What is Web Scraping? A Beginner's Guide (2026)

What is Web Scraping?

Web scraping is the process of automatically extracting data from websites. Instead of manually copying information, a scraper reads the webpage's HTML and pulls out the data you need.

Common Use Cases

Price monitoring — Track competitor prices on e-commerce sites

Lead generation — Find contact information from company websites

SEO analysis — Extract meta tags, headings, and links from any page

Research — Gather data from multiple sources for analysis

Content aggregation — Collect articles, reviews, or comments

How Web Scraping Works

Step 1: Request

The scraper sends an HTTP request to a website (just like your browser does).

Step 2: Parse

The HTML response is parsed to find specific elements (titles, prices, emails, tables, etc.).

Step 3: Extract

Relevant data is extracted and structured into a usable format (JSON, CSV, spreadsheet).

Step 4: Store

Data is saved for analysis, monitoring, or further processing.

Web Scraping Without Coding

You don't need to write Python scripts or use complex tools. Krawly.io provides 63 public tools, including no-code scraping workflows:

Content Extractor — Pull main content, metadata, and image references from a page

Table Extractor — Extract HTML tables as structured data

Link Extractor — Get all links from a page

Lead Generation — Extract email addresses and other public contact details from websites

Just paste a URL, click "Run", and download the results as JSON or CSV.

Is Web Scraping Legal?

Web scraping public data is generally legal. However:

Always respect robots.txt files

Don't overload servers with requests

Don't scrape personal/private data

Check the website's Terms of Service

Comply with data protection laws (GDPR, CCPA)

Krawly handles rate limiting and respects robots.txt automatically.

Get Started

Try scraping your first website — no signup required:

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What is Web Scraping? A Beginner's Guide (2026)