I work in B2B sales and collect contact information from different websites using automated tools. My current setup pulls data from multiple pages and organizes structured information pretty effectively. I typically gather several thousand contacts each day through this process.
Currently I’m storing all this data in Airtable where I can add tags, apply filters, and create different views for organizing prospects. This worked well initially, but now I’m running into storage limitations and the workflow automation becomes complicated when managing multiple workspaces.
I’m looking for a solution that can handle larger data volumes while maintaining flexibility for data organization. A full CRM system seems too complex for my current needs, and I don’t want to deal with setting up and maintaining my own database server. Has anyone moved from Airtable to something more scalable? What options would you recommend?
Been there. Hit the same wall with Airtable when our lead generation got too big for their database to handle smoothly.
You don’t need some complex CRM or your own database though. What you need is connecting your data collection tools straight to better storage, then automating all that manual tagging and filtering.
I fixed this exact issue by building a workflow that takes scraped contact data and pushes it directly into Google Sheets or a lightweight database like PostgreSQL. The trick is letting automation handle all the data organization based on rules you set once.
Like automatically tagging contacts by company size, industry, or location the second they hit your database. Then you can create filtered views without Airtable’s performance headaches on large bases.
My workflow processes thousands of contacts daily and handles sorting, deduplication, and tagging without me touching anything. Scales way better than traditional database solutions too.
Latenode makes this automation pretty straightforward to set up and maintain. You can connect scraping tools directly to whatever storage works for your volume.