Extracting E-Commerce Pricing Data with Web Scraping
Learn how to collect, normalize, validate, and monitor online prices with Python, while handling variants, regions, promotions, robots.txt, and changing pages.
Learn how to collect, normalize, validate, and monitor online prices with Python, while handling variants, regions, promotions, robots.txt, and changing pages.
Generate and edit images from Ruby with the official OpenAI gem. See runnable code, output handling, production safeguards, and a screenshot API alternative.
Export comments from Facebook, Instagram, YouTube, TikTok, or X, check completeness, and move a clean copy into Google Docs.
Build a verifiable product crawl from sitemaps, authorized APIs, and pagination, then extract, deduplicate, and reconcile every record.
Configure rendered images to land in your own S3-compatible bucket, control access, and avoid common delivery and permission failures.
Learn when to share one working file or a reusable template, set safe permissions, verify access, and manage updates in Canva and Figma.
Run Puppeteer with Chrome in Docker using the official image or a custom Dockerfile, with sandbox, dependencies, read-only filesystems, and fixes.
Google’s terms prohibit exporting Maps data into lead lists. Learn the compliant alternatives for finding and verifying business contacts.
Use XPath contains() to locate elements by partial text, handle nested markup and whitespace, and write reliable Selenium locators in Python and Java.
Build accessible Vue 3 form validation with native rules, Vuelidate, vee-validate, async checks, server errors, and complete code.
Capture cookie banners honestly: reproduce the first visit, click real consent controls, and automate repeatable screenshots without hiding evidence.
Learn CSS scaling, responsive srcset and sizes, art direction, modern formats, JavaScript edge cases, and a practical testing checklist.
Run JavaScript in Playwright or Puppeteer, pass values across contexts, await promises, handle DOM objects, and troubleshoot reliable evaluations.
Learn how to calculate mean, median, and mode in Python with the statistics module, handle ties and empty data, and avoid common mistakes.
Install LM Studio, download a model, run it offline, expose an OpenAI-compatible API, and connect MCP tools from your own computer.
Learn the fastest browser methods, reliable JavaScript and Python workflows, dynamic-page limits, OCR options, and a screenshot API path.
Choose the right QR payload for event check-in, registration, or contact sharing, then generate, design, and verify badge images before printing.
Learn how to collect website data with visual and natural-language scrapers, check permissions, handle dynamic pages, validate results, and export them.