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- Updating jaybizzle/crawler-detect (v1.2.80 => v1.2.116) |
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README.md |
About CrawlerDetect
CrawlerDetect is a PHP class for detecting bots/crawlers/spiders via the user agent
and http_from
header. Currently able to detect 1,000's of bots/spiders/crawlers.
Installation
composer require jaybizzle/crawler-detect
Usage
use Jaybizzle\CrawlerDetect\CrawlerDetect;
$CrawlerDetect = new CrawlerDetect;
// Check the user agent of the current 'visitor'
if($CrawlerDetect->isCrawler()) {
// true if crawler user agent detected
}
// Pass a user agent as a string
if($CrawlerDetect->isCrawler('Mozilla/5.0 (compatible; Sosospider/2.0; +http://help.soso.com/webspider.htm)')) {
// true if crawler user agent detected
}
// Output the name of the bot that matched (if any)
echo $CrawlerDetect->getMatches();
Contributing
If you find a bot/spider/crawler user agent that CrawlerDetect fails to detect, please submit a pull request with the regex pattern added to the $data
array in Fixtures/Crawlers.php
and add the failing user agent to tests/crawlers.txt
.
Failing that, just create an issue with the user agent you have found, and we'll take it from there :)
Laravel Package
If you would like to use this with Laravel, please see Laravel-Crawler-Detect
Symfony Bundle
To use this library with Symfony 2/3/4, check out the CrawlerDetectBundle.
YII2 Extension
To use this library with the YII2 framework, check out yii2-crawler-detect.
ES6 Library
To use this library with NodeJS or any ES6 application based, check out es6-crawler-detect.
Python Library
To use this library in a Python project, check out crawlerdetect.
JVM Library (written in Java)
To use this library in a JVM project (including Java, Scala, Kotlin, etc.), check out CrawlerDetect.
.NET Library
To use this library in a .net standard (including .net core) based project, check out NetCrawlerDetect.
Ruby Gem
To use this library with Ruby on Rails or any Ruby-based application, check out crawler_detect gem.
Go Module
To use this library with Go, check out the crawlerdetect module.
Parts of this class are based on the brilliant MobileDetect