Web Data Extraction : Automated Data Retrieval from Websites Using CRM and CID Numbers
Budget: ₹1,000 – ₹2,500 INR
Title: Automated Data Retrieval from Websites Using CRM and CID Numbers
Description:
We are looking for an experienced developer to automate the process of retrieving data from specific websites using CRM and CID numbers. The goal is to develop a script or tool that will:
Look up Doctor's Specialization:
Use CRM numbers to search on the website: CFM Doctors Search
Extract doctor's information including their specialization.
Look up Disease Descriptions: https://portal.cfm.org.br/busca-medicos/
Use CID numbers to search on the website: MedicinaNet CID10 Search
Extract the disease description.
Deliverables: ( https://www.medicinanet.com.br/pesquisa/cid10)
A script or tool that can take a list of CRM and CID numbers as input.
Automate the search process on the specified websites.
Extract the required data and compile it into an Excel file with separate sheets for doctors' information and disease descriptions.
Requirements:
Programming Language: Preferably Python.
Libraries: Experience with web scraping libraries like BeautifulSoup, Selenium, and data processing libraries like Pandas.
Output Format: Ability to export data into an Excel file using Pandas or similar libraries.
Error Handling: Robust error handling to manage failed requests and parsing errors.
Compliance: Adherence to the websites' terms of service and rate limits to avoid being blocked.
Project Scope:
Input: A list of CRM numbers and a list of CID numbers.
Process: Automate the lookup and data extraction process.
Output: An Excel file with the compiled data.
Skills Required:
Web Scraping
Python Programming
Data Processing
Automation
Excel File Generation
To Apply:
Please provide:
Examples of similar automation projects you have completed.
An estimated timeline for project completion.
Any additional tools or technologies you recommend for this project.
By working on this project, you will help us streamline our data retrieval process, making it more efficient and less prone to manual errors. We look forward to your applications!
Budget: RS 2000 rupees
Deadline: 14 days
Description:
We are looking for an experienced developer to automate the process of retrieving data from specific websites using CRM and CID numbers. The goal is to develop a script or tool that will:
Look up Doctor's Specialization:
Use CRM numbers to search on the website: CFM Doctors Search
Extract doctor's information including their specialization.
Look up Disease Descriptions: https://portal.cfm.org.br/busca-medicos/
Use CID numbers to search on the website: MedicinaNet CID10 Search
Extract the disease description.
Deliverables: ( https://www.medicinanet.com.br/pesquisa/cid10)
A script or tool that can take a list of CRM and CID numbers as input.
Automate the search process on the specified websites.
Extract the required data and compile it into an Excel file with separate sheets for doctors' information and disease descriptions.
Requirements:
Programming Language: Preferably Python.
Libraries: Experience with web scraping libraries like BeautifulSoup, Selenium, and data processing libraries like Pandas.
Output Format: Ability to export data into an Excel file using Pandas or similar libraries.
Error Handling: Robust error handling to manage failed requests and parsing errors.
Compliance: Adherence to the websites' terms of service and rate limits to avoid being blocked.
Project Scope:
Input: A list of CRM numbers and a list of CID numbers.
Process: Automate the lookup and data extraction process.
Output: An Excel file with the compiled data.
Skills Required:
Web Scraping
Python Programming
Data Processing
Automation
Excel File Generation
To Apply:
Please provide:
Examples of similar automation projects you have completed.
An estimated timeline for project completion.
Any additional tools or technologies you recommend for this project.
By working on this project, you will help us streamline our data retrieval process, making it more efficient and less prone to manual errors. We look forward to your applications!
Budget: RS 2000 rupees
Deadline: 14 days