Google Trends Scraper — All Data Types, Reliable

What does this Google Trends Scraper do?

Complete Google Trends data as clean JSON — the pytrends alternative that just works, with all five data types in one Actor:

• Interest over time — the classic 0–100 trend curve for any time range
• Interest by region — country/state/city breakdown
• Related queries — top and rising, the data most tools skip
• Related topics — top and rising
• Trending searches — what's trending right now, per country

Works for Web, YouTube, News, Images and Shopping search. Batch keywords via input list or a Google Sheet. Built HTTP-only: no browser, no timeouts, no 4 GB memory bills.

Why this Actor?

The most-used Google Trends actor in the store fails or times out on ~30% of its runs (public Apify run stats, August 2026) and is rated 3.2★ — its headless-browser architecture waits up to 180 seconds for pages that never finish. Popular alternatives skip related queries entirely.

	This Actor	Most-used alternative
Run reliability	HTTP-only, fail-soft, designed >98%	~70% (public stats 08/2026)
Related queries & topics	✔ top + rising	✔ (when it finishes)
Memory needed	256 MB	4,096 MB
Failed keywords	error item, never charged	run hangs or dies
One bad keyword in a batch	others still delivered	often kills the run

Fail-soft promise: you never get an empty run. Keywords that Google blocks are returned as error items — visible, retryable, and never charged.

How much does it cost?

What	Price
Actor start	$0.005
Complete keyword analysis (timeline + regions + related)	$0.005
Trending search item	$0.0008

A full keyword analysis costs about $0.01 — SerpApi charges $0.025 for less, and browser-based actors burn more than that in compute alone. 100 keywords ≈ $0.51.

Input example

{
    "operation": "keywords",
    "keywords": ["ai agents", "web scraping"],
    "timeRange": "today 12-m",
    "geo": "US"
}

Or point it at a public Google Sheet with keywords in the first column (spreadsheetUrl) — perfect for batch jobs and recurring schedules.

Output example

{
    "keyword": "ai agents",
    "geo": "US",
    "ok": true,
    "interestOverTime": [{ "date": "Aug 2025", "ai agents": 64 }],
    "interestByRegion": [{ "region": "California", "value": 100 }],
    "relatedQueries": { "top": [], "rising": [{ "query": "ai agent tools", "formattedValue": "+350%" }] },
    "relatedTopics": { "top": [], "rising": [] }
}

FAQ

Is this a pytrends replacement?

Yes. pytrends was archived in April 2025 and no longer works. This Actor uses the same internal API the Google Trends website uses, maintained daily, with proper session handling — callable from Python, n8n, Zapier, Make or as an MCP tool for AI agents.

Why do I need residential proxies?

Google rate-limits datacenter IPs aggressively. The default configuration uses Apify residential proxies; the HTTP-only design keeps traffic (and cost) tiny — a keyword needs ~0.2 MB, not the multi-megabyte page loads of browser actors.

Can I compare multiple keywords?

Up to 5 keywords per chart (like the Google Trends UI), unlimited keywords per run — each gets its own complete analysis.

What time ranges are supported?

Past 7 days to "2004 – present", including custom ranges. Note that Google normalizes values to 0–100 per request.