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Google Trends Scraper

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from $0.30 / 1,000 results

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Google Trends Scraper

Google Trends Scraper

Extract search interest data from Google Trends: interest over time, interest by region, related queries, and daily trending searches. Supports multiple keywords and countries in one run. No API key needed.

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from $0.30 / 1,000 results

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10

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16 days ago

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Google Trends Scraper — Extract Search Interest Data

google trends

Extract search interest data from Google Trends without an API key. Google Trends Scraper returns interest over time, interest by region, related queries, and daily trending searches for any keyword across any country — all as flat, CSV-ready records.

Try it free — your first $5 of usage is on Apify. No credit card required.

Google Trends Scraper is an unofficial Google Trends API that extracts search interest data using internal endpoints — no browser needed, making it fast and cheap. Unlike pytrends or manual exports, it runs in the cloud with automatic retries, proxy support, and multi-country batching.

Use Google Trends Scraper to:

  • 🔍 SEO & content strategy — find rising search terms to target with new content
  • 📊 Market research — compare brand or product interest across countries and time periods
  • 📈 Competitive analysis — track how competitor keywords trend vs. yours over time
  • 📅 Seasonal planning — identify when interest peaks for seasonal products or topics
  • 🔄 Automate trend monitoring — schedule runs, set up webhooks, and keep your datasets fresh

The Apify platform gives Google Trends Scraper built-in scheduling, API access, proxy rotation, and integrations with Make, Zapier, Google Sheets, and more — all out of the box.

For each keyword and country, the scraper returns four types of structured data:

📈 Interest over timeWeekly or daily search interest values (0–100 scale) with timestamps
🗺️ Interest by regionBreakdown by state, province, or subregion with region codes
🔍 Related queriesTop and rising related search terms with ranking scores
🔥 Daily trending searchesWhat's trending right now — traffic estimates and related news

All results are flat, one-row-per-data-point records that export cleanly to CSV or Excel. No nested JSON to untangle.

Each row includes a dataType field (timeline, geo, relatedQuery, or trending) for easy filtering.

Extracting Google Trends data takes under two minutes:

  1. Create a free Apify account at apify.com — your first $5 is free
  2. Open Google Trends Scraper in Apify Console or click Try for free on this page
  3. Add your keywords — up to 5 keywords are compared side by side per batch
  4. Select countries — pick one or more countries for multi-geo analysis
  5. Choose a time range — from past hour to since 2004, or a custom date range
  6. Click Start and wait a few seconds
  7. Download your results in JSON, CSV, Excel, XML, or HTML — or access them via API

Input example — keyword comparison

Compare two keywords across two countries:

{
"keywords": ["artificial intelligence", "machine learning"],
"geos": ["US", "ES"],
"timeframe": "today 12-m"
}

Get keyword analysis plus daily trending topics:

{
"keywords": ["bitcoin"],
"geos": ["US", "GB"],
"timeframe": "today 3-m",
"includeTrending": true
}

Input parameters

ParameterTypeDefaultDescription
keywordsstring[]requiredSearch terms to track. Up to 5 compared per group
geosstring[]["US"]ISO country codes (e.g. US, ES, DE). Empty = worldwide
maxResultsinteger500Maximum data points across all keywords/countries
timeframestringtoday 12-mTime range for analysis (see table below)
categoryinteger0Google Trends category ID (0 = all categories)
propertystringWeb SearchGoogle service: Web, Images, News, YouTube, or Shopping
includeTrendingbooleanfalseAlso fetch daily trending searches per country
hlstringen-USLanguage for results display

Available time ranges

ValuePeriodGranularity
now 1-HPast hourPer minute
now 4-HPast 4 hoursPer minute
now 7-dPast 7 daysDaily
today 1-mPast 30 daysDaily
today 3-mPast 90 daysDaily
today 12-mPast 12 monthsWeekly
today 5-yPast 5 yearsWeekly
allSince 2004Monthly
2024-01-01 2024-12-31Custom rangeVaries

