Interest over time
Awaiting dataUpload a Google Trends CSV to visualize actual search interest from 0–100.
Discover daily trending searches, inspect your exported Google Trends CSV data, and turn search-interest signals into faster content and SEO decisions.
Upload a Google Trends CSV to visualize actual search interest from 0–100.
Daily trending searches will appear here after a successful fetch.
Daily searches are sourced from Google Trends’ public RSS feed when available.
The Xi0 Google Trends Data Scraper helps marketers, creators, bloggers, ecommerce teams and SEO professionals find timely search demand without complicated dashboards. Use it to review public daily trending searches by country, open a targeted Google Trends exploration, or instantly analyze a CSV exported from Google Trends.
Trend data is especially useful when planning content around seasonal topics, breaking news, product launches and rising search interest. This free Google Trends keyword research tool keeps your workflow simple: identify a topic, validate its momentum, then export or copy your findings for a content brief, spreadsheet or campaign plan.
Yes. ToolsWeb on Xi0 is free to use and does not require an account or signup. You can fetch public daily trend data, analyze compatible CSV exports and download your results.
Google Trends values are normalized relative search-interest scores for the selected time and location. A value of 100 represents the highest popularity point in that specific comparison, not an exact search-volume count.
Yes. Export the “Interest over time” report from Google Trends as a CSV, then upload it to display the interest timeline, average score, high point and peak period. Processing happens locally in your browser.
Search behavior changes by language, local news, culture, events and timezone. Selecting a country helps uncover trends that matter to the audience you actually want to reach.
No. Google Trends is designed to show relative interest and momentum. Use it with keyword-volume platforms, Search Console and your analytics data when you need forecast or absolute-volume estimates.