publish for a given record comes back null rather than being filled in with a guess, so an empty value means the source did not have it.
  • Output quality is bounded by the source. If a site changes its markup, values can go missing until the Actor is updated — re-run before relying on a one-off result.
  • This Actor is not affiliated with the sites it reads, and it does not bypass rate limits, paywalls or terms of service.

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