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.
The Best E-Commerce Dataset Providers of 2026
Paid dataset providers offer up-to-date, large-scale e-commerce data with defined coverage and regular updates, supporting applications like competitor price and stock-level tracking. In contrast, free e-commerce datasets are usually static and outdated, limiting their value for real-time decision-making, including dynamic repricing. Price comparison table of e-commerce datasets ProviderStarting price/moCustomizable plansFree trial Bright Data$250 for 100k…
Best ScrapeBox Alternatives in 2026
ScrapeBox is a Windows and macOS desktop application used for SEO tasks such as search engine scraping, keyword harvesting, link building, comment posting, and backlink checking. However, it is a desktop GUI tool, not an API, and the cost is higher than that of once premium plugins, proxies, and a CAPTCHA service are added. So…
Compared the Best Web Scraping Tools in 2026
We cover 13+ of the top web scraping tools, split into two categories: API-based scraping services: managed APIs with built-in proxies and anti-bot handling. No-code / visual scrapers: point-and-click interfaces for non-developers. For the API-based tools, we ran 12,500 real requests across 3,000+ URLs, covering e-commerce, SERP, and social media, to measure success rates and…
Best Python Web Scraping Libraries
Based on my over a decade of software development experience, including my role as CTO at AIMultiple, where I led data collection from ~80,000 web domains, I have selected the top Python web scraping libraries. Pros and cons of the best Python scraping libraries BeautifulSoup BeautifulSoup is a Python library for parsing HTML and XML…
Top 6 Food Delivery Scrapers: Benchmark & Use Cases
We benchmarked 6 web scraping providers to see how they handle food delivery data scraping, sending 12,000 requests in total across the top 4 food delivery platforms, and measured success rate, completion time, and metadata coverage. Food delivery data scraping benchmark overall results See the benchmark methodology section for more details on the testing process.…
Top 5 Social Media Datasets in 2026
We compared five leading social media data providers, focusing on the types of social data they offer and the platforms they include. For clarity, these providers fall into two groups: Content-level social media data (posts, comments, engagement) Profile- or identity-level data (social handles, professional profiles, company info). Platform coverage of social media dataset providers ProviderInstagramTikTokYouTubeFacebookTwitter/XRedditLinkedInPinterestQuoraGitHub…
Web Scraping Roadmap in 2026: Insights from 30M Requests
We scraped more than 30 million web pages using 50+ products from six web data infrastructure companies. We benchmarked these tools to see how well they handle enterprise web data use cases: Web data collection benchmark results VendorAPI Coverage*Unblocking RateDynamic ScraperPrice**Reliability Bright Data89%98%✅3.0High Decodo53%96%❌2.8Normal Oxylabs37%95%✅3.9High Apify63%N/A❌6.3Normal Zyte32%97%✅1.5***N/A*** NetNut11%N/A***❌3.0Normal Notes on the benchmark table: * Represents…
Scrape Data from Twitter (X.com) with Python
Social media 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. This guide uses the Twitter scraper API, which enables reliable, compliant scraping of Twitter data by managing proxy rotation and ethical…
The Most Common Web Scraping Challenges in 2026
Web scraping has become more difficult in recent years. Since 2025, AI-related scraping has raised significant legal concerns. Platforms and infrastructure providers have adopted new methods to control AI crawlers and manage data collection. What are the major web scraping challenges? There are many technical challenges that web scrapers face due to the barriers set…
Best YouTube Datasets: Bright Data, Oxylabs & Grepsr
YouTube has become a primary source for training advanced multimodal AI and large language models (LLMs). However, obtaining YouTube data at scale remains difficult due to anti-bot measures and significant bandwidth requirements. This review examines key companies in the YouTube data sector: Bright Data, Oxylabs, Decodo, and Grepsr. Each targets a specific market segment, ranging…