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very simple scraping process on a property website. (30$)

Hi.

This would be very very simple scraping process on a property website. (30$)

Please take a look at this full-scraping session.

---------------------

Target Website link.

(Target Link 1). [login to view URL]

(Target Link 2). [login to view URL]

Purpose.

It's to process rent properties in Tbilisi, Georgia.

Process 0.

Region specifying.

You see, (Target Link 1). You can see that in the search filtering lot,

You can see 'Area' and it's set to 'Old Tbilisi'. But this is not only target we should scrape, and we need to switch some other area in Tbilisi.

Friendly remind that 'Old Tbilisi' is just region name inside of entire 'Tbilisi'. There are other regions to scrape.

I do recommand to do it one by one. switching to another region inside of 'Tbilisi'.

also, later on, contain this information if this one is 'Old Tbilisi' or other region in related Rrocess 2_1_3. (Please look below)

-

Also,

(Rooms should be more than 2 rooms)

(Space should be more than 70 SQ)

(Price should be between 1000-2000 Lari / 400~800 USD)

Process 1.

When you look into Target Link, you'll see listed properties for rent.

That is leaning in each pages.

First of all, in the HTML component, you'll see each hyperlink of each listed property.

Page of 1. extract those hyperlink lists.

page of 2. extract those hyperlink lists.

keep go on until the max.

keep extracting the hyperlinks.

Rrocess 2.

Navigate in each of hyperlinks,

Here we need to extract 2 different targets.

Rrocess 2_1 =

(

Rrocess 2_1_1. Rent fee (Georgian Lari or USD)

Rrocess 2_1_2. Squrefeet.

Rrocess 2_1_3. (region) (For example) Old Tbilisi, Vake

Rrocess 2_1_4. (adress/street names) (For example) Abashidze street..

And also, save these information in one txt file.

as form like below.

(For example)

[login to view URL] (Propertylink. )

A_1 (Property code)

Rrocess 2_1_1. Rent fee (Georgian Lari or USD)

Rrocess 2_1_2. Squrefeet.

Rrocess 2_1_3. (region) (For example) Old Tbilisi, Vake

Rrocess 2_1_4. (adress/street names) (For example) Abashidze street..

In this property code,

'A' does mean it's from (Target Link 1)

If this propety is (Target Link 2), It should be code 'B'

)

Rrocess 2_2 = image.

in the html, (after extracting info of 'Rrocess 2_1')rid of everything else except ".jpg" ".png" image-links.

only extract image links in the html. from each listed property.

Process 3.

Download every extracted imgelinks. and name it into

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL] etc...

[login to view URL]

[login to view URL]

[login to view URL]

[login to view URL] etc...

And put these all images in a same folder.

so each different property, change the code in the middle

A_(C)[login to view URL]

---------------------

Condition 1.

This whole process should be done within 1 days. Dealine is 1 day from the time you got this message.

Condition 2.

Please Say "Yes, I can work" only if you can start it out immediately.

The faster the better.

Important Note.

Please show me sample of scraping one page as the way I mentioned.

Kemahiran: Data Scraping, Scrapy, Web Crawling, Pengikisan Web

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Tentang Majikan:
( 12 ulasan ) Incheon, Korea, Republic of

ID Projek: #19928924

Dianugerahkan kepada:

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