what's the current limit of the number of tables you can chain together with the "write to" enrichment? I saw last June the suggestion was no more than 5 tables... has that changed?
When sharing workbooks as templates, you are limited to 5 tables per shared workbook. However, for regular workbook usage and 'write to' table enrichments, there is no specified limit on the number of tables that can be chained together. Source: Metaprompter, shared workbooks, new hire signals, Outreach integration, and more!
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Hey, thanks for reaching out - It's 10! More than 10, it'll break the entire workspace so we block it! :) - Happy Saturdayπ
Hey! Let me clarify - you actually can't have 10 tables all connected together, regardless of how many "write to table" it has. Even if you're trying to write multiple columns to Table X, having 10 interconnected tables won't work in this case. That's because it becomes too data intensive.
Ok, so what is the limit of the number of tables I can have connected together irrespective of if I have a lot of other "write to" functions within each table? And just to clarify, it doesn't necessarily matter if I'm interconnecting tables with the "write to" function - just the mere fact of using a lot of "write to" functions is data intensive and will reduce the number of tables I can connect together?
it's 10 tables! 1. You can have up to 10 tables chained together using "write to" enrichments 2. Each of these tables can have multiple "write to" columns (like your example of 20 columns all writing to Table X) BUT it's not recommended. Better adding everything inside of one enrichment 3. If you go over 10 interconnected tables total, it won't work. So 10 tables can be connected. No more
Ok, so if I needed to connect more than that, then the standard recommendation would be to connect the tables via webhooks with the HTTP API enrichment, correct?
Hey! Curious - what are you building that needs 10+ connected tables? Usually when someone needs that many, there's a more efficient way to structure it. Being upfront - we added that limit because going over 10 tables can crash your workspace and delete tables permanently, with no way to recover them. π¬ Want to share what you're trying to do? We could probably find a safer, more efficient setup!
I'm pulling in Serper results for local businesses. So Serper scrapes a google maps page of 20 listings, then I have one "write to" table column for each listing to create a row for each listing in another table. That's just for one page of results though... ideally I could get more pages of results. I guess the bottleneck is the idea that I need to have one "write to" column for each result though. Do you know of another way I can create a row for each result?
Apify might actually make this way easier! Here's why: 1. You can set up Apify to scrape multiple Google Maps pages 2. Send all the data in one clean webhook to a single table 3. Each listing automatically becomes its own row - no need for multiple "write to" columns Would you like me to help you set this up? This would be much more efficient than the current Serper setup, especially if you're looking to grab more than 20 listings at a time! Let me know if you want to explore this option and I'll walk you through it π
I appreciate that, but I'd really like to try and stick with Serper for a few different reasons. Are there any other ways you can think of aside from the "write to" and HTTP API columns that I could use to take individual listings like this and turn them into rows?
Hey! Thanks for the reply. The "Write to Table" integration would be the best option here. If you're creating multiple "Write to Table" columns in one table to write to another, we have a workaround that can help bypass those limits. Itβs a more advanced setup that combines lists from multiple columns into a single action. Hereβs a quick video explaining how it works: https://www.loom.com/share/1c780df9e45146f0b9967fe7e6e21e23?sid=67ebc5f9-80ac-4f09-b28f-9e0faabd33a7 Let me know if that helps! Also, feel free to share your table URL. Happy to check your workflow.
Thank you!