Python + BeautifulSoup and Selenium. Or any similar parsers. For collecting contact phone numbers.

Data Parsing — incorrectly specified categories?

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For collecting contact phone numbers of companies in Ukraine with 10 or more employees from websites. Various industries. Continuous parsing is needed. Possible parsers: Python + BeautifulSoup and Selenium BeautifulSoup: This module is suitable for collecting static data. It analyzes HTML code and finds specific elements, such as phone numbers. Selenium: Used for dynamic websites where content is created by JavaScript. Selenium opens pages like a web browser and interacts with their elements. This is convenient for complex scenarios. Scrapy This is a popular framework for web scraping. Scrapy allows you to quickly set up parsing of many pages. It has built-in tools for optimizing data collection. Scrapy is suitable for collecting large volumes of contacts. Regex for finding phones Regular expressions (regex) are convenient to use for finding numbers in HTML code. Regex helps to highlight phones in formats like +380... or (050)..., which speeds up the process. Google Sheets + Apps Script For collecting small volumes of data, you can use Google Apps Script. This allows you to create a script for collecting phone numbers from pages and adding them to Google Sheets. Or any similar ones.

Proposals 6 Discussions 2

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Dima Navrotsky

41 0

Projects 36
Rating -
Rating 696

Budget: 1000 UAH Deadline: 1 day

Good evening, can we start by looking at the source from which we will be parsing the numbers? I can write a parser in BAS (.exe application) All data will be in Excel But the exact date and price will depend on the volume and the difficulty of automating the source itself.

Maksym Sokolskyi

24 0

Projects 24
Rating -
Rating 3 828

Budget: 16000 UAH Deadline: 1 day

Hello,

I am ready to take on your project of collecting contact phone numbers of companies in Ukraine. I have experience in developing scrapers and bots for data collection automation. I can use Python along with BeautifulSoup and Selenium for parsing static and dynamic websites. It is also possible to use the Scrapy framework for optimized collection of large volumes of data. Regular expressions will help quickly find phone numbers in the specified format. I can also integrate with Google Sheets and Apps Script for convenient storage and processing of the collected data.

My rate is $16 per hour.

Best regards,
Maxim

Artur Lavrinovich

63 1

Projects 63
Rating -
Rating 8 057

Budget: 20000 UAH Deadline: 1 day

Good day!

I am ready to help with this project of collecting contact phone numbers of companies. I am waiting for the opportunity to clarify all the details and start working on it!

Vladimir O.

153 4

Budget: 1000 UAH Deadline: 1 day

Good afternoon! I am ready to do this work for you. Please write the details.

Ihor B.

20 0

Budget: 1111 UAH Deadline: 10 days

I provide data collection services on a regular basis. I will create a parser, set it up on my resources with support (I will monitor to ensure everything works and fix it if necessary). Please write to me to discuss the details and terms of cooperation.