Freelance projects

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Scrape data from websites

Data Parsing, Python — incorrectly specified categories?

67 USD

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Websites to parse from:

https://empiredrop.com/

https://packdraw.com/

https://royale.gg/box/madness

https://hybe.com/

hypedrop.com

Format:

1) 5 json files separately for each site, and then 1 general json.

2) Google spreadsheet with the same fields. Where the image field should have one additional field pic_preview where there will be a picture preview, a small image in the cell.

What I need:

1 - image (downloaded and uploaded to our Google Drive - I will create it)

2 - title

3 - description

4 - price (in cents, so a footba for $10 will be 1000).

5 - brand (Ferrari, Balenciaga, etc.)

6 - category (car, art, tech, shoes, etc.) If possible.

7 - siteName (this is in the general JSON file and Google spreadsheets, to understand where it was taken from)

What I DO NOT NEED:

1. Coupons with the internal currency of the site

How to parse the products needs to be thought out, the option of just going through all the cases on the site is not very good because there may not be all products in all cases. It is better to parse them through upgrader/deals (separate game mode).

An example of how it should look in Google spreadsheets on the screen. For Google spreadsheets, there should also be 5 separate pages and one general page where all products will be.

Proposals 15 Discussions 3

Illia S.

0 0

Projects -
Rating -
Rating 180

Budget: 2900 UAH Deadline: 4 days

Good day, I am interested in the project. I am ready to start right now. We will discuss some details in private.

Ihor Pavlenko

4 0

Projects 4
Rating -
Rating 687

Budget: 10000 UAH Deadline: 7 days

Hello! I have worked with parsers, I can create a parser + API in Python. The details of the task and, depending on that, the deadlines and price can be agreed upon privately. An example of the parser is in the portfolio.

Yana Rudenko

2 0

Projects -
Rating -
Rating 226

Budget: 4500 UAH Deadline: 7 days

Good day!
I have extensive experience in web scraping. I can do everything efficiently and reliably.
I will implement it in Python.
For clarification of the terms - write to me in private messages.
I will be happy to work with you!

Roman Romanov

5 0

Projects 5
Rating -
Rating 643

Budget: 3000 UAH Deadline: 1 day

Good day.

Feel free to contact me, I have extensive experience in creating scripts and parsers. I write in Python and Node.js.
Write to me, and we will discuss all the project details.

Sincerely, Roman

Oleksandr D.

70 1

Budget: 4000 UAH Deadline: 5 days

Hello,
I have experience in writing scripts. I will format the result into separate json files.
Feel free to reach out, and we will discuss the project in more detail.

Vitalii Donchik

12 1

Budget: 3000 UAH Deadline: 4 days

Hello, Volodymyr!

I can write a parser for all websites! I will write it in Python + selenium + bs4, maybe somewhere requests will be suitable.

You will receive 6 json files and 6 pages in Google Sheets.

I will do everything quickly and efficiently!

I also want to note that there is protection in the form of Cloudflare on https://empiredrop.com/, I will be able to bypass it.

Hennadii Linovitsky

2 1

Projects -
Rating -
Rating 640

Budget: 27000 UAH Deadline: 7 days

Good afternoon.
Complex websites with surprises. Let's say there is room to think.
I am ready to create all parsers in Python for $1000 ($200 per parser). If the specified maximum budget of $27,000 is final, then ignore my offer.
It is quite possible to extract the required information from them within a week.

Serhii-Ivan Kulinyak

2 1

Projects -
Rating -
Rating 1 017

Budget: 3000 UAH Deadline: 1 day

Good day. I will do it in Python quickly and efficiently.

Oleksandr R.

44 0

Projects 37
Rating -
Rating 2 912

Budget: 15000 UAH Deadline: 5 days

Good afternoon.
I can implement it on NodeJs.
-----------------------------------

Illia Y.

1 0

Projects -
Rating -
Rating 262

Budget: 3000 UAH Deadline: 5 days

Hello, I am interested in your project!

I have 2 years of experience in web scraping using both requests and selenium.

I would be happy to discuss in more detail))