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Salvager Laravel Package

revolution/salvager

Revolution Salvager is a Laravel package for salvaging recoverable data from failed or interrupted operations, helping you capture what would otherwise be lost and restore it cleanly. Lightweight, configurable, and built to fit existing Laravel workflows.

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Product Decisions This Supports

  • Feature feasibility for JS-rendered sources. If a roadmap item depends on reading pages that only render via JavaScript (SPAs, React/Vue storefronts, dashboards, infinite-scroll listings), this package lets us prototype that capability inside an existing Laravel app instead of standing up a separate browser-automation service. That shortens the "can we even get this data?" loop from weeks to days.
  • Build vs. buy vs. adopt. It creates a real third option between "build a Playwright/Puppeteer microservice" and "buy a scraping API" (Browserless, ScrapingBee, Apify). For low-volume internal use cases, adopting a thin MIT wrapper is the cheapest path; the assessment forces an explicit decision rather than a default to custom infrastructure.
  • Use-case triage. Reasonable fit: internal data ingestion (competitor pricing, catalog enrichment, content migration), link/asset auditing of JS-driven sites, scheduled snapshotting of a handful of pages, QA smoke checks on JS routes. Poor fit: anything customer-facing at scale, anything adversarial (anti-bot), anything needing proxies, geo-rotation, or high concurrency.
  • Roadmap sequencing. Because it's tiny and unopinionated, it's a good spike dependency — validate the data is valuable and the crawl is stable before committing to a hardened architecture. It effectively de-risks the "is this dataset worth engineering for?" question.
  • Sourcing/risk posture. With 7 stars and 0 dependents, this is a vendor-it-in-your-head dependency: assume we may need to fork or replace it. That itself is a product decision — do we accept maintenance ownership of ~a few files in exchange for avoiding a service?

When to Consider This Package

Consider it when all of these hold:

  • You already run Laravel and want crawling to live in the same app, queue, and deployment model — no new service to operate.
  • Target pages genuinely require JavaScript execution; static HTTP fetching (Guzzle, spatie/crawler, HTTP client + DOM parser) is insufficient.
  • Volume is modest and batch-oriented: tens to low thousands of pages per run, tolerant of seconds-per-page latency, run via queued jobs.
  • You can guarantee a Node + Playwright runtime in your containers/CI and are comfortable with that operational surface.
  • You're willing to read, pin, and potentially fork a small codebase (MIT) — treat it as a starting point, not a supported platform.
  • No anti-bot evasion requirement; you're crawling sites you own, have permission for, or public data with acceptable terms.

Look elsewhere when:

  • Scale or concurrency matters — use a managed browser service (Browserless/ScrapingBee/Apify) or a dedicated horizontally-scaled Playwright worker.
  • Pages are server-rendered — plain HTTP + parser is faster, cheaper, and far easier to operate; don't take on a browser runtime for nothing.
  • You need robust crawling semantics (politeness, robots.txt, depth limits, deduplication, sitemaps) — spatie/crawler plus an HTTP client covers the static case; a mature crawler framework covers the rest.
  • The goal is end-to-end testing — use Laravel Dusk or Playwright directly in CI; don't bend a scraper into a test runner.
  • You need support, SLAs, or a security-reviewed dependency — a 7-star, single-maintainer package won't clear that bar. Also check Playwright/browser binary licensing and patching obligations in your environment.

How to Pitch It (Stakeholders)

For executives: This is a small, MIT-licensed Laravel package that lets our existing application read web pages that require a real browser to render — the kind of modern site where a simple HTTP request returns an empty shell. It's a low-cost way to test whether a data-driven feature (pricing intelligence, catalog enrichment, content ingestion) is worth building, without funding a new service or a scraping vendor contract. The trade-off is maturity: it's an early-stage, single-maintainer project, so we'd pilot it behind an internal interface and keep a managed-service fallback priced and ready. Total downside if it doesn't work out: a few days of engineering, not a re-architecture.

For engineering: Thin wrapper over Playwright invoked from Laravel; the value is the integration, not novel technology. Adopt it only behind an internal PageFetcher-style contract so we can swap in an HTTP client for static pages and a hosted browser service for scale. Requirements: Node + Playwright in the runtime image, jobs isolated on their own queue with strict timeouts and memory limits, and a pinned version with the source read and vendored if necessary. Do not use it for high-concurrency or adversarial scraping, and do not let it become the de facto crawling framework — its scope is "render this page and give me the HTML."

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