Contact Us
No results found.

Web Data Scraping

Web data scraping refers to the methodologies, and tools for programmatically extracting structured data from websites, such as DOM parsing, API interaction, and headless browser automation.

Explore Web Data Scraping

Best ScrapeBox Alternatives in 2026

Web Data ScrapingFeb 13

ScrapeBox is a widely used tool among SEO specialists, offering a variety of features and add-ons. However, the tool faces issues related to slow and poor performance, particularly with its SERP scraper. Check out our benchmark analysis of the top scraper APIs to compare speed and data depth side-by-side.

Read More
Web Data ScrapingFeb 13

Top Web Scraping Techniques in 2026 (No-Code & AI)

Web scraping is not the only method for collecting data from websites. Various other methods (e.g., LLMs) are available, and each technique has trade-offs.

Web Data ScrapingFeb 11

2026 Web Crawler Guide: From Indexing to Agentic Intelligence

Have you ever wondered how search engines such as Google and Bing collect all the data they present in their search results? Search engines index all the pages in their archives so they can return the most relevant results for queries. Web crawlers enable search engines to handle this process.

Web Data ScrapingFeb 11

How to Bypass CAPTCHA in 2026 (reCAPTCHA & hCaptcha)

To prevent circumvention, CAPTCHA systems evolve. By early 2026, the focus has shifted from simple image recognition to behavioral biometrics and identity correlation. Web scrapers must adopt agentic workflows to stay effective in this changing environment.

Web Data ScrapingFeb 11

Scrape Data from Twitter (X.com) with Python in 2026

Modern social platforms, such as X.com, employ strict anti-scraping defenses, including CAPTCHA, rate limits, and IP blocking. These security measures make building a custom scraper from scratch both difficult and prone to frequent interruptions.

Web Data ScrapingFeb 9

Best LinkedIn Scrapers in 2026: Benchmarks & Python Tutorial

We benchmarked the best LinkedIn scraper tools using 9,000 requests across posts, profiles, and job listings. This guide covers two main areas: Apify vs.

Web Data ScrapingFeb 3

Best 12+ AI Web Scraping Agents for 2026 (Free & Paid)

Manual CSS selectors and basic scripts no longer work well. As web architectures become more dynamic and AI-driven, traditional scraping methods become less effective. To keep data reliable, the industry is turning to Autonomous AI agents, vision-based scraping (VLM), and self-healing scrapers.

Web Data ScrapingJan 29

10 Best CAPTCHA Solving Services in 2026: AI & Human Solvers Compared

To find the best CAPTCHA solvers, we conducted a laboratory test, routing 100 distinct requests through each vendor’s network against a “worst-case” scenario: Cloudflare’s Enterprise-grade protection in “Under Attack” mode. Our research focused on identifying which tools provide a seamless automated bypass and which require too much human intervention.

Web Data ScrapingJan 28

6 Best Lead Scraping Tools: Pricing & Performance Review

When choosing a lead scraper, think about how much data you need and whether the tool fits your budget and technical skills. You can find specialized social media bots, cloud platforms, and affordable desktop apps for local data extraction.

Web Data ScrapingJan 28

The 5 Best LLM Scrapers (Tested & Ranked) in 2026

We ran a benchmark to compare how top LLM scraper providers like Bright Data, Oxylabs, and Apify perform with models such as ChatGPT, Gemini, Perplexity, and Google AI Mode. To ensure reliable results, we ran 1,000 tests per provider with each prompt repeated 10 times for consistency. The top-performing provider is detailed below.

Web Data ScrapingJan 28

Large-Scale Web Scraping: Techniques & Challenges ['26]

We benchmarked leading web scraper APIs with 12,500 requests to e-commerce platforms and search engines. Then, we tested the reliability of the underlying services (i.e. residential proxies) with 5,000 and 100,000 parallel requests. Based on these experiences, we outline how to efficiently and ethically scrape large-scale data.