Understand how web scraping works, the difference between data scraping, screen scraping, and web scraping, popular scraping tools, and how to extract data to JSON online without code.
Web scraping (also called web data extraction or web harvesting) is an automated technique used to collect publicly available content and data from websites. Instead of manually copying and pasting text, prices, or product information, a scraper program fetches the page HTML and parses key elements into organized data formats like JSON or CSV.
1. Requesting the Page
The scraper sends an HTTP GET request to the target web server, retrieving the raw HTML document just like a web browser.
2. Parsing the HTML DOM
The parser analyzes tags, CSS selectors, classes, or hydration states (like __NEXT_DATA__ and JSON-LD microdata).
3. Exporting to JSON or CSV
The extracted data is cleaned, structured, and exported as clean JSON or ready-to-open spreadsheet CSV files.
Key Differences: Web Scraping vs Screen Scraping vs Data Scraping
Term
Target Source
Extraction Method
Primary Output
Web Scraping
Webpages & HTML websites
HTTP requests, DOM parsing (Cheerio, Beautiful Soup, XPath)
Structured JSON, CSV, API payloads
Data Scraping
Any digital documents, databases, files, or reports
Broad automated parsing, regex, file extraction
Spreadsheets, databases, structured tables
Screen Scraping
Desktop GUIs, terminal screens, virtual displays
Pixel OCR, window handles, text buffer capture
Raw text, visual recordings, automation inputs
Popular Web Scraping Tools & Frameworks
Depending on your technical expertise, there are several methods for scraping web data:
No-Code Online Scrapers (Scrapify)
Ideal for non-developers or quick extraction. Paste a URL into Scrapify to get product data, tables, and JSON instantly with no setup.
Python Web Scraping (BeautifulSoup, Scrapy)
Traditional choice for programmers. Flexible and powerful, but requires local environment setup, proxy management, and coding maintenance.
Headless Browsers (Playwright, Selenium)
Automates real browser engines to execute complex JavaScript, SPA actions, and user interactions at the cost of higher CPU/memory usage.
Developer APIs that return clean Markdown or JSON from URLs for AI models (LLMs like Claude and ChatGPT) without browser infrastructure.
Frequently Asked Questions About Web Scraping
Using a no-code tool like Scrapify. Just paste any product link, e-commerce catalog, or website URL to generate clean JSON or export CSV spreadsheets immediately.
Scraping publicly available data (such as product prices and public articles) is legal in many jurisdictions, provided you respect copyright, do not access data behind a login wall, and avoid overloading website servers.
AI scraping leverages large language models (LLMs) to automatically understand unstructured web page content, dynamically identify titles, specs, and prices, and feed clean context directly to AI workflows.