Nicheloom

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AegisCrawler

Record once, replay forever — a production-grade browser data-collection platform. A PageResearch Agent extension turns real interactions into humanized DSL rules, a Go server schedules lease-based tasks, and ScriptCat workers execute them in real browsers. Optional LLM rule enhancement with security scan + human diff review.

Details

External ID
1378193593
Source
GITHUB
Company
—
Product
AegisCrawler
Website domain
github.com
Launched
Sept. 20, 2026
Cohort
—
Upvotes
15
Upvotes percentile
0.4914168588265437
Tags
anthropic, browser-automation, browser-extension, chrome-extension, data-collection, dsl, golang, llm, openai, react, rpa, scraper, scriptcat, sqlite, tampermonkey, task-scheduler, typescript, userscript, web-agent, web-scraping
Fetched at
Sept. 24, 2026, 5:02 p.m.
Updated at
Sept. 24, 2026, 5:02 p.m.

Enrichment

Theme
developer tools for ai agents
Vertical
Horizontal
Function
Data infrastructure
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
browser automation platform for web data extraction
Manually corrected
False

Could you build this?

Partial While the Go task scheduler and browser extension recorder are straightforward, building a reliable distributed crawler that uses real browsers, humanized DSL replays, and bypasses modern bot detection requires complex anti-detect engineering.

What it would actually take: The architecture comprises a Chrome extension to record DOM events into a custom DSL, a Go/PostgreSQL distributed worker queue managing task leases, and runner instances (via ScriptCat or Puppeteer/Playwright). The difficult engineering challenge lies in humanized action emulation (curved mouse paths, randomized timings, CDP fingerprint masking) to bypass Cloudflare and Akamai bot protections at production scale without constant manual intervention.

Competitors

Other products that read as similar to this one — 100 launches clear the similarity bar, closest 8 shown.

Attention rank: #47 of 101 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 319 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a data infrastructure tool for Media & entertainment yet.