Supply chain data is everywhere on the web, but getting it into a spreadsheet without copying it line by line is a different story. This walkthrough shows how to pull structured article data from SupplyChainBrain, one of the most referenced logistics and supply chain publications, using the Minexa.ai Chrome extension. The starting URL for this tutorial is the logistics service providers directory: https://www.supplychainbrain.com/directories/98-supplier-directory/topic/1254-l

Michael Page publishes hundreds of active job listings across London every day. If you want that data in a spreadsheet, structured and ready to analyse, the Minexa.ai Chrome extension gets you there without writing a single line of code. This walkthrough covers the full extraction process from the michaelpage.co.uk/jobs/london page, showing exactly what you see at each step and what to do. Watch the full tutorial first The video below covers the complete workflow from install

Government procurement portals publish some of the most consistently structured public data available online. OregonBuys, Oregon's centralized public purchasing system at oregonbuys.gov, lists open bids from state agencies, counties, school districts, tribal organizations, and public utilities all in one place. The data is public, updated regularly, and genuinely useful for vendors tracking opportunities, researchers monitoring public spending, and analysts building procureme

FRED publishes hundreds of commodity price series, all publicly accessible, all updated regularly. The problem is that the data sits inside a category listing page that was built for browsing, not for export. Getting it into a spreadsheet means either copying rows one by one or building something custom. Neither option scales. This guide shows how to extract structured commodity price data from fred.stlouisfed.org using the Minexa.ai Chrome extension, no code required. Watch

Flight route data from Kayak is genuinely useful for travel research, price monitoring, and competitive analysis. This guide walks through exactly how to extract it using the Minexa.ai Chrome extension, no code required. Watch the full tutorial first Before going through the steps below, watch the video walkthrough. It covers the entire extraction from start to export in a single session. Checkpoint 1: open Minexa.ai and navigate to Kayak Install the Minexa.ai Chrome extensio

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

Most people who try web scraping for the first time give up before they collect a single useful row of data. Not because the data is not there. It is right there on the screen. The problem is everything that sits between the visible page and a clean, usable spreadsheet. This post is about that gap, what causes it, and what it actually takes to close it. The problem looks smaller than it is When someone decides to start collecting web data without a technical background, the f

Naukri lists thousands of H1 visa sponsorship roles across India, covering everything from immigration consulting to senior engineering positions. The data is public and updated frequently, but collecting it in a structured form manually is slow and hard to repeat. This walkthrough shows how to extract that data using the Minexa.ai Chrome extension, no code required. Watch the tutorial first The video below covers the full extraction from start to export. Watch it once before

Comcast files regularly with the SEC, and all those filings are listed publicly on cmcsa.com. The page covers everything from 8-K material event reports to proxy statements, Form 4 ownership changes, and Schedule 13G disclosures. Getting that data into a structured format manually means copying row by row. Here is what the extracted output actually looks like, and how to get it in minutes using the Minexa.ai Chrome extension. What the extracted data looks like Each row in the

Eventbrite lists thousands of online webinars at any given time. Collecting that data manually, event by event, is slow and does not scale. This guide shows how to extract structured webinar listings from Eventbrite using Minexa.ai, a no-code Chrome extension that turns any page into a structured dataset in minutes. What you get out of the extraction Before walking through the steps, here is a quick checklist of what Minexa pulls from the Eventbrite webinar listing page: Even

Every week, people post requests asking developers to pull data from public websites. The requests are specific: permit volumes by city, trend breakdowns by region, structured output in CSV or spreadsheet format. The person posting knows exactly what they want. They just do not know how to get it without hiring someone. That gap between knowing what data you need and being able to collect it yourself is where a lot of time and money quietly disappears. And in most cases, the

You open a website. The data you need is right there, laid out in rows, clearly labeled, exactly what your project requires. Then you realize you have to get it out of the page and into a spreadsheet, and that is where things stop being simple. Copying row by row is not realistic if there are hundreds of results. Building a scraper requires knowing how the site is structured in code. Hiring someone to do it takes time and budget you may not have. And if the site updates its l

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

The NC.gov grant opportunities page lists every active state grant program in one place, organized by category. Getting that data into a spreadsheet manually means copying row by row across dozens of programs. With the Minexa.ai Chrome extension, the whole page becomes a structured dataset in a few minutes. Here is exactly what the process looks like, step by step. What data you get Each row on the NC.gov grant opportunities page contains four fields Minexa extracts cleanly: