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URGENT - Data Extraction and Web Research Project

This project was awarded to trans3 for $200 USD.

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Skills Required
Project Budget
$100-$300 USD
Total Bids
20
Project Description

Dear Bidders,

I am looking for a professional Data processing help with extracting information from about 400 URLs (with almost identical data structure) and inputting the data in excel file.

Required skills:

Detailed Oriented
Strong Excel knowledge
HTML Code reading and extracting data from html files
Extremely accurate data inputting

Task brief description:

1. Extract form 380 URLs following data:
a. School name
b. Logo image URL
c. Campus locations
d. Programs of interests (organized by campus name if available)

2. Fill the information in a excel file attached with this project, There is also a sample of 10 urls and some completed urls to see how the work must is done.

3. For Each program type next to it the what type of degree it is
a. Associate
b. Bachelor
c. Master
d. PhD (for doctor degrees also please type PhD)
e. Diploma
f. Certificate
g. Training

4. If the name of program doesn’t give you information what type of degree is it like "Business Administration" instead of "Bachelor in Business Administration" then you need to do small Internet research:

a. Search the name of the school in Google or your preferred search engine
b. Find the official school website
c. Compare the list of programs in URLs I provided with the list of programs in a school official site offers
d. Type next to each program the type of the degree (only for the list of programs form the list urls I provided not al the degree offers form official site).
e. If multiple type of degrees available per program then copy the whole row of the program line in excel, paste and add extra degree type under degree column
f. If no info available type “training”

I would greatly appreciate if you could send 3-10 completed data from my list of test urls for review (the 3 bold urls are the minimum amount of test urls that i would like to see before approving your bid).

Preference will be given to a bidder with most accurate and most number of URLs sent for review.

Thank you.

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