This makes it relatively straightforward to isolate log entries created by good bots: Well-behaved bots identify themselves is the user agent portion of the combined log format. htaccess.įinding robots is a more advanced application of analyzing traffic metrics, so this article assumes you’ve already read through the basics in Apache Traffic Analysis. Once you’ve identified the bots on your own site, you can optimize good ones by altering robots.txt or block bad ones by IP address in. In this article, we’ll survey several techniques for identifying both good and bad bots by analyzing Apache log data. Identifying potential bot traffic in Sumo Logic
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Their intent can even be more malicious, including denial-of-service attacks and automated security vulnerability checking. They not only consume server resources to the detriment of your human users, but often scrape proprietary information for their own use. For example, you typically want Googlebot to crawl your site so that it shows up in search engine results.īad bots, on the other hand, don’t play by the rules. They also provide some kind of value to your company in return for the bandwidth required to serve them.
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Good bots identify themselves in their user agent string and obey the rules set forth in your robots.txt file. Two kinds of robots crawl your website: good bots and bad bots. Gain Deep Insight into the Robots crawling your Apache Web server