General

Hi, I did for my own purposes long time ago python library (GitHub - klepek/monday_library: Python library for Monday.com (formerly dapulse)), today I have released updated version for v2 api. Feel free to fork/submit pull requests if you will find this useful. It might be a bit ugly 🙂

is it possible to dump to (googlesheets) for example, pulses and there updates (example its new status & time date of change). we are trying to build analytics & dash boards with google data studio with pulse data that includes is status changes over time.

So under API v1, I was using the “/v1/boards/{board_id}/pulses.json” method to find the latest created pulse on a board. How can I do this with v2? I have: { boards(ids: 183208254) { items { id name } } } But not seeing what I can add to the items group to retrieve the creation date. Is there an alternate/better way to do this? Otherwise, when are webhooks coming out so I can capture the pulse creation that way? Best, Jake

axios({ url: ‘https://api.monday.com/v2’, headers: { Authorization: 'Bearer ’ + process.env.mondayToken }, method: ‘get’, data: { query: `query { boards(ids: ID_HERE) { description } }` } }).then((result) => { console.log(result.data.data.boards[0]) }) .catch(function (error) { console.log(error) }); }) } log returns { description: ‘post to [monday.com](http://monday.com/)’ }

Have Head Butted for a few hours how to change column values. this is the most frequent change and the most annoying. I get all the Query stuff and creating items seems to behave as well. Is Anyone else using Insomnia to do their trial and Error. Can someone share working examples for mutation { change_column_value( it’s the only one I can’t make work. I just need to see valid examples without the JSON.Stringify abstraction.

I’m wondering if the Grapghql schema supports filtering, or perhaps will in the future, so if I have a column type of date I can filter by upcoming dates? I’m not entirely sure if it does or not I’m just wondering if this kind of call is yet possible in V2. Thank you for any feedback here. Great work with choosing to use GraphQl as I know it a huge leap forward 🙂

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