Google Trends Interest Scraper is a BrowserAct Bot template for collecting a structured trend report from public Google Trends Explore pages. Configure a keyword, country, time range, and count, then run the Bot to return interest-over-time points plus related query and topic sections when Google exposes them.

What Does BrowserAct Google Trends Interest Scraper Do?

This template opens public Google Trends, warms up the session, loads the Explore page, reads trend widget data, and returns one composite structured result for the requested keyword.

Key Features

Extract public Google Trends Explore data without requiring a Google login.
Capture keyword, country, time range, source URL, interest over time, related topics, and related queries.
Preserve ranked related rows with title, type, value, and trend status when available.
Use paced widget-data collection to reduce burst throttling.
Return empty arrays when Google does not expose related topics or related queries.

What Data Can I Extract from Google Trends?

Field	Description
`keyword`	Search term used in Google Trends.
`country`	Google Trends geography code.
`time_range`	Date token or range used for Explore.
`source_url`	Google Trends Explore URL used for the result.
`interest_over_time`	Time-series data points with date and 0-100 interest value.
`related_topics`	Ranked related topic rows when Google exposes them.
`related_queries`	Ranked related query rows when Google exposes them.

How to Use Google Trends Interest Scraper

Click Run task.
Enter a keyword.
Choose a country and time range.
Set the maximum count for each related section.
Run the Bot and review the structured trend report.

Input Parameters

Parameter	Required	Default	Description
`keyword`	Yes	`browser automation`	Search term to explore on Google Trends.
`country`	Yes	`US`	Google Trends geography code. Use an empty value for worldwide when supported.
`time_range`	Yes	`today 12-m`	Google Trends date token, such as `today 12-m`, `today 5-y`, `now 7-d`, `all`, or an explicit date range.
`count`	Yes	`10`	Maximum rows returned from each related topic or related query list.

Example Output

{
  "keyword": "browser automation",
  "country": "US",
  "time_range": "today 12-m",
  "source_url": "https://trends.google.com/trends/explore?date=today%2012-m&geo=US&q=browser%20automation",
  "interest_over_time": [
    { "date": "Aug 17, 2025", "value": 23 }
  ],
  "related_topics": [],
  "related_queries": []
}

How Does it Work?

How Google Trends Interest Scraper runs

BrowserAct first opens the Google Trends homepage to establish a public session, then loads the Explore URL built from the keyword, country, and time range inputs. This warm-up path avoids the cold deep-link behavior that can trigger a 429 page.

Google Trends renders charts from widget data rather than simple table text. BrowserAct reads the Explore widget responses, collects interest-over-time points, and fetches related topic/query sections with pacing and retry logic. Related sections can be empty when Google does not expose data for the keyword or temporarily throttles that widget.

How to Build a New Scraper Bot with Agent Built

Step 1: Describe the Data You Need

Open BrowserAct and start Agent Built from the Home prompt box or from Create -> Build with Agent. Paste a clear request that includes the website, the records to collect, the filters or search conditions, the fields to return, the result limit, and the inputs you want to reuse later.

Agent Built prompt templates

Step 2: Let BrowserAct Build and Test the Bot

BrowserAct explores the live website, works out the navigation and extraction path, and validates the result. If BrowserAct asks for clarification, reply in the same build conversation with the missing URL, condition, field, example, or expected output.

Agent Built exploration

Step 3: Run the Bot and Review the Result

When the build is complete, run the Bot with the default inputs first. Review the structured records, source URLs, missing fields, and row count before reusing the Bot with new inputs or connecting it to another workflow.

Agent Built run inputs

Agent Built run results

Why Scrape Google Trends?

Google Trends data helps teams track topic demand, compare seasonality, validate content ideas, monitor search interest, and feed trend signals into research or reporting workflows.

Who Can Use This Template?

SEO teams tracking keyword interest.
Content marketers validating topic demand.
Product marketers monitoring market momentum.
Analysts building trend dashboards.
Automation builders sending trend reports into sheets, databases, dashboards, or agents.

How Many Results Can You Scrape?

This template returns one composite trend report per run. Use count to limit rows inside related topics and related queries. The interest-over-time series length depends on the selected Google Trends time range.

Automation and Export

Automation and export flow

BrowserAct returns structured trend data first. You can then use the output through API JSON responses, n8n workflows, Make scenarios, Zapier automations, MCP-based agent workflows configured from the Bot's Integrations tab, or manual CSV review.

Need Help?

Contact us at

Discord: Discord Community

E-mail: service@browseract.com

Google Trends Interest Scraper

History

FAQ About the template

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