DomCop is a domain research platform that surfaces domain authority metrics, open pagerank scores, and web asset statistics across millions of indexed domains. The stats page at domcop.com/stats aggregates this data into a structured listing format, making it a useful source for SEO analysts, domain investors, and data teams building competitive intelligence pipelines. This guide walks through extracting that data programmatically using the Minexa API, a deterministic AI web

Tracking used car prices across a city like Mumbai page by page is the kind of task that sounds manageable until you actually try it. CarTrade lists hundreds of second-hand vehicles with prices, mileage, fuel type, and photo galleries per listing. Getting all of that into a spreadsheet manually takes hours. This guide shows how to do it in minutes using the Minexa.ai Chrome extension. Watch the full tutorial first The video below walks through the entire extraction from openi

Government form catalogues hold more structured data than they appear to at first glance. The Service Canada eForms catalogue lists hundreds of official government forms across departments including Employment and Social Development Canada, Human Resources and Social Development Canada, and others. Each entry carries a form code, a descriptive title, an issuing department, and a link to the form detail page. Collecting that data manually, row by row, across multiple pages is

Foundit is one of Southeast Asia's most active job platforms, and its Philippine portal at foundit.com.ph lists thousands of accounting, finance, and professional roles updated daily. If you are building a hiring intelligence tool, a salary benchmarking dataset, or a job market tracker, that volume of structured listing data is exactly what you need. The challenge is getting it out in a usable format without writing and maintaining a custom scraper from scratch. This guide sh

Tracking every press release, product announcement, and leadership update from a fast-moving digital bank like Starling Bank by hand is the kind of task that sounds manageable until you actually try it at scale. Starling Bank's news page at starlingbank.com/news/ publishes a steady stream of articles covering everything from AI feature launches and bond issuances to SME research and leadership appointments. If you need that data in a structured format for competitive monitori

Zerodha publishes sector-level stock listings that are genuinely useful for anyone tracking Indian equity markets by industry. The agriculture sector page, for example, lists every company in that category with its market capitalization and current trading price. The data is public, it updates regularly, and it covers dozens of companies per sector. The challenge is that it sits inside a web page with no export button and no API. Getting it into a spreadsheet the manual way m

Franchise and business opportunity data changes constantly. Listings appear, prices shift, categories expand. If your pipeline depends on that data being current and structured, manually checking Seek Business page by page is not a sustainable approach. This guide walks through how to extract franchise and business listing data from Seek Business (seekbusiness.com.au) using the Minexa API — a two-phase workflow where you train a scraper once using the Minexa Chrome extension,

ALDI Australia runs a rotating Special Buys catalogue that changes weekly, and the Pantry Staples theme alone can list dozens of branded grocery products in a single session. If you want that product data in a spreadsheet without copying it row by row, this guide shows you exactly how to do it using the Minexa.ai Chrome extension. Watch the full walkthrough first, then follow the steps below. What page are we scraping? The starting URL is the ALDI Special Buys page filtered t

Trading Economics publishes a live stream of commodity prices, currency rates, and market indicators across hundreds of instruments. The data is public, structured, and updates continuously. Getting it into a pipeline programmatically is a different story. This guide walks through how to extract structured alternative data from tradingeconomics.com/stream using the Minexa API. The workflow has two phases: train a scraper once using the Minexa Chrome extension, then call the A

Collecting job listings from Adzuna manually means opening pages, copying rows, and repeating that across dozens of search result pages. The Minexa API replaces that entire process with a single trained scraper and a POST request. This guide walks through how to extract structured job data from adzuna.com.au using the Minexa API, covering the full workflow from training the scraper to calling the API and working with the fields it returns. Before and after: navigating to Adzu

Legal and compliance data scattered across dozens of pages is genuinely difficult to work with. LegalDesk publishes a wide catalogue of contract templates, agreement guides, and compliance documents, and getting that content into a structured format manually takes far longer than it should. This walkthrough shows how to extract that data using the Minexa.ai Chrome extension in a few minutes, no code required. Watch the full tutorial first Outcome: a confirmed starting point o

Indonesia's logistics sector spans hundreds of verified freight forwarders, cargo agents, and supply chain operators, all listed publicly on Indonetwork (indonetwork.co.id). Getting that data into a spreadsheet manually is slow and error-prone. This guide shows how to extract it in minutes using the Minexa.ai Chrome extension, no code required. Stage 1: Open the directory and launch the extension Navigate to the Indonetwork cargo and logistics company directory at indonetwork

IMDb holds some of the most detailed publicly available entertainment data on the internet. Episode lists, air dates, ratings, cast details, and season breakdowns are all sitting right there on the page. The problem is that none of it is structured in a way you can actually work with. If you have ever tried to copy episode data from IMDb into a spreadsheet manually, you already know how quickly that falls apart. This post walks through how to extract that data cleanly using t

Commercial property data sitting inside a browser tab is not useful to a pipeline. Structured rows in a dataset are. This guide shows how to extract commercial real estate listings from OnTheMarket using the Minexa API, covering every step from scraper training to a working Python request. Watch the full walkthrough first The video below covers the complete extraction workflow on OnTheMarket's commercial listings page for Kent. Watch it before going through the screenshots so

The London Metal Exchange publishes a steady stream of market reports, press releases, member notices, and metal price pages. If you are tracking copper warrant stocks, monitoring off-warrant reporting changes, or building a dataset of LME announcements over time, the search interface at lme.com/search?searchTerm=stocks surfaces exactly the kind of structured content you need. The problem is that it is all locked inside a web page, not a spreadsheet. This guide walks through

Event data sitting behind a paginated listing page is useful only when it is structured, repeatable, and accessible without manual copying. Live Nation Asia publishes a full event directory at livenation.asia/event/allevents, and the Minexa API gives developers a direct path from that page to a clean JSON dataset they can query, store, or pipe into any downstream system. This guide walks through the complete workflow: training a scraper once using the Minexa Chrome extension,

Bilingual food and grocery data sitting inside a translation database is not the most obvious scraping target. But if you work in food labelling, cross-border product research, or multilingual content, Linguee is one of the few places where real-world sentence pairs from verified sources are publicly available at scale. This guide walks through how to extract that data from Linguee (linguee.com.br) using the Minexa.ai Chrome extension, with no code required. Before getting in

BSE India publishes live derivatives market data on its streamer page, and that data updates constantly. If you want to capture it, analyze it, or track it over time, copying rows manually is not a realistic option. This guide shows exactly how to extract it using the Minexa.ai Chrome extension, step by step, with no code required. The target page is the BSE India equity streamer market watch at bseindia.com/eqstreamer/streamermarketwatch?flag=2. It lists the most active SENS

Collecting job listing data from Doda, one of Japan's largest job platforms, by hand is slow and breaks down quickly once you need more than a handful of records. Each company card on Doda surfaces multiple job references, salary structures, and linked detail pages, and copying that manually across hundreds of pages is not a realistic workflow. This guide walks through exactly how to extract that data using the Minexa.ai Chrome extension, no code required, starting from the c

The OSPI Online Learning Course Catalog lists every state-approved online course available to Washington K-12 students, including provider names, grade eligibility, course levels, and direct links to provider PDFs. Pulling that data manually means clicking through paginated tables and copying rows one by one. The Minexa API removes that entirely. Watch the full extraction walkthrough before diving into the steps below. What the extracted data looks like Here is a sample of wh