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Web scraping

What is web scraping?

Web scraping is the automated extraction of data from websites. A program fetches a page, reads its HTML, and pulls out the specific values you want, prices, listings, reviews, contact details, then stores them in a structured form you can actually use. It is what you do when the data you need is published on the web but no API hands it to you cleanly.

The simplest scrapers download HTML and parse it. Many modern sites render their content with JavaScript after the page loads, so a scraper for those uses a headless browser like Playwright or Puppeteer to run the page the way a real browser would before reading it. A price-comparison service, for instance, might scrape dozens of retailer sites on a schedule, normalize the formats, and feed the result into a single searchable database. The output often becomes input for analytics or for training and feeding machine learning models.

Scraping comes with real constraints. Sites change their markup, so scrapers break and need maintenance. Terms of service, robots.txt, rate limits, and data protection law all set boundaries on what you can take and how. Responsible scraping respects those limits, throttles its requests, and prefers an official API whenever one exists. The technique is powerful, but it lives in a space where the legal and ethical lines matter as much as the code.

Web scraping at Dallonses

We build scrapers when the data a client needs is out there but locked in pages instead of APIs. One client needed to track how their products appeared across a long list of marketplaces, with no feed to rely on. We built a scraping pipeline on a headless browser, handled the sites that rendered late, normalized everything into one schema, and set it to run on a schedule with alerts when a source changed shape. The data landed clean and stayed current.

We are upfront about the limits, both the technical maintenance and the legal lines, and we design within them. The scraped data rarely sits on its own. It usually feeds a custom web application or a data analytics layer where it actually drives decisions. Built to be resilient when sites shift, throttled to stay a good citizen, and connected to the systems that turn raw pages into something a client can act on.

Data you need is on the web but not in an API? Let's get it out cleanly.

Talk to us about data extraction

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Close-up of an open computer with circuit board and components on a wooden desk
Bernat and Andreu collaborating at a desk with monitors and a laptop
Hand-drawn illustration of an open hand waving
Aymón holding a Tools magazine in front of their facem
Ari working on a laptop outdoors surrounded by plants
Top-down view of a wooden desk with a keyboard, mouse, and headphones
Hand-drawn illustration of a hand snapping fingers
Nico leaning against a water cooler next to a fire extinguishe
Close-up of an open computer with circuit board and components on a wooden desk
Bernat and Andreu collaborating at a desk with monitors and a laptop
Hand-drawn illustration of an open hand waving