Gumloop is a no-code AI workflow builder that lets teams drag together nodes for web scraping, data processing and LLM calls into automated, multi-step workflows and agents, aimed at operations, growth, RevOps and technical no-coders who want to automate research- and data-heavy tasks without writing scripts.
Who it's for
Gumloop suits teams that need to automate work involving unstructured data — scraping websites, enriching leads, summarizing documents, processing spreadsheets — and want an AI layer built into the workflow rather than bolted on afterward. It's popular with growth and ops teams at startups and mid-size companies, as well as technical users who appreciate that Gumloop lets you bring your own API keys for the underlying models rather than being locked into a single vendor. Enterprises with stricter security needs can also use its self-hosted deployment option, which is less common among no-code automation tools.
How it works
Workflows are built visually by connecting nodes on a canvas — one node scrapes a webpage, another calls an LLM to summarize or classify it, another writes the result to a spreadsheet or sends a notification — with the option to combine several specialized agents into a larger multi-agent workflow. Runs can be triggered on a schedule or by an event, so a workflow can, for example, check a data source every morning or fire whenever a new row appears. Autonomy is semi-autonomous by design: the workflow executes automatically, but you define its logic and boundaries step by step rather than handing it a single open-ended goal.
Pricing
Gumloop has a free tier for trying the platform, with paid plans starting at roughly $37 per month on a credit-based billing model — running more nodes or calling larger models consumes more credits. Because usage cost depends heavily on workflow complexity and model choice, check Gumloop's current pricing page for exact credit allowances before estimating monthly spend.
Strengths and trade-offs
Gumloop's biggest strengths are its no-code visual builder combined with genuinely technical flexibility: bring-your-own-key model choice, multi-agent orchestration, and a self-hosted deployment path for security-conscious teams, backed by SOC 2 certification. That combination is relatively rare in the no-code automation space. The trade-offs are that credit-based pricing can be harder to predict than flat per-seat pricing, and the platform's strength in data scraping and processing workflows means it's less of a fit for teams wanting a broad, pre-built app-integration catalog like Zapier's. For teams whose bottleneck is turning messy web or document data into structured, automated output, Gumloop is a strong, flexible choice. A typical use case is a lead-enrichment pipeline that scrapes a prospect's website, summarizes it with an LLM, and writes structured fields straight into a CRM without manual copy-pasting.