Salary data is publicly available on dozens of platforms. The problem is not access. The problem is that reading it page by page, role by role, does not scale. Compensation researchers who need structured, comparable data across hundreds of roles end up spending most of their time copying and formatting rather than actually analysing. This guide covers how to extract salary data from role detail pages using the Minexa.ai Chrome extension, what fields you can expect to capture

Public statistical data is often the most reliable source available for sector-level research, and CBS publishes some of the most detailed enterprise statistics in Europe. The challenge is not finding the data. It is getting it out of the browser and into a format you can actually work with. This guide walks through how to extract structured enterprise statistics from CBS, the Dutch national statistics bureau, using the Minexa.ai Chrome extension. No code required. The target

Travel Wisconsin's food and drink directory lists hundreds of restaurants, bars, breweries, cafes, and distilleries across the state. If you want that data in a spreadsheet rather than clicking through pages one by one, the Minexa.ai Chrome extension handles the full extraction without any code. Here is the complete walkthrough, step by step. Watch the full tutorial first The video below covers the entire workflow from installing the extension to downloading your export. Watc

Metacritic's game browse page is one of the most complete public sources of critic-scored game data on the web. Every listing carries a Metascore, an ESRB rating, a release date, a full description, and a direct link to the game's detail page. If you are building a game analytics pipeline, a content recommendation engine, or a media intelligence feed, this is a dataset worth having in structured form. This guide walks through how to extract that data at scale using the Minexa

Media monitoring used to mean hiring analysts to read through dozens of publications every morning and manually log what they found. That approach does not scale, and it does not stay current. When a story breaks across multiple outlets at once, the window to act on it is short. Structured news data changes that equation entirely. With the right extraction setup, a monitoring firm can pull article titles, publication timestamps, author names, section tags, and summary text fr

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

Collecting clinical trial data by hand means opening dozens of pages, copying fields one by one, and hoping nothing changes between sessions. There is a faster way. The UCSF Clinical Trials browse directory lists active studies across conditions, phases, and study types. It is a structured, publicly accessible source that researchers, analysts, and health data teams regularly need in bulk. The problem is that the site was not built for export. Getting the data out in a usable

Every piece of data you have ever needed from a website was already sitting there, visible on the screen. The problem was never access. It was format. Web pages are built to be read by humans, not processed by spreadsheets. The information is real, it is current, and it is public. But it lives inside a visual layout designed for a browser, not inside the rows and columns your analysis needs. That gap between what you can see and what you can actually use is where most data co