What is data parsing?

Data parsing is concerned with the process or course of converting data from one format to another. The chief purpose of data parsing means to comprehend and manage structured data, which includes transforming unstructured data into structured or more organized formats. This assignment is generally carried out by data parsers who aim to convert raw data into formats that are easier to analyze, utilize, or store.

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What’s the relationship between data parsing and web scraping?

To guarantee the quality of data for analysis, companies need to undertake some measures prior to data parsing. The initial step usually involves data scraping, where a scraper is used to extract data from web pages. Nevertheless, this process may result in the extraction of irrelevant information, such as unparsed HTML documents and list tags. As a result, data cleaning and preprocessing are essential to ensure the extracted data is accurate and useful. These processes may entail eliminating incomplete or duplicated data, formatting correction, and filling in missing values, among other things. By doing this, data errors and noise can be reduced, thereby improving data accuracy and reliability, and making it easier to analyze and comprehend the data. At this time, you will need proxies with different IPs to imitate requests so as to avoid being detected and flagged by the websites. And MoMoProxy is believed a reliable provider for thousands of users to assist with web scraping tasks.