Vectorly

Vectorly records web interactions, reverse-engineers APIs and compiles dependable scripted flows via CDP and LLMs, providing programmatic access to web apps through reusable, open-source automation.

Vectorly

About Vectorly

Vectorly converts interactive websites into programmatic APIs and reusable flows by recording real user interactions. It reverse-engineers the underlying endpoints that power web apps and packages them as scripted routines that developers can run or publish to a marketplace.

Review

Vectorly captures network traces, JavaScript bundles, cookies, and browser storage to uncover the API calls behind UI actions, then maps those into reliable routines. The result is an alternative to fragile HTML scraping or slow browser agents, with a focus on repeatable, shareable workflows for developer teams.

Key Features

  • Record-and-replay workflow capture that logs clicks, searches, and interactions as repeatable routines.
  • Reverse-engineering of hidden API endpoints using captured network traffic, JS bundles, and browser storage.
  • Zero runtime token costs for executing discovered APIs, aiming to reduce ongoing execution expense.
  • Marketplace for publishing and running shared workflows, enabling reuse across teams or the community.
  • Open-source components and an MCP server option for local or hosted deployment and integration with developer tooling.

Pricing and Value

The product is marked as payment required. Pricing is likely to follow common developer tooling patterns such as subscription tiers or enterprise licensing, though exact plans should be confirmed on the provider site. For teams that currently invest time building fragile scrapers or maintaining browser-based automation, Vectorly can offer clear cost savings by turning UI flows into direct API calls and eliminating per-run token expenses.

Pros

  • Extracts true API calls instead of relying on HTML parsing, which improves reliability and maintainability.
  • Captures a wide set of browser context (network, JS, storage) to reconstruct flows that other tools miss.
  • Zero runtime token costs can lower operational expenses for repeated executions.
  • Marketplace and shareable routines speed up onboarding of common data flows across projects.
  • Open-source elements increase transparency and make customization possible for teams with specific needs.

Cons

  • Requires technical setup and understanding of web traffic; not targeted at non-technical end users.
  • Sites with aggressive anti-automation measures or complex obfuscation may still present challenges.
  • Marketplace usefulness depends on the quality and coverage of published workflows, which may vary early on.

Vectorly is best suited for developers, data engineers, and teams that need stable programmatic access to web app data without maintaining brittle scrapers. It makes the most sense when repeated, reliable access to internal endpoints or shared workflows can reduce development time and operational cost. For casual or non-technical users, a higher level of technical support will be required to get the most value.



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