May 10 · 6 min read · Feeding raw HTML into a Retrieval-Augmented Generation (RAG) pipeline is computationally expensive and highly inefficient. Large Language Models (LLMs) operate on tokens, and HTML DOM structures are notoriously token-heavy. When you pipe raw HTML int...
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May 10 · 5 min read · When I started building TubeVocab, I had a chicken-and-egg problem. I needed a corpus of YouTube subtitles to mine ESL vocabulary from — but the official YouTube Data API v3 doesn't return subtitle bo
Join discussionMay 9 · 9 min read · The Token Economics of HTML vs. Markdown Autonomous AI agents require access to real-time web data to make informed decisions. However, the standard approach of feeding raw HTML directly into a Large Language Model (LLM) is a critical architectural f...
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May 5 · 8 min read · Building a Retrieval-Augmented Generation (RAG) pipeline requires feeding raw web data into a vector database. But web data is messy, HTML is bloated, and public endpoints aggressively rate-limit incoming traffic. Selecting the right web scraping API...
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May 5 · 6 min read · I pulled up my Apify dashboard this morning before coffee. The number I was hoping for was a positive margin. The number I got was negative 33 percent. $20.94 in compute and proxy cost. $15.63 in revenue. I was paying users to run my actor. The actor...
Join discussionMay 1 · 5 min read · Raw HTML bloats Retrieval-Augmented Generation (RAG) pipelines. An average web page consists of 80% markup and 20% actual content. Passing this raw Document Object Model (DOM) to a Large Language Model wastes tokens, increases latency, and severely d...
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Apr 30 · 4 min read · Disclaimer: This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping. Extracting job market data requires navigating complex front-end architectures. Public job boards like Glassdoo...
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Apr 30 · 8 min read · Disclaimer: This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping. When building data pipelines to monitor the short-term rental market, raw HTML extraction is only the first ste...
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Apr 30 · 4 min read · Disclaimer: This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping. Why collect social data from YouTube? Developers extract publicly available YouTube data to build analytics too...
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