tap-facebook

So it installs easy and I can get data flowing, but quickly I get throttled. I've read from places that you should ask your rate limits to be increased. I started by asking for "Advanced access" on the permission

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, but I was rejected immediately. Reasons were: "Build a quality product" ... ? I'm just using Meltano and I don't have a product. Has someone gone through this process and has pointers on what to say, what's needed etc.

@ilkka_peltola I went through this ~1.5 years ago so things might have changed but I also got rejected the first time. I was also confused and thought the questions didnt necessarily apply to me so I explained I was simply pulling data using an open source connector thinking that would be enough, but after chatting with support they said I didnt give enough detail. So I created a more thorough screen cast explaining what I was trying to do, running it, and showing the output. I think I showed running the extractor on the command line using a small subset of data, explained what it was doing (i.e. extracting data using Singer tap with Meltano, running on and production EC2 instance), then showed it finished and the data arrived in the warehouse, and described briefly what the data was used for (i.e. my company's marketing team needs to analyze the data in our warehouse along with other data for reporting purposes, its not exposed to anyone outside our org, no UI exposing the data to clients etc.). I over explained as much as I could in each of the text boxes they provided so it was clear this was a serious production "app" but also not a client facing use case. Then I was approved! Maybe give something like that a shot 🤷

Thank you. This is a helpful response. I might give it another go then!

cc @Sven Balnojan @ilkka_peltola and @pat_nadolny - I've not used this app before but @pat_nadolny’s advise seems very helpful. @ilkka_peltola - Assuming you do get through this hurtle, it might be worthwhile to link back to this thread in our Hub docs - or to a StackOverflow Q&A, or similar - in case other users of

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run into the same issue.