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Data Parsing

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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.

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

1) Желательно сделать вывод информации в Гугл Таблицы
2) Если у компании отсутствует 1 тип контакта, оставить столбец пустым, например нет номера телефона, должно вытянуть почту и название компании.

3) При перезапуске программы, чтобы не дублировались данные

4) при повторяющихся данных компании, не дублировала

5) при нескольких контактах компании, записывало в разные ячейки

Proposals 10

by default date online rating cost completion time

56 USD

Oleg B.

56 USD

Good day .
Ready to fulfill the task.
Large experience of parsing, more than 500 projects completed

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22 November 2023, 15:28

56 USD

Serhii S.

56 USD

I suggest there is a designer that allows you to intuitively collect any parser.
I can collect the data in 1 day without any writing.

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22 November 2023, 11:21

56 USD

Ivan Naychenko

56 USD

Ready to fill in PHP as soon as possible, according to the

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22 November 2023, 3:44

100 USD

Ivan R.

100 USD

Welcome to
I'm going to make a parser on Python selenium only for a typical page.
It will withdraw all 1223 companies.

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20 November 2023, 21:24

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