Nested Filters Not Working

I can’t figure out how to make these filters work as intended for the “starting point” flow. I want it to pull data from a spreadsheet and perform multiple filters: 1) if a certain column is blank, keep going, 2) depending on the value in a different column, proceed w/ a different subflow. Each time I run it, it doesn’t seem to acknowledge the “role specific” filter. It only acts on the “relationship” filter.
https://www.gumloop.com/pipeline?workbook_id=vLkrNjqkSZwmtBJ9a8y1wn

Hey @chris_dyer - Could you please share the run link as well from the history page? https://www.gumloop.com/history

Here’s a run link for the subflow w/ the issue. I know it’s not completing because there is data missing from the website scraper (the source google sheet has a blank value for this cell) but I’d expect the flow to keep running because I have an error shield. Any ideas what the issue could be? I’ve asked Gummie and haven’t gotten anywhere.

https://www.gumloop.com/pipeline?run_id=RX9DKFgnETwnkpWEVAqNyP&workbook_id=vLkrNjqkSZwmtBJ9a8y1wn&tab=1

Gotcha. Two notes here:

  1. Since you already have an ‘Error Shield’ node around the subflow in the main flow you can remove the error shield around the website scraper. if anything in a loop fails it will automatically be skipped.

  2. That said, I believe you still want to continue the flow even if the scraper fails correct? I’m assuming this because you’ve the website content and the error URL both going into the Combine Text node:

The issue with such a setup is that its never going to be true because the website scraper can’t error out and have the scraped content at the same time so this node can technically never be fired. To fix this you should use the Join Paths node which takes two different paths and outputs the one that was executed. Here’s an example setup: https://www.gumloop.com/pipeline?workbook_id=kHjvArRdgDrkZPHUYn6Bgk&tab=1

Join Paths Doc: https://docs.gumloop.com/nodes/flow_basics/join_paths

Let me know if this makes sense and works for you.

Super helpful! Thank you!

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