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Most web scraping today is dominated by Python—especially tools like Scrapy. It’s familiar, powerful, and widely used. But when you start scaling, something becomes clear: performance and infrastructure costs begin to hurt.
Switching to a faster language like Go sounds like the obvious next step—but the real challenge is the transition: 👉 new syntax, new patterns, and a completely different ecosystem.
🚀 Enter Goscrapy
Goscrapy bridges that gap. It’s designed for:
⚡ Developers who want Go-level performance
🧠 Without losing the Scrapy-like developer experience
💡 Why it stands out
Familiar UX → Feels like Scrapy, so Python developers feel at home instantly
Lower learning curve → No painful transition phase
High performance → Built on Go for speed and efficiency
Cost savings → Handle more with fewer resources
🎯 The idea is simple
Don’t force developers to choose between comfort and performance.
With Goscrapy, you get both.
If you’ve ever thought:
I wish Scrapy was faster and cheaper to run…
This is for you.
Features ---------- 🚀 Blazing Fast — Built on Go's concurrency model for high-throughput parallel scraping 🐍 Scrapy-inspired — Familiar architecture for anyone coming from Python's Scrapy 🛠️ CLI Scaffolding — Generate project structure instantly with goscrapy startproject 📡 Signal-Driven — Decoupled, event-driven architecture using a central signal bus 🧠 Auto-Discovery — Automatic detection of spider lifecycle methods (Open, Close, Idle) 🔁 Smart Retry — Automatic retries with exponential back-off on failures 🍪 Cookie Management — Maintains separate cookie sessions per scraping target 🔍 CSS & XPath Selectors — Flexible HTML parsing with chainable selectors 📦 Built-in Pipelines — Export to CSV, JSON, MongoDB, Google Sheets, and Firebase out of the box 🧩 Built-in Middleware — Plug in robust middlewares like Azure TLS and advanced Dupefilters 🎛️ Telemetry & TUI — Real-time terminal dashboard and global metrics monitoring 🔌 Extensible — Every layer (Scheduler, WorkerPool, Engine) is swappable and extensible
⭐ Check it out, try it, and if it clicks—give the repo a star and help it grow.
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About GitHub on Product Hunt
“Scrape the web at Go speed.”
GitHub was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #82 on the daily leaderboard. GoScrapy: Harnessing Go's perfomance for blazingly fast web scraping, inspired by Python's Scrapy framework. - tech-engine/goscrapy
GitHub was featured in Open Source (68.4k followers), GitHub (41.2k followers) and Data (2.3k followers) on Product Hunt. Together, these topics include over 32.7k products, making this a competitive space to launch in.
Who hunted GitHub?
GitHub was hunted by techengine. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how GitHub stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
techengine
Most web scraping today is dominated by Python—especially tools like Scrapy. It’s familiar, powerful, and widely used. But when you start scaling, something becomes clear: performance and infrastructure costs begin to hurt.
Switching to a faster language like Go sounds like the obvious next step—but the real challenge is the transition:
👉 new syntax, new patterns, and a completely different ecosystem.
🚀 Enter Goscrapy
Goscrapy bridges that gap. It’s designed for:
💡 Why it stands out
🎯 The idea is simple
With Goscrapy, you get both.
If you’ve ever thought:
This is for you.