Compare/Continue vs Extractor

AI tool comparison

Continue vs Extractor

Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.

C

Developer Tools

Continue

Open-source AI code assistant for VS Code and JetBrains

Ship

100%

Panel ship

Community

Free

Entry

Continue is an open-source IDE extension that adds AI chat, autocomplete, and editing to VS Code and JetBrains. Connect any LLM — local or cloud. Customizable with your own prompts and context.

E

Developer Tools

Extractor

Robust LLM-powered web data extraction in TypeScript

Ship

100%

Panel ship

Community

Free

Entry

Extractor by Lightfeed is a TypeScript library that uses LLMs to extract structured data from websites. It handles messy HTML, JavaScript-rendered content, and inconsistent page layouts that break traditional scrapers. Define your schema and let the LLM figure out where the data lives.

Decision
Continue
Extractor
Panel verdict
Ship · 3 ship / 0 skip
Ship · 3 ship / 0 skip
Community
No community votes yet
No community votes yet
Pricing
Free (open-source)
Free / Open Source
Best for
Open-source AI code assistant for VS Code and JetBrains
Robust LLM-powered web data extraction in TypeScript
Category
Developer Tools
Developer Tools

Reviewer scorecard

Futurist
80/100 · ship

This is the kind of tool that makes you wonder how you worked without it.

No panel take
Skeptic
80/100 · ship

Solid execution. Does what it promises and the DX is clean.

80/100 · ship

LLM extraction costs add up fast at scale. But for the use cases where you need it — scraping sites with unpredictable layouts, extracting from pages that change frequently — the reliability improvement over CSS selectors easily justifies the token spend.

Builder
80/100 · ship

The team ships fast and responds to feedback. Good sign.

80/100 · ship

Schema-driven extraction with LLM fallback is exactly right. Traditional scrapers break on every site redesign — Extractor adapts because it understands the content semantically. The TypeScript-first approach with strong typing on outputs is chef's kiss for building data pipelines.

Creator
No panel take
80/100 · ship

I have been using this to pull structured data from competitor landing pages and product directories. The schema definition is intuitive and the extraction quality is surprisingly consistent even across wildly different page designs.

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