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Specifically, we are going to take a close look at one of the most impactful technical SEO problems you can solve: identifying and removing crawler traps.
We are going to explore a number of examples – their causes, solutions through HTML and Python code snippets.
Plus, we’ll do something even more interesting: write a simple crawler that can avoid crawler traps and that only takes 10 lines of Python code!
My goal with this column is that once you deeply understand what causes crawler traps, you can not just solve them after the fact, but assist developers in preventing them from happening in the first place.
A Primer on Crawler Traps
A crawler trap happens when a search engine crawler or SEO spider starts grabbing a large number of URLs that don’t result in new unique content or links.
The problem with crawler traps is that they eat up the crawl budget the search engines allocate per site.
Once the budget is exhausted, the search engine won’t have time to crawl the actual valuable pages from the site. This can result in significant loss of traffic.
This is a common problem on database driven sites because most developers don’t even know this is a serious problem.
When they evaluate a site from an end user perspective, it operates fine and they don’t see any issues. That is because end users are selective when clicking on links, they don’t follow every link on a page.
How a Crawler Works
Let’s look at how a crawler navigates a site by finding and following links in the HTML code.
Below is the code for a simple example of a Scrapy based crawler. I adapted it from the code on their home page. Feel free to follow their tutorial to learn more about building custom crawlers.