Removing data from the site

Data Parsing — incorrectly specified categories?

Project translated automatically. Log in or register, to view the original The purpose of the project: Develop a parser to extract the following information from the website https://www.realitnieso.cz/: E-mail addresses Phone numbers Company names Description: Develop a program that can automatically scan the said website, extract the necessary data and store them for further analysis.Data taken from the page https://www.realitnieso.cz/adresar-rk# by the region of Prague Functional requirements: Parser must accept the URL of the web page for scanning.You should be able to choose the type of data to extract: email addresses, telephone numbers, company names or their combinations.The Parser must process the page and extract the specified data.The data obtained must be stored in a convenient format (e.g., CSV, JSON or Google Tables for subsequent analysis or use.The technical requirements.Programming language: selected by the developer (Python, JavaScript, etc.)and d.)Use libraries/frameworks to parsing a web page (e.g., BeautifulSoup, Scrapy for Python, Cheerio, Puppeteer for JavaScript).Errors: The software must be resistant to errors and exceptions related to a change in the page structure or the lack of the necessary data.Interface: User interface is not required, but it is possible to implement a console interface to enter the URL and select the type of data.Testing: It is necessary to test the parser on different web pages with different structures to verify the accuracy of the data extraction.Check the correctness of the extract of email addresses, telephone numbers and company names.Additional requirements: Documentation: develop a brief description of the process of installing and using the parser.Possibility of expanding the functionality of the parser to extract other data (if necessary).Expected result: A developed and tested parser capable of extracting email addresses, telephone numbers and company names from the website and keeping the received data in a convenient format.Limitations: The Parser must be written and used in accordance with data protection laws and rules for the use of information from the Internet.

Update #1 from 21 November 2023

1) It is desirable to draw out the information in the Google Table 2) If the company does not have 1 type of contact, leave the column empty, for example, there is no telephone number, should draw the mail and the name of the company. 3) When restarting the program, so that the data is not duplicated 4) with repeated data, the company has not duplicated 5) with several contacts, the company recorded in different cells Log in or register, to view the original

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