This repository contains a list of of HTTP user-agents used by robots, crawlers, and spiders as in single JSON file.

Download the crawler-user-agents.json file from this repository directly.

crawler-user-agents is deployed on npmjs.com: https://www.npmjs.com/package/crawler-user-agents

To use it using npm or yarn:

npm install --save crawler-user-agents
# OR
yarn add crawler-user-agents

In Node.js, you can require the package to get an array of crawler user agents.

const crawlers = require('crawler-user-agents');
console.log(crawlers);

Each pattern is a regular expression. It should work out-of-the-box wih your favorite regex library:

• JavaScript: if (RegExp(entry.pattern).test(req.headers['user-agent']) { ... }
• PHP: add a slash before and after the pattern: if (preg_match('/'.$entry['pattern'].'/', $_SERVER['HTTP_USER_AGENT'])): ...
• Python: if re.search(entry['pattern'], ua): ...

I do welcome additions contributed as pull requests.

The pull requests should:

• contain a single addition
• specify a discriminant relevant syntactic fragment (for example "totobot" and not "Mozilla/5 totobot v20131212.alpha1")
• contain the pattern (generic regular expression), the discovery date (year/month/day) and the official url of the robot
• result in a valid JSON file (don't forget the comma between items)

Example:

{
  "pattern": "rogerbot",
  "addition_date": "2014/02/28",
  "url": "https://moz.com/help/pro/what-is-rogerbot-",
  "instances" : ["rogerbot/2.3 example UA"]
}

The list is under a MIT License. The versions prior to Nov 7, 2016 were under a CC-SA license.

There are a few wrapper libraries that use this data to detect bots:

• Voight-Kampff (Ruby)
• isbot (Ruby)
• crawlers (Clojure)
• crawlerflagger (Go)
• isBot (Node.JS)

Other systems for spotting robots, crawlers, and spiders that you may want to consider are:

• Crawler-Detect (PHP)
• BrowserDetector (PHP)
• browscap (JSON files)