Google Trends Scraper Pro – Compare Keywords, Regions, Related Queries & CSV Export

Get everything Google Trends shows you – as clean JSON and ready-to-open CSV files – for any keyword, any country and any time range. Compare up to 5 keywords on the same scale, get interest by state, city or metro, and pull top & rising related queries and topics. Built to not hang and not bill you for empty runs.

$0.005 per query ($5 per 1,000). Failed queries are never charged.

Why this scraper?

Most Google Trends scrapers on the market drive a full browser, are slow, get rate-limited and – the most common complaint – run for minutes and return nothing while still charging you. This one is different:

Problem with other scrapers	What Google Trends Scraper Pro does
Runs hang for 20+ minutes with no output	Lightweight HTTP client, typical query finishes in 3–10 seconds
Blocked by Google (HTTP 429) → empty dataset	Smart retry: exponential backoff + fresh cookies + new proxy IP on every retry
You pay even when nothing comes back	No data = no charge. Failed queries are logged with the reason, never billed
One term at a time	Compare up to 5 terms in one query, exactly like the Trends website
JSON only	CSV files for every query + one combined CSV, linked in each result
Only country-level data	Region resolution: country, state/region, city or US metro (DMA)

What you get

For every line in Search terms you get one result with:

• Interest over time – the 0–100 timeline for each term, with dates and partial-data flags
• Average interest per term for the period
• Interest by region – countries, states, cities or metros
• Related queries – top & rising, for each term
• Related topics – top & rising entities, for each term
• CSV download links – interest over time and interest by region
• Explore URL – open the exact same view on trends.google.com

Input example

{
  "searchTerms": ["chatgpt, gemini, claude", "electric car"],
  "geo": "US",
  "timeRange": "today 12-m",
  "regionResolution": "AUTO",
  "includeRelatedQueries": true,
  "includeRelatedTopics": true,
  "exportCsv": true,
  "proxyConfiguration": { "useApifyProxy": true }
}

• "chatgpt, gemini, claude" → one comparison query (3 terms on the same scale) = 1 result
• "electric car" → a single-term query = 1 result

Time ranges: past hour, 4 hours, day, 7 days, 30 days, 90 days, 12 months, 5 years, 2004–present, or a custom range like 2024-01-01 2024-12-31. Search type: Web, Images, News, Shopping, YouTube. Any Google Trends category ID.

Output example

{
  "query": "chatgpt vs gemini vs claude",
  "keywords": ["chatgpt", "gemini", "claude"],
  "geo": "US",
  "timeRange": "today 12-m",
  "averages": { "chatgpt": 74, "gemini": 27, "claude": 19 },
  "interestOverTime": [
    {
      "date": "2025-10-19T00:00:00.000Z",
      "formattedTime": "Oct 19 – 25, 2025",
      "values": { "chatgpt": 100, "gemini": 19, "claude": 6 },
      "isPartial": false
    }
  ],
  "interestByRegion": [
    { "geoCode": "US-NJ", "geoName": "New Jersey", "values": { "chatgpt": 65, "gemini": 20, "claude": 15 }, "hasData": true }
  ],
  "relatedQueries": {
    "chatgpt": {
      "top": [{ "query": "what is chatgpt", "value": 100, "formattedValue": "100", "link": "https://trends.google.com/trends/explore?q=what+is+chatgpt..." }],
      "rising": [{ "query": "chatgpt 5", "value": 4250, "formattedValue": "+4,250%", "link": "..." }]
    }
  },
  "relatedTopics": { "chatgpt": { "top": [], "rising": [] } },
  "csvInterestOverTimeUrl": "https://api.apify.com/v2/key-value-stores/.../records/001-chatgpt-vs-gemini-vs-claude-over-time.csv",
  "csvInterestByRegionUrl": "https://api.apify.com/v2/key-value-stores/.../records/001-chatgpt-vs-gemini-vs-claude-by-region.csv",
  "exploreUrl": "https://trends.google.com/trends/explore?q=chatgpt%2Cgemini%2Cclaude&date=today+12-m&geo=US",
  "status": "ok",
  "partialErrors": [],
  "durationSecs": 4.2
}

CSV (...-over-time.csv):

date,chatgpt,gemini,claude,isPartial
2025-10-19,100,19,6,false
2025-10-26,91,19,6,false

A combined long-format file ALL-interest-over-time.csv (query, date, keyword, value) is saved to the run's key-value store – perfect for Excel, Google Sheets, Looker Studio or pandas.

Use cases

• SEO & content planning – find rising queries before competitors, pick the keyword with more demand
• Market research – compare brands, products or categories across countries and states
• E-commerce & dropshipping – spot seasonal peaks and trending products (use Google Shopping search type)
• YouTube creators – measure topic demand on YouTube search specifically
• Finance & crypto – track retail attention on tickers and coins over time
• Dashboards & AI agents – schedule daily runs and feed the JSON/CSV to BI tools, Make, Zapier or LLM pipelines

Pricing

Pay-per-event: $0.005 per successful query (one line of search terms, up to 5 compared keywords) – that's $5 per 1,000 queries, with all sections (timeline, regions, related queries & topics, CSV) included. No data → no charge. You can cap spending with the Maximum cost per run setting; the scraper stops cleanly when the cap is reached.

Tips for large runs

• Keep Apify Proxy enabled (default). If you see many 429 retries in the log, switch the proxy group to RESIDENTIAL.
• Increase Delay between queries to 3–5 s for runs with hundreds of queries.
• Values are relative (0–100) inside one query. To compare terms with each other, put them on the same line.

FAQ

Are the numbers absolute search volumes? No – Google Trends only publishes relative interest (0–100). This is the same data you see on trends.google.com.

Why are related topics sometimes empty? Google doesn't publish them for every term/period (e.g. very small volume). The website shows the same empty list.

Can I use it via API? Yes – call it from the Apify API, the JS/Python client, Make, Zapier, n8n or as an MCP tool for AI agents.

Questions or a feature request? Open an issue on the Issues tab – we respond fast.