Learn Scrapling from the basics to production-grade: pre-requisites & environment setup, history & background, core concepts & main architecture, installation & your first scraper, DOM & CSS selectors, adaptive fetching & stealth, HTTP2 & asynchronous fetching, form handling & session, AJAX & JavaScript rendering, pagination & crawling, data extraction & parsing, cleaning & transformation, scaling & concurrency, caching & retries, proxy & IP rotation, captcha & anti-bot bypass, headless browser integration, AI-powered extraction, integration with databases & APIs, testing & maintenance, ethical scraping & legal, modern features & roadmap, up to the alternative ecosystem & final reflection — 23 episodes in total.
Opening episode of the Learn Scrapling series: making sure you have the foundational skills required — Python 3.10+, pip and venv, HTML/CSS selectors, XPath, and HTTP concepts. It also covers setting up Scrapling along with its optional extras, Chromium for the browser fetcher, and browser devtools for selector inspection.

Tracing Scrapling's origins: developed by Karim Shoair (D4Vinci) since around 2024, grown from v0.1 to 0.4.x with millions of downloads. Understanding the frustrations that gave birth to this library and the problems it solves — a lightning-fast parser, self-healing selectors, and stealth fetchers.

Mapping Scrapling's architecture: the core fetcher modules that handle both HTTP and browsers, the lxml-based Adaptor parser, the spider framework, the CLI, and the MCP server. Explaining the complete workflow from fetching HTML, parsing and selecting elements, extracting data, up to advanced crawling.

Your first serious hands-on practice: using Fetcher for HTTP requests — get and post, FetcherSession to persist cookies, impersonate chrome for the TLS fingerprint, and stealthy_headers. Getting to know the Adaptor response, headers, and error handling patterns for status codes.

Going deep into the Adaptor object: selecting elements with CSS and XPath, understanding the difference between get and getall, leveraging chaining, and extracting text and attributes. Explaining lxml-based DOM manipulation — tree traversal and element iteration — to build structured data.

Mastering selection beyond CSS and XPath: find_by_text to search elements by their text content, find_by_regex for text patterns, searching for similar elements with relative selection, and filtering based on attribute conditions and structure for precise selection.

Learning to use AsyncFetcher for parallel fetching with asyncio, limiting concurrency via semaphores, applying rate limiting and batch requests, and handling errors with simple retries so your crawl is fast but still polite to servers.

Using PlayWrightFetcher to render JavaScript pages and SPAs, understanding headless mode and waiting for network idle, integrating Playwright selectors with wait_selector, and choosing a real browser versus headless to handle light-to-medium protection.

Dissecting StealthyFetcher: browser automation via the Chrome DevTools Protocol with built-in anti-detection, understanding why plain requests are easily detected, bypassing Cloudflare and Turnstile out of the box via solve_cloudflare, and anti-fingerprint features like block_webrtc and hide_canvas.

Enabling the auto_save and auto_match features so selectors adjust themselves when a website's DOM structure changes. Understanding the self-healing mechanism based on element similarity scoring, SQLite storage, and the identifier and automatch_domain parameters for cross-domain management.
