What is web scraping?
Web scraping is the automatic extraction of data from websites. Instead of manually copying prices, product names or reviews, you let a software program do the work. A scraper navigates through a website, finds the right data on each page and saves it in a structured format like CSV, JSON or a spreadsheet.
Where a human spends hours copying 100 products, a scraper retrieves the same data in seconds. For large catalogs or daily price checks, manual work is simply no longer feasible. Web scraping makes it possible to collect data at scale, automate it and reuse it.
How does web scraping work?
Web scraping works in three steps: navigate, select and extract. Below we explain each step.
1. Navigate - traversing the website
The scraper starts at a specified URL and follows links to subpages. In a webshop, the scraper navigates from the category page to individual product pages, for example. Pagination (page 1, 2, 3...) and 'Load more' buttons are also followed automatically.
2. Select - finding data on the page
On each page, the scraper searches for specific elements using CSS selectors or XPath. These selectors work like addresses: they tell the scraper exactly where the product name, price, description or image is on the page. Channify configures these selectors for you - you don't need to know HTML or CSS.
3. Extract - saving data
The found data is read and saved in a structured format. Depending on your needs, we deliver CSV, JSON, Google Sheets, an API connection or a direct sync with Shopify or Channable.
Web scraping vs. web crawling
Although the terms are often used interchangeably, they are two different things:
- Scraping is extracting specific data (prices, names, reviews) from web pages
- Crawling is systematically traversing a website to discover and index pages
- In practice, you combine both: the crawler navigates the site, the scraper retrieves the data
Why businesses use web scraping
More and more businesses are discovering that data provides a competitive advantage. Web scraping makes it possible to collect market data that would otherwise be inaccessible. The most common applications are:
- Price monitoring - tracking competitor prices daily
- Competitor analysis - comparing assortment, stock and product data
- Lead generation - collecting company data and contact details from online directories
- Market research - analyzing reviews, sentiment and market trends
Which techniques are used?
Depending on the complexity of the source website, different techniques are used. Below are the most important ones:
CSS selectors
The most commonly used method. CSS selectors target specific HTML elements based on their class, id or structure. For example: .product-price for the price, .product-title for the product name. This works well for static websites where the content is directly in the HTML.
JavaScript rendering
Modern websites load content dynamically with JavaScript. Think of infinite scroll, 'Load more' buttons or AJAX pagination. For these sites, Channify uses headless browsers in the cloud that execute JavaScript before the data is extracted. This means even complex single-page applications work.
Cloud scraping vs. browser extension
There are two ways to scrape, each with its own use case:
- Browser extension - free, runs locally in your browser. Suitable for one-time extractions, but your browser must stay open and it doesn't scale
- Cloud scraping - paid, runs 24/7 on servers. Suitable for daily automation, scales to thousands of pages, with IP rotation and anti-bot bypass
Channify uses cloud scraping for all services. This means your scraper runs 24/7 without your computer needing to be on. With 99.9% reliability through IP rotation and automatic CAPTCHA bypass.
Is web scraping difficult?
That depends on the website. A simple static site is relatively easy to scrape. But modern websites with JavaScript, anti-bot protection (Cloudflare, DataDome), or complex pagination require expertise and advanced tooling.
Channify takes all the complexity off your hands. Edwin builds, configures and manages your scraper personally. You specify which data you want and from which website - the rest is taken care of for you. No code, no configuration, no technical knowledge needed.
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