Web Scraping
Web Scraping in Real Estate: Top 5 Use Cases & Data Sources
Big data is changing the face of the real estate industry as more businesses are trying to implement data-driven decision making strategies to multiply profits, increase customer satisfaction, and mitigate market risks.
15+ Best Low-Code & No-Code Web Scrapers in 2025
No-code web scrapers can be classified into the following types: See the best no-code and low-code web scrapers: Top no-code/ low-code scrapers with ready-made scripts Table features explained: Type*: Some no-code scrapers with pre-built scripts also provide low-code capabilities, allowing users to customize their scraping process with minimal coding expertise.
Top 15 Open Source Web Crawlers in 2025
Survey revealed that 35% of businesses believe big data and analytics are the top business functions impacted by open source implementation. Open source web crawlers enable businesses to extract online data in a real-time manner while leveraging the benefits of open source software such as lower costs and no vendor lock-in.
Web Scraping for Finance in 2025: Top Tools & Pricing
Scraping tools for finance can be divided into four types based on your programming expertise and the scope of your project: What are the best tools for extracting financial data? Table features explained: What kind of financial data can be collected via web scrapers? Below are various types of data that can be extracted using
Web Scraping for Recruiters: Top Tools & Techniques [2025]
Bright Data’s Data collector automatically extracts publicly available data from LinkedIn for recruiters.
6 Main Web Scraping Challenges & Practical Solutions ['25]
Web scraping, the process of extracting required data from web sources, is an essential tool in today’s data-centric world, yet it’s a technique fraught with challenges.
![Web Scraping for Machine Learning: From HTML to ML ['25]](https://research.aimultiple.com/wp-content/uploads/2021/08/machine-learning-web-scraping-190x143.png.webp)
Web Scraping for Machine Learning: From HTML to ML ['25]
~54.7 billion people around the world have been recorded to use the internet, creating 1.7MB of data every second. Crawling this exponentially growing volume of data could provide many opportunities for breakthroughs in data science.
Bot As A Service (Baas): What It Means And Platforms in 2025
Technology as a service represents the concept of delivering the benefits of technology to a business without on-premise existence of the tool or a long term investment.
Web Scraping with RPA: Tips and Techniques in 2025
Web scraping is the act of collecting data from websites to understand what information the web pages contain. The extracted data is used in multiple applications such as competitor research, public relations, trading, etc.
![Proxies for Web Scraping: Providers & Best Practices [2025]](https://research.aimultiple.com/wp-content/uploads/2021/04/proxy-scraping-1-190x143.png.webp)
Proxies for Web Scraping: Providers & Best Practices [2025]
Web scraping helps organizations to collect data from web sources, including social media platforms and e-commerce sites. The collected data enables individuals and businesses to make data-driven decisions and improve their services.However, the web scraping process can present different web scraping challenges such as CAPTCHAs, IP filtering, and rate limits.