![]() However, scraping external pages on each request results in drawbacks making this approach infeasible in most cases. In this approach each client requests results in our web application needs to fetch and process external data, before returning the results.Īs a result, data displayed to the users of our application will always be up to date. Periodically, store data, fetch from site.They differ by when the external data is fetched and how it is stored: There are 3 commonly found approaches to scrape and display content. Complexity: How complex is our solution?.Performance: What is the performance impact on our site, if we need to fetch external data?.Request Count: How many requests can we send to the scraped site(s)? Will we run into problems when calling external sites too frequently?. ![]() Timeliness: Do we need current data or is it okay if our data is a few seconds/minutes/hours/days/weeks old?.When choosing an approach for web scraping, we have to consider and balance a number of factors. In this post we'll see how Next.js and incremental static generation provide a great solution to this. Whether we need to gather listings for jobs or real estate ads, collect and summarize reviews, or compare prices, the number of possible use cases found on the web is nearly endless.ĭespite this task being so common, there is no standard way to approach it and depending on our approach we face different problems. Many sites depend on data scraped from external pages.
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