Gumloop lets users build AI-driven automations without code, run browser and data workflows, connect popular apps, schedule runs, use an API, collaborate with teams.
Gumloop is an AI-native workflow builder for the messy middle of data work. It strings together web actions, API calls, and LLM steps so you can collect, clean, and ship structured results—without living in tabs or copy‑paste hell.
Build flows that scrape pages, extract structured fields, enrich with models, and push results into sheets, databases, or Slack. Schedule runs, parameterize inputs, and hand teammates a simple form or endpoint instead of a playbook.
A visual canvas assembles blocks—browser, parser, model, transform—plus retries, logs, and permissions. You can stay no‑code or drop into code when needed. Runs happen in the cloud, so long jobs keep going while you move on.
Automation breaks. Sites change, models hallucinate, and rate limits bite. Gumloop helps, but you still need guardrails—validation, fallbacks, and someone watching the data. For teams that accept that tradeoff, it turns grunt work into a reliable pipeline.
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