Hi everyone, I’m trying to validate the best architecture for a lead-gen automation before I spend time/money building it. The goal is to automatically identify UK SaaS companies that are likely to have implementation/onboarding complexity. What the automation needs to do Source leads from: Dealroom Apollo (Preferably free plans if possible, but open to paying for a 1–2 month subscription/trial if needed.) Criteria: SaaS companies UK-based 30–300 employees “Data-dependent” products, meaning customers likely need to: migrate/import data integrate APIs configure systems/workflows onboard implementation-heavy software before value is realised Examples would be products where clients can’t just sign up and instantly use it, there’s usually setup, implementation, or data work involved. Workflow Run once per day automatically Search for companies matching criteria Add new companies only into Airtable Use domain name or linkedin URL as the unique identifier (to prevent duplicates) If no companies are found, the automation simply stops and waits for next run My question Can Claude Code realistically build most of this, or would I still need additional tools/services for things like: data sourcing (Apollo/Dealroom APIs?) scraping (if allowed) scheduling/cron jobs Airtable integration enrichment/filtering logic If scraping is permitted, I’m fine with that route. If APIs are more reliable, also fine, I mainly care about whatever works and is maintainable. Finally am I missing anything obvious in the workflow or system design? submitted by /u/Turbulent_Run3775
Originally posted by u/Turbulent_Run3775 on r/ClaudeCode