This is a community-contributed list of referrer spammers maintained by Piwik, the leading open source web analytics platform.
The list is stored in this repository in spammers.txt. This text file contains one host per line.
You can download this file manually, download the whole folder as zip or clone the repository using git:
git clone https://github.com/piwik/referrer-spam-blacklist.git
If you are using PHP, you can also install the list through Composer:
composer require piwik/referrer-spam-blacklist
Parsing the file should be pretty easy using your favorite language. Beware that the file can contain empty lines.
Here is an example using PHP:
$list = file('spammers.txt', FILE_IGNORE_NEW_LINES | FILE_SKIP_EMPTY_LINES);To add a new referrer spammer to the list, click here to edit the spammers.txt file and create a pull request. Alternatively you can create a new issue. In you issue or pull request please explain where the referrer domain appeared and why you think it is a spammer.
If you open a pull request, it is appreciated if you keep one hostname per line, keep the list ordered alphabetically, and use Linux line endings.
Please search if somebody already reported the host before opening a new one.
To keep the list sorted the same way across forks it is recommended to let the computer do the sorting. The list follows the merge sort algorithm as implemented in sort. You can use sort to both sort the list and filter out doubles:
sort -uf -o spammers.txt spammers.txt
This list of Referrer spammers is contributed by the community and is provided as is. Use at your own discretion: it may be incomplete (although we aim to keep it up to date) and it may contain outdated entries (let us know if a hostname was added but is not actually a spammer).
Public Domain (no copyright).