Capabilitys
- Selects elements from webpage view
- Extracts data from selected elements (.csv, .json)
- Supports multi-page crawling feature
- Ability to extract a specific elements using the element inspection tool
- Ability to select a selector when a mouse click event occurs on an element
- Ability to select the desired elements from the entire DOM with a javascript selector (href, innertext, etc.)
- Ability to list selected elements and extract them as excel, json, csv file.
Use cases
Social Media Emotional Data Analysis
Many companies use web crawling to collect posts and comments posted on various social media platforms such as Facebook, Twitter, and Instagram. Based on this, companies identify brand performance, product, service customer satisfaction, and response.
Stock Market
Stock market is dominated by volatility, so stock price prediction is very important. Web crawling allows you to collect as much stock price data as you want on various platforms. The collected data can be used to discover trends or rules, or to create future stock price prediction models. Securities brokers can use the information to help make necessary business decisions.
Real Estate market
In the real estate market, web crawling is used not only for price prediction but also for pricing. Historical data is collected from various sources on the Internet using a web crawler. Real estate companies sometimes use the information in marketing strategies or decision-making processes.
For example, Zillow, a major U.S. real estate trading platform, collects information released on the Internet to assess the appropriate price of real estate.