Data scraping - 1 hour job. Scrape the contact details of schools from 2 websites
₹600-1500 INR
Pagado a la entrega
Before you bid, please check our employer profile on Freelancer.com
We are an established employer. Quick and correct work will earn you positive feedback and timely payment
**************************************************************************************************
Project description: You need to find these 6 data fields:
1. School name (compulsory):
2. Address:
3. Contact number:
4. Mobile number (compulsory):
5. Website:
6. Email address (compulsory):
From these 2 websites:
1. [login to view URL]
(770 schools)
2. [login to view URL]
(1470 schools)
**************************************************************************************************
Your output deliverables are:
1. Excel sheet with school details
2. Scraping code for our future use
In case of any queries - or if you know a better way to do this - message me on Freelancer.com chat to discuss.
Good luck with your bid!
Nº del proyecto: #18886248
Sobre el proyecto
Adjudicado a:
Hi, I can help in completing the job. Please let me know. I can provide you the code and data in requested format. Looking to build my profile . Thank you, Deenathyalan
9 freelancers están ofertando un promedio de ₹1228 por este trabajo
Hi, Sir If you let me know your detailed requirement specification of your project, you may rest assured that your project will be finished with SMART UI design, POWERFUL UX and HIGH quality. I can work whole tim Más
Hey, my proficiency and efficiency in the use of ' Excel ' and good knowledge of internet usage will add value to your task. Thanks for anticipated consideration
Hey, I can do this task quickly and with quality stuff for you. I work as c# freelancer and i can quickly write a program to scrape your data and send you all details. I can send you this in any format you need in .csv Más
Hi ! If all the information to scrap are available on the website and there is no need for further investigation, i'll gladly scrap it for you.
I propose a Python script to do this work based on procsess automation script involving requests and data manipulation.