Curious about the differences between web scraping and web crawling? 🤔 In this video, we'll break down everything you need to know, from what each process involves to when and how you might use them. By the end, you’ll clearly understand web scraping vs web crawling and how these strategies can be used in data extraction and beyond.
Skip to the bit that interests you:
00:00 What is Web Crawling?
00:33 Examples of Web Crawling
01:19 What is Web Scraping?
01:33 Examples of Web Scraping
02:06 Key Differences Between Web Crawling and Web Scraping
02:33 When to Use Both Together: Combining Crawling and Scraping
02:52 How to Get Started with Web Scraping
Some FAQs:
âť“What is web scraping?
Web scraping is the automated process of extracting specific data from websites to convert it into a structured format for analysis or use.
âť“ What is web crawling?
Web crawling is the automated process of systematically browsing the internet to index and gather information from web pages, often for search engines to organize and retrieve content efficiently.
âť“ What is the main difference between web scraping and web crawling?
The main difference is in their goals. Web crawling involves automatically browsing the web and gathering links or information for indexing, whereas web scraping focuses on extracting specific data from selected web pages.
âť“ How can web scraping help with price monitoring?
Web scraping can automatically extract pricing data from competitor websites, allowing you to monitor market trends and adjust your pricing strategies accordingly.
âť“ Can web scraping and web crawling be used together?
Yes! You can use web crawling to navigate through multiple pages and then apply web scraping to extract specific data from those pages.
âť“ Is it possible to schedule scraping sessions?
With our Scraping APIs, you can schedule scraping sessions to ensure you always have up-to-date data automatically delivered.
Join the Conversation. Let us know in the comments what else you’d like to learn about web scraping or crawling! Don’t forget to like, comment, and subscribe for more insights on data extraction and web technologies.