Web scraping: guides & tutorials

Bright Data and ScraperAPI both solve the same core problem: getting your scraper past anti-bot systems. But they solve it very differently.

ScraperAPI is a lightweight proxy pass-through API. Send a URL, get HTML back. Simple, cheap at small scale, and you own the scraper logic.

Bright Data is an enterprise proxy network plus managed datasets and a cloud browser. More powerful unblocking, more features, higher price tag.

This is a split-decision comparison. Neither is universally "better" — it depends on your volume, target sites, and budget.

Octoparse is a solid no-code scraper. But if you're hitting its limits—Windows-only builder, JavaScript ceiling, API locked behind Professional tier, or $75/month pricing for light use—you have options. This guide compares seven alternatives, ranked by what matters: free tier, JavaScript support, pricing, and where each tool actually shines.

ScraperAPI is a proxy rendering API. You send it a URL, it returns HTML routed through their managed proxy pool. Simple, focused, and useful for a specific job: adding a reliable proxy layer to code you already have.

But "simple" doesn't mean "best for everything." This review covers what ScraperAPI actually does, what it costs, where it shines, and where it falls short.

Most proxy vendors make you choose: raw IPs at good prices from a scrappy provider, or a polished dashboard from an enterprise vendor charging three times more. Proxy-Seller has spent a decade building a third option: all five proxy classes (datacenter IPv4/IPv6, ISP, residential, mobile) under one account, at prices that stay competitive even against single-category specialists, with compliance certs that survive legal review.

They've been running since 2014. 500,000+ clients. Every IP exclusively yours, never shared. The residential pool spans 20M+ IPs across 220+ countries.

Is it the right pick for your stack? That depends on whether you want raw IPs you control, or a managed extraction layer someone else runs. This review walks through verified pricing for all five proxy types, the three discount mechanisms that stack, where Proxy-Seller is genuinely strong, and two scenarios where a different provider will serve you better.

OpenClaw is a self-hosted AI assistant gateway: it connects chat channels (Telegram, Discord, web, and more) and tools to an LLM you choose—often Ollama or vLLM on your own hardware, or a cloud API when you accept that tradeoff. It is not a foundation model; it is orchestration you run yourself.

In March 2026 the project drew unusual attention—including a milestone our editors cited in the weekly roundup (Top 10 AI and tech stories this week). This is time-stamped commentary, not a substitute for upstream docs: channel lists, defaults, and feature names change; confirm behavior, licensing, and security advisories in the official project before production. The piece separates what that attention reflects from what still depends on your own ops discipline, and shows where OpenClaw sits next to local inference, workflow automation, and data collection layers.

Clay (now Mesh) does a lot of the heavy lifting when you connect email, calendar, LinkedIn, and Twitter. What it won’t do on its own is keep polling the open web forever: enrichment tends to reflect what was true when the contact landed in your book, not every headline or title change afterward.

Apify is where scheduled scraping helps — job moves, company news, fresh posts, GitHub activity — then you fold those findings back into Mesh as notes or updates.

Here are three workflows that combine the two without pretending there’s a single “native” button for it.

Production “agents” are mostly orchestration: LLM calls, tools, memory/state, retries, and guardrails. Three ecosystems lead in 2026—LangGraph, AutoGen, and CrewAI—each with different ergonomics for web data workloads.

AI-powered web scrapers use LLMs to replace fragile CSS selectors with natural language extraction prompts. Instead of writing $('.product .price').text(), you instruct the model: "Extract all products with name, price, and availability status."

The result is scrapers that work across multiple page layouts — but come with higher cost and latency than traditional extraction.

Freshness note: Pricing and features verified March 2026.

Extended thinking first shipped in Claude 3.7 Sonnet (February 24, 2025), the first hybrid reasoning model from Anthropic. It is now standard across the Claude 4 family, and the model you should actually reach for today is Claude Sonnet 4.6 for balanced agent work or Claude Opus 4.7 when a task needs the strongest reasoning. Extended thinking lets the model reason through multi-step decisions before it acts, which is what makes Claude reliable for autonomous web research.

This guide covers the three main patterns for using Claude in web scraping and data collection workflows. The code works the same whether you point it at Sonnet 4.6 or Opus 4.7. Just swap the model ID.

Both Firecrawl and Jina Reader convert URLs to clean Markdown for LLMs — but their scope, pricing, and capabilities differ significantly.

TL;DR: Jina Reader is free and instant for single-URL lookups. Firecrawl is the production choice for full-site crawls, structured extraction, and RAG pipelines.