Official list of user agents that are regarded as robots/spiders by Project COUNTER
Purpose of this list
The growing use of web crawler robots have the potential to inflate usage statistics. Only genuine, user-driven usage should be reported in usage statistics. This list can be used to determine whether a request is performed by a bot or if it is performed by a genuine user.
This list is open for extension and anyone can make a new pull request with new additions to this list. When proposing new bots it is important to give an explanation/argumentation on why you think that is a bot. It would also be appreciated if you can give a small description and eventually an url where the crawler comes from.
Merges of changes to the master branch will automatically trigger a new official release by the end of the day. At the end of each day when changes are made to master, a tag with the date is automatically made. Versions and changes can be viewed in CHANGES.md. CHANGES.md is manually updated and curated.
Format of the list
The list is available in a JSON format, this for the purpose so we can add extra data like date added, a description, an url, ... . Only the pattern field is obligatory, dates should be in the following format: YYYY-MM-DD. In the folder generated you can find the list in text format, this is a simplified format with one bot on each line. This file should NOT be edited, as it will be generated from the list in json-format. This derived list receives an automated update with each new release of the source list in json.
There is a script included called convert_to_text which will convert the list to a text file with a bot on every line. Just run the script in the same folder as the COUNTER_Robots_list.json file and it will generate a COUNTER_Robots_list.txt file (You need jq for this: https://github.com/stedolan/jq).
Case insensitivity of pattern-matching
When matching against the patterns in this list, we strongly advice you to use case-insensitive matching as there are multiple case-specific iterations of certain web crawler robots. Instead of matching these on a case by case basis, which would inflate the number of patterns,(For example, if we want to match 'bot', we can be fairly certain that 'BoT' is to be matched as well) case insensitive matching reduces the number of configs to take into consideration.