Pig Data has released a Python SDK called scraping-ai that extracts structured data from webpages without relying on fragile CSS selectors. The tool uses a pipeline of dynamic rendering, Markdown dist…
A new Python tutorial demonstrates how to build an AI web scraper that cleans HTML, converts it to Markdown, and uses OpenAI's gpt-5.4-nano model to answer user queries, reducing token usage by sendin…
A developer debugging a Cursor AI coding agent discovered that hidden text on a supplier's webpage injected malicious instructions into the model, causing it to output unexpected commands. The inciden…
A developer's practical guide to Python web scraping in 2026 warns that basic techniques like `time.sleep()` lead to blocks, recommending `httpx` with `selectolax` for static pages, Playwright for cli…
A developer describes using Chat4Data, an AI agent that extracts structured data from live web pages via plain-language descriptions, to scrape World Cup betting odds from Polymarket without writing c…
A developer demonstrates how to convert any URL or entire website into clean Markdown for retrieval-augmented generation (RAG) pipelines using Apify's Website to Markdown tool. The tool uses real Chro…
A developer built a modular CLI tool called 'research-loop' to automate web research, addressing the inefficiency of manually collecting and synthesizing information from browser tabs. The tool runs a…
A developer created a Python cleaning layer to sanitize SERP API responses before sending them to an LLM. The approach normalizes fields like title, URL, snippet, and position, stripping out raw HTML,…
XiaoKe API Gateway launched a suite of 7 micro-APIs for AI agents, enabling autonomous discovery, payment, and execution of tasks like PDF extraction, web scraping, OCR, code review, translation, summ…
LectuLibre built an AI-powered book translation service that parses and rebuilds EPUB files without breaking navigation or metadata. The team chose the ebooklib Python library but had to add extensive…
Apify released a tutorial for Crawlee for Python, demonstrating how to build a web crawling pipeline with robots handling, link graphs, and RAG chunk export. The tutorial covers environment setup, sta…
LectuLibre developed a chunking strategy to translate entire books using large language models while preserving narrative coherence. The pipeline parses documents into logical units like chapters, spl…
A developer outlines techniques for handling Shadow DOMs in agentic scraping workflows, including recursive JavaScript traversal to extract data hidden inside open and closed shadow roots. The post hi…
A developer building a price comparison tool for outdoor gear replaced brittle regex and CSS selectors with an LLM-based parser to extract product details from 30 e-commerce sites. Using GPT-4o-mini w…
A developer proposes replacing fragile CSS selectors with LLM-powered zero-shot JSON extraction for web scraping. By converting cleaned HTML to Markdown and using a predefined JSON schema, the approac…
A developer replaced brittle regex and CSS selectors with a local LLM to extract product data from messy legacy HTML, achieving reliable results at a fraction of the cost of cloud-based models. The ap…
Spidra released a Python SDK that allows developers to scrape any website — including those with JavaScript rendering, anti-bot protections, and CAPTCHAs — using a single package and plain English pro…
A developer turned to large language models to extract product data from e-commerce sites with unpredictable HTML, after traditional scraping tools like BeautifulSoup and Scrapy failed due to constant…
A developer tested the open-source Python framework Scrapling against Lazada Singapore, a production site protected by Google reCAPTCHA and custom slider verification, using only a single 4GB VPS with…
A developer built an AI-based web scraper using GPT-4 to extract product data from a dynamic e-commerce site that changed its HTML structure every few days, breaking traditional CSS selectors. The app…