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Your cURL command works flawlessly in the terminal. It has for weeks. Then your boss asks, "Can you make this run in JavaScript?" and suddenly you're here. Good news: you have options. You can run the system cURL binary directly from Node.js, or you can ditch cURL entirely and use a native JavaScript HTTP client that does the same job. This article walks through both paths – child_process, node-libcurl, Fetch, and Axios, plus a flag-by-flag cURL-to-JS translation guide and a decision framework so you don't pick the wrong one.

Most Shopify stores have a built-in JSON endpoint for product data: prices, variants, inventory, images. Web scraping Shopify means requesting /products.json, paginating, and getting the catalog as JSON. But the endpoint is limited to 250 products per page, and some merchants disable it. This guide covers both: the JSON approach for stores that have it, and the fallback for stores that don't.

Axios POST headers are one of the most important items for JavaScript developers working with HTTP. Configure them incorrectly, and your requests fail, authentication breaks, or data gets rejected. The good news? Axios gives developers several ways to manage headers, including inline on individual requests, globally via defaults, through reusable instances, and dynamically with interceptors. This guide explores how to use Axios to set headers across all request types, covering POST, GET, PUT, and DELETE requests, plus common pitfalls and fixes.

At first glance, residential and datacenter proxies may seem the same. Both types act as intermediaries that hide your IP address, allowing you to access restricted websites and geo-blocked content. However, there are some important differences between residential and datacenter proxies that you should know before making a decision. We’re happy to walk you through the differences so you can choose what's right for you.

Most B2B companies treat their SaaS subscriptions as a handful of manageable line items. We decided to calculate the real number from scratch by aggregating pricing for every tool in a typical stack. For a 50-person company, the total exceeds $141K per year – more than the salary of a senior engineer or VP-level hire. Here’s a complete breakdown of how a handful of "just $99/month" subscriptions quietly add up to a six-figure line item.

Scraping emails from a website is essential for lead generation, partner research, and CRM enrichment. However, to reliably scrape emails from a website, you need to handle multiple formats, including mailto links, plain-text addresses, obfuscated strings, and JavaScript-rendered content. This guide shows how to safely build a Python email scraper and scale it into a multi-page crawling workflow.

Browser-use is a Python library that lets an AI agent control a real browser – navigating dynamic pages, submitting forms, and extracting structured data without brittle selectors. Unlike traditional headless browser setups wired to rigid rules, it reasons with what it sees and adapts. By the end of this guide, you'll have a working agent scraping product data, interacting with web apps, and handling failure scenarios.

Bulk text extraction has become an inseparable part of modern-day existence, with real-world cases including building datasets for LLM training, archiving, content analysis, and RAG systems. However, extracting all text is far more complex than scraping a single page, so we’ve prepared a step-by-step guide to discover pages, extract clean text, remove unnecessary elements, and export structured datasets into proper formats. The tools we use are Python, Beautiful Soup, Playwright, and Decodo proxies.

Python is usually the first choice for web scraping, but it can struggle in high-throughput scenarios where you’re fetching many pages concurrently or need stronger reliability. That’s where Rust comes in. In this tutorial, you’ll build a Hacker News scraper in Rust, covering setup, JSON output, and scaling, along with where Rust excels, where it adds friction, and when to offload to a managed scraping API.

Traditional scrapers return raw HTML. Turning that raw data into structured AI-ready data takes 50%+ extra engineering time, and pushing it directly into an LLM quickly becomes expensive at scale. Crawl4AI was built for that gap: Playwright rendering, automatic Markdown conversion, and native LLM extraction in one open-source framework. This guide takes you from a basic page crawl to production-ready structured data extraction.

Playwright MCP is one of the most accessible ways to get started if you need data from a website but do not want to write scraping code. It enables an AI application or agent to control a browser, interact with web pages, and extract content just like a regular user would. In this article, you’ll learn what Playwright MCP is, how to set it up, and how to use it to scrape websites with natural language.

You've likely encountered “REST API” in documentation, job descriptions, or technical discussions, but what is a characteristic of the REST API? While APIs power everything from mobile apps to enterprise integrations, most developers implement them, ignoring their architectural constraints. In this guide, we'll break down the six characteristics of REST APIs from Roy Fielding's 2000 dissertation and explain why they matter for building scalable, maintainable systems.

Every Glassdoor scraping tutorial that uses Selenium or Playwright fails for the same reason: Cloudflare anti-bot protection fingerprints the TLS connection and blocks non-browser traffic. Glassdoor has internal API endpoints that return the same structured JSON that the frontend uses, without rendering a page. Because these endpoints accept standard HTTP calls, you can bypass Cloudflare by calling them with Python and curl_cffi for browser-grade TLS fingerprinting, plus Decodo residential proxies for IP rotation. This guide covers 4 complete scrapers for reviews, jobs, interviews, and company profiles.

SQLite runs inside every Android and iOS device, Python's standard library, and most embedded systems on the planet. The entire database lives in a single file, with no network layer, daemon, or config files to manage. That zero-overhead model makes it the default choice for web scrapers, mobile apps, CLI tools, and data pipelines that need structured storage without server complexity. This guide covers the full lifecycle: schema design, inserts, queries, security, and debugging.

Last December, a Consumer Reports investigation revealed Instacart was charging different customers different prices for identical groceries. Lawmakers reacted fast, with more than 40 bills across 24 US states now targeting dynamic pricing. We tracked over 1.5M price changes across 120+ retailers for Decodo’s Dynamic Pricing Index, and these bills are solving the wrong problem.

On 4 April 2026, Anthropic blocked Claude Pro and Max subscribers from using OpenClaw and other third-party AI agent frameworks under their flat-rate plans. The change forces affected users onto pay-as-you-go billing, with some facing cost increases of up to 50 times their previous monthly spend. Here's what happened and what you can do about it.

Scraping Google can quickly turn frustrating when you're repeatedly met with CAPTCHA challenges. Google's CAPTCHA system is notoriously advanced, but it’s not impossible to avoid. In this guide, we’ll explain how to bypass Google CAPTCHA verification reliably, why steering clear of Selenium is critical, and what tools and techniques actually work in 2026.

CreepJS is a browser fingerprinting audit tool used to test how detectable your automated browser is. If you’re trying to bypass CreepJS or improve browser fingerprinting, it helps you spot inconsistencies across signals like WebGL, fonts, and navigator data. This guide shows what actually gets flagged and how to fix the parts that still give your browser away.