Practical writeups on web scraping, anti-bot tactics, structured extraction, SERPs and the messy realities of building data pipelines for AI.
Country targeting works; city parameters, including uule, did not change web results in our November 2026 tests. What worked: the city in the query, Google Maps and Google Jobs. Seven measured calls.
Scrapy is Python's leading open-source web crawling framework, but it hits hard walls on JavaScript rendering and bot detection that a scraping API resolves without replacing Scrapy's strengths. Read on to learn how Scrapy works, where it falls short, and how to wire both together using the official Ujeebu Scrapy plugin or a custom middleware.
Scraping Google News with BeautifulSoup breaks the moment Google changes its layout. This tutorial shows how to scrape Google News and get structured JSON in a single API call, filter by language and location, and pipe the results into a RAG pipeline.
Using an LLM to scrape the web sounds clever until you see the token bill and the hallucinated prices. Here is what actually works at scale, and how to wire a scraping API into an AI agent in a few lines of code.
The best web scraping tool depends on three things: whether the target site renders content in JavaScript, how aggressively it blocks bots, and how much engineering time you want to spend on infrastructure. This guide gives you a decision framework and a pricing-aware comparison table to make the call.
Crawl4AI is an open-source web crawler built to feed LLMs and RAG pipelines, turning pages into clean Markdown instead of raw HTML. This post explains how it works, where it genuinely excels, and when the operational overhead of self-hosting makes a managed API the smarter call.
Scraping API pricing falls into a handful of distinct models, and the one that saves you money depends on your workload mix, not the headline rate. This guide breaks down every model with real numbers so you can calculate your actual cost before you commit.
Amazon web scraping fails silently: the server returns HTTP 200, your parser runs without errors, and every field is empty because Amazon served a bot-check page instead of the product. You will see how to detect that substitution early and parse reliable product data at scale.
Residential proxies route your requests through IP addresses assigned by ISPs to real homes, making your traffic look like an ordinary user. Datacenter proxies route through cloud servers, which are easier for anti-bot systems to identify. This post explains how each type works, where detection risk comes from, and how managed scraping APIs handle the choice for you.
AI visibility is how often AI answer engines name your brand and cite your site when buyers ask for a recommendation. Here is what GEO and AEO mean, the five metrics that matter, and a repeatable way to measure them in ChatGPT, Gemini and Google AI Overviews.
Apify is a cloud platform for web scraping and browser automation, built around a marketplace of pre-built programs called Actors that run on Apify's managed infrastructure. This guide explains how the model works, what it actually costs, and when a unified scraping API is the simpler choice.
Ever tried to capture an entire webpage in one go, only to end up taking multiple screenshots and stitching them together? Taking a full page screenshot manually is about as fun as printing a web page and scanning it. Whether you're a developer needing a complete page snapshot for testing, or a marketer monitoring how a landing page looks over time, the struggle is real. Even the Chrome full page screenshot trick in DevTools (handy, but hidden) is fine for one-off captures, not so much for autom
