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Pulling financial data into Google Sheets: why the easy methods break and what actually works
Building a portfolio dashboard in Google Sheets sounds like a weekend project. Then you realize that the built-in spreadsheet functions only go so far, the data you actually need is not available through any official API, and every workaround you try either breaks silently or stops working after a few days. That gap between what you can see on a financial website and what you can reliably use in a spreadsheet is where most self-built dashboards stall. This post is about why t

Minexa.ai
Jul 156 min read
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How to scrape environmental data from OpenEI using the Minexa.ai extension
OpenEI hosts one of the most comprehensive collections of publicly available energy and environmental datasets. The data is there, clearly listed, but getting it into a spreadsheet or a structured file requires clicking through pages and copying entries one by one. This walkthrough shows how to extract that data automatically using the Minexa.ai Chrome extension, with no code required. Watch the extraction in action Before going through the steps, watch the full tutorial belo

Minexa.ai
Jun 304 min read
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10 output formats and export behaviors every Minexa.ai user should understand
Most people focus on getting data out of a website. Fewer think carefully about what that data looks like once it arrives. Here is what you actually need to know about how Minexa.ai structures and delivers your extracted data. 1. Excel is the default, and it is already structured When you run a scraping job in Minexa.ai, the default export format is Excel (.xlsx). The file is not a raw dump. Each result gets its own row, and each data point gets its own column. If you scraped

Minexa.ai
Jun 173 min read
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