Data scraping from various websites

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  • #2015867
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Yaroslav D.Arafat Bin H.Lovish B.JItendra K.AKASH K. + 10 others have already sent a proposal.
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Description

Experience Level: Expert
We are looking for a Python Programmer who can extract data from escort websites shown below:
Adultwork.com
Punternet.com
Escort-ireland.com
Data need to be stored in .dta file. A sample is included here (the sample is in excel but we need the data you extract to be in .dta file)
We also want data from the same websites but from 2012 and onward (not just the current information). Can discuss more in details.
After extracting the data, we also request your Python code.
About the data, please scrape from these locations:
_North West of England, includes: Cheshire, Cumbria, Greater Manchester, Lancashire and Merseyside
_Northern Ireland
_Republic of Ireland

Categories are listed below and please check our excel file to see the layout.

***Adultwork.com:
The categories we need include:
1. Name
2. Rate per hour: incall/outcall
3. Phone number
4. Town/county/region/country
5. Member since
6. Gender
7. Orientation: Bi-curious/Bi-sexual/Gay/Straight
8. Age
9. Number of views
10. Last login
11. Nationality
12. Services provided: escort/webcam/phone chat/SMS chat/ Direct IM/available today/booking by SMS/logged in out
13. Preference: A level/ 15 min “quickie”, BDSM…
14. Ethnicity
15. Dress size
16. Review by clients:
a. Meet date
b. Meet location
c. Type
d. Time spent
e. Amount paid
f. Value for money
g. Overall rating

***Punternet.com: (North West area only, this page does not have Northern Ireland and Ireland)
1. About
2. Rates: not all have/ need to go to their website
3. Personal details (for independent escorts):
a. Ethnicity
b. Nationality
c. Age
d. Size
4. Reviews:
a. Type of visit: incall/outcall
b. Date
c. Time spent
d. Amount paid
5. Phone number

***Escort-ireland.com (Northern Ireland and Ireland only)
1. Location
2. Type (independent female escort, …)
3. Age
4. Ethnicity
5. Sexuality
6. Nationality
7. Rates (incall/outcall): 1 hour
8. Review:
a. Rating out of 5: satisfaction, value for money, overall experience
b. Recommended?
c. Would repeat?
d. Price paid (depends)
e. Time spent

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