Google Trends Scraper & API — Daily Trending Searches

Pull daily trending Google searches across US, GB, DE, RU, KZ, JP, BR, IN and 50+ markets with related news context — in one Apify run. This is a lightweight Google Trends scraper and API alternative for daily trends: RSS-backed, high-success, no Playwright, no proxy gymnastics, and ready for CSV/JSON export, content, SEO, and AI-agent workflows.

For implementation notes, examples, and SEO/GEO trend-monitoring workflows, see the Google Trends Tracker guide on Konabayev.com.

What it does

For each country code in your geos input, the actor fetches the day's top trending search queries plus the news articles Google associates with each trend (title, URL, publication source, snippet, picture). Results are pushed as structured records ready for analytics dashboards, CRM enrichment, content-planning workflows, or AI-agent ingestion.

Why this actor vs alternatives

Feature	Apify rivals (rental, $30/mo)	Google Trends API alternative
Pricing	rental subscription	pay-per-result, $0.001 per trend
Reliability profile	browser/runtime dependent	RSS endpoint, no JS render
Geos per run	1	unlimited list
News context	partial	full structured newsItems[]
AI agent / MCP-native	no (rental)	yes (PPE)
Setup latency	minutes (Playwright cold-start)	seconds (RSS fetch)

Input

{
  "geos": ["US", "GB", "DE", "RU"],
  "language": "en-US",
  "maxItems": 100,
  "includeNewsItems": true
}

Field	Type	Default	Notes
geos	string[]	["US"]	ISO country codes; pass several for cross-market scans
language	string	en-US	BCP-47 locale tag
maxItems	int	25	Hard cap across all geos (1–1000); raise for production
includeNewsItems	bool	true	Attach related news per trend

Ready-to-run presets

Use these as production starting points instead of a random demo input.

Daily US content brief

{
  "geos": ["US"],
  "language": "en-US",
  "maxItems": 25,
  "includeNewsItems": true
}

Multi-market SEO watch

{
  "geos": ["US", "GB", "DE", "IN"],
  "language": "en-US",
  "maxItems": 80,
  "includeNewsItems": true
}

RU/KZ trend pulse

{
  "geos": ["RU", "KZ"],
  "language": "ru-RU",
  "maxItems": 40,
  "includeNewsItems": true
}

Output

{
  "query": "champions league final",
  "geo": "GB",
  "language": "en-GB",
  "approxTraffic": "500K+",
  "pubDate": "Mon, 5 May 2026 14:30 GMT",
  "newsItems": [
    {
      "title": "Champions League Final Live: Real Madrid vs Borussia Dortmund",
      "snippet": "Goals, lineups and live commentary from Wembley...",
      "url": "https://www.bbc.co.uk/sport/football/...",
      "source": "BBC Sport",
      "pictureUrl": "https://t1.gstatic.com/..."
    }
  ],
  "newsItemCount": 5,
  "trendUrl": "https://trends.google.com/trends/explore?q=champions+league+final&geo=GB"
}

Use cases

• Content marketing teams — daily trend digest for newsroom briefs, blog ideation, social posting calendars
• SEO agencies — pair with tugelbay/keyword-rank-tracker to spot rising queries before they hit search-volume tools
• Investor / market intel — track what consumers are searching across markets in real time
• AI agents — give your assistant a "what's hot today" tool via PPE-billable Apify integration
• Cross-border arbitrage — see what's trending in market A that hasn't yet hit market B

Programmatic usage

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("tugelbay/google-trends-tracker").call(run_input={
    "geos": ["US", "GB", "JP"],
    "maxItems": 50,
})
for trend in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(trend["query"], "—", trend["approxTraffic"])

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_TOKEN" });
const { defaultDatasetId } = await client
  .actor("tugelbay/google-trends-tracker")
  .call({
    geos: ["US", "GB"],
    maxItems: 50,
  });
const { items } = await client.dataset(defaultDatasetId).listItems();
console.log(items);

LangChain tool

from langchain_core.tools import tool
from apify_client import ApifyClient

@tool
def whats_trending_now(country: str = "US") -> list[dict]:
    """Return today's top Google searches in {country}."""
    client = ApifyClient("YOUR_TOKEN")
    run = client.actor("tugelbay/google-trends-tracker").call(run_input={
        "geos": [country], "maxItems": 20,
    })
    return list(client.dataset(run["defaultDatasetId"]).iterate_items())

Pricing (PPE)

Event	Price
Actor start	$0.005
Daily-trend record	$0.001
News-item child	$0.0005 (when includeNewsItems=true)

The actor charges these PPE events explicitly: actor-start once per run, daily-trend once per returned trend record, and news-item for each attached related news item.

A typical 50-trend run with news: ~$0.005 + 50×$0.001 + 250×$0.0005 ≈ $0.18 per run.

Cost vs alternatives

• Pulling 100 trends/day × 30 days from rental rivals: $30/mo flat
• Pulling the same here: 30 × ~$0.30 = $9/mo (70% saving) and you only pay for runs you actually use

FAQ

Q: How fresh are the trends? A: Google's RSS feed is updated hourly; this actor returns whatever Google has staged for the requested geo at fetch time.

Q: Do I need an Apify proxy? A: No. RSS endpoint is public.

Q: Can I run this on a schedule? A: Yes — use Apify Schedules to run hourly/daily and pipe results into your dataset of choice.

Q: Why is my geo returning empty? A: Some smaller markets have sparse trending data. Try a major market (US, GB, DE, FR, JP) to verify the actor is functioning, then narrow to your target.

Q: How does it differ from keyword-rank-tracker? A: This finds what's trending; keyword-rank-tracker measures where you rank on a known keyword. Use both together — trends → rank check → optimize.

Limitations

• Google's RSS feed exposes only the top ~20 daily trends per geo — not the full long-tail trending list (that requires the Web UI behind their bot wall).
• Locale string must match Google's accepted set (e.g. en-US, not en_US).
• News-item arrays vary in length; some trends have 0 news items.

Changelog

• 0.1.0 (2026-05-05): Initial release — multi-geo, news-item enrichment, PPE pricing.