Output example

Each result is a structured JSON object with a dataType field. Here are samples from real runs:

timeline — Interest over time

{
"dataType": "timeline",
"keyword": "artificial intelligence",
"geo": "US",
"date": "Jun 1 – 7, 2026",
"dateAxis": "1 jun 2026",
"timestamp": "1748736000",
"value": 88,
"timeframe": "today 3-m",
"category": 0,
"property": "web",
"hl": "en-US",
"scrapedAt": "2026-08-28T16:00:00Z"
}

geo — Interest by region

{
"dataType": "geo",
"keyword": "artificial intelligence",
"geo": "US",
"regionName": "California",
"regionCode": "US-CA",
"value": 100,
"timeframe": "today 12-m"
}
{
"dataType": "relatedQuery",
"keyword": "artificial intelligence",
"geo": "US",
"query": "ai chatbot",
"value": 100,
"formattedValue": "100",
"ranking": "top"
}
{
"dataType": "trending",
"geo": "US",
"title": "ChatGPT update",
"approxTraffic": "500K+",
"pubDate": "Thu, 28 Aug 2026 10:00:00 -0700",
"newsCount": 3,
"news": [
{
"title": "ChatGPT launches new feature",
"url": "https://example.com/article",
"source": "TechCrunch"
}
]
}

Download results in JSON, CSV, Excel, XML, or HTML from the Output tab, or pull them programmatically using the Apify API.

$0.30 per 1,000 data points (+ $0.002 per start). Your $5 free trial credit covers ~16,000 data points.

Tips for best results

  1. Compare competitors — put up to 5 brands or products in the keywords list to get comparative data in a single run
  2. Use topic IDs — instead of "python" (ambiguous: snake or language?), use topic ID "/m/05z1_" for Python the programming language. Find topic IDs in Google Trends autocomplete or the URL
  3. Pick the right timeframe — need daily granularity? Use today 3-m. Need the big picture? Use today 5-y or all
  4. Multi-country runs — add all countries in one run instead of running separately. The scraper handles throttling automatically

Integrations

Connect Google Trends Scraper to your workflow:

  • API — call programmatically via Apify API (Python, JavaScript, cURL)
  • Webhooks — trigger actions when a run completes
  • Zapier / Make — connect to 5,000+ apps
  • Google Sheets — export directly to a spreadsheet
  • Schedule — run daily, weekly, or monthly to track trends over time

Explore the full Rastriq intelligence portfolio on Apify Store:

ActorDescription
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Copy to your AI assistant

Copy the Apify Store URL for this Actor and paste it into ChatGPT, Claude, or any LLM with web access:

https://apify.com/rastriq/google-trends-scraper

The model will read the Actor description, input schema, and field list — then help you build the right API call or integration.

About the data

This Actor is built and maintained by Rastriq, a data intelligence company specializing in structured extraction for market research and competitive analysis. Browse our full field reference and methodology.

Frequently Asked Questions

Google does not offer a public API for Google Trends. Google Trends Scraper acts as an unofficial API by extracting data from Google Trends' internal endpoints — the same ones the website uses. No API key or authentication needed.

Google Trends Scraper uses the same internal endpoints as pytrends, but runs in the cloud with automatic retries, proxy support, and multi-country batching. No Python environment or server needed — just configure and run.

Can I compare more than 5 keywords?

Google Trends limits comparisons to 5 keywords at a time. If you provide more than 5, the scraper automatically batches them into groups of 5. Note that values between different batches use different normalization scales.

Why are values 0–100 instead of actual search volumes?

Google Trends normalizes data to a 0–100 scale relative to the peak value in your selected timeframe and region. A value of 100 means peak popularity, not 100 searches. This is how Google Trends works — it's not a limitation of the scraper.

Google Trends Scraper extracts publicly available data from Google Trends. As with any data collection, review Google's Terms of Service before using scraped data commercially. For guidance, see Apify's blog on the legality of web scraping.

I found a bug or my run failed. Where do I report it?

Please open an issue in the Issues tab. Include your input configuration and run ID so we can investigate quickly.