Data Parsing | Web Scraping Tool | ScrapeStorm

ScrapeStorm is a powerful, no-programming, easy-to-use artificial intelligence web scraping tool.

Introduction

Data parsing is converting data from one format to another. Widely used for data structuring, it is generally done to make the existing, often unstructured, unreadable data more comprehensible.

Applicable Scene

Data parsing is used to extract, process, and transform data from various data sources and is widely used in many fields.

Pros: These include advanced automation, the ability to extract information from numerous data sources, increased efficiency, and more. We also support data cleaning to ensure data accuracy.

Cons: Data parsing has several potential risks. First, the structure and format of data sources are subject to change and require regular maintenance. Second, a website’s anti-crawler mechanisms can limit data analysis and should be treated with caution. In addition, accuracy and performance issues can occur when processing unstructured data and require advanced technical support. Finally, data parsing can encounter legal and ethical issues that require compliant data handling.

Legend

1. How EDQ’s “Parse” processor works.

2. Data pasing.

Related Article

Data parsing

Data cleaning

Timestamp

Data extraction

Reference Link

https://www.tibco.com/reference-center/what-is-data-parsing

https://brightdata.com/blog/web-data/what-is-data-parsing

https://en.wikipedia.org/wiki/Parsing