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BeautifulSoup

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// recent coverage 17 mentions

08:41
2026-06-29
dev.to
large-language-models

How to Clean Search Results Before Sending Them to an LLM

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,…

03:00
2026-06-27
dev.to
artificial-intelligence

Parsing and Rebuilding EPUB Files in Python: Lessons Learned

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…

23:19
2026-06-18
dev.to
large-language-models

How We Translate Entire Books with LLMs Without Losing Context

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…

10:32
2026-06-16
dev.to
developer-tools

Handling Shadow DOMs in Agentic Scraping Workflows

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…

02:00
2026-06-12
dev.to
large-language-models

When Regex Fails: LLMs for Messy HTML Data

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…

00:00
2026-06-10
spidra.io
ai-tools

Spidra API Python tutorial: scrape any website with Python

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…

08:34
2026-06-05
dev.to
large-language-models

When HTML parsing fails: using LLMs to extract messy web data

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…

01:01
2026-05-30
dev.to
artificial-intelligence

When Traditional Web Scraping Fails: A Practical AI Approach

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…

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