

Files can be in the form of a link to a cloud storage account or a file uploaded directly to a Slack server. Members = requests.get(channelsURL).It's inevitable that any productivity tool needs to give users the ability to share files. # this function get a list of users in workplace including bots # putting the channels and their ids into a dictonaryĬhannels] = channel Messages = requests.get(slack_url).json()įunction returns an object containing a object containing all theĬhannelList = requests.get(channelsURL).json() # an array of channels Slack_url = "" + token + "&channel=" + channelId # it will only get all the messages from the team-search channel # this function get all the messages from the slack team-search channel Follow this to generate a legacy-token if you do not want to use a token from your app. Once you grab all the messages you will need to see who wrote what message you need to do id matching(map ids to usernames) you can use getUsers() functions. And you can use the getChannels() function. You need a token which can be grabbed from apps management page. This should grab all the messages in channel. You would need to install requests package. With open('messages.json', 'w', encoding='utf-8') as f: Sleep(1) # need to wait 1 sec before next call due to rate limitsĬursor=response While len(messages_all) + MESSAGES_PER_PAGE <= MAX_MESSAGES and response: # get additional pages if below max message and if they are any Those can occur in the top level text property, but also in attachments and blocks.Ĭlient = slack.WebClient(token=os.environ)


Threads can be identified in the messages for each channel by checking for the threads_ts property in the message. Those have to be retrieved additionaly with one call to conversations.replies for every thread you want to retrieve messages for. Note that the conversations.history endpoint will not return thread messages. You can specify channel and max message to be retrieved.The result will be written to a file as JSON array.It will therefore work withĪny type of channel and can fetch large amounts of messages if It uses the official Python Slack library and callsĬonversations_history with paging.See below for is an example code on how to pull messages from a channel in Python.
