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  • Rating 183

Budget: 75 PLN Deadline: 1 day

Good day. I am interested in your project. I have done similar work. I am ready to dedicate time solely to this task and create a parser (scraper) for you. The deadlines are approximate. The cost includes the service fee charged to the performer. I would be glad to cooperate.
+As it will be easier, I can communicate in Polish

  • Projects 3
  • Rating -
  • Rating 662

Budget: 100 PLN Deadline: 2 days

Hello! I can do it quickly — I have extensive experience in parsing.
I have worked with Selenium, Playwright, requests, aiohttp, BeautifulSoup

I developed parsers for such projects:
🔹 copart.com
🔹 iaai.com
...as well as for many other small sites.

Examples can be viewed here:
🔸 zvelta.com

  • Projects 9
  • Rating -
  • Rating 344

Budget: 500 PLN Deadline: 1 day

Hello, I have extensive experience in parsing any data and bypassing any protections like CF

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  • Rating 248

Budget: 999 PLN Deadline: 4 days

Good day!
I am ready to implement data parsing from Allegro.pl for cold calling. I propose the following plan:

Solution:
1. Tools:

Apify (Allegro Fast Product Scraper) – for collecting products, sellers, and their profiles.

Python + Scrape.do API – for extracting seller details (NIP, phone, email) through profile page parsing.

  • Projects 11
  • Rating 5.0
  • Rating 3 092

Budget: 1000 PLN Deadline: 1 day

Good time of day!
I am developing parsers in Python!
Write, we will discuss the project details.

  • Projects 3
  • Rating -
  • Rating 571

Budget: 1300 PLN Deadline: 4 days

Good day, I have extensive experience with parsing, I can offer my candidacy if you need to do it quickly and qualitatively

  • Projects -
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  • Rating 558

Budget: 1500 PLN Deadline: 5 days

Good morning,

This is Patryk Samson from WebyJuice – a company registered in Poland, issuing VAT invoices. We are happy to carry out the task of collecting seller and product data from Allegro.pl for cold calling purposes, providing the data in Excel format (category, product name, price, link, seller nickname, profile: company name, NIP, phone, email, address).

Instead of manual data collection, we propose automation based on a scraping script that efficiently retrieves all required information from Allegro.pl, ensuring high quality and compliance with the format (one row per product).

Implementation plan:
- Stage 1: Collect data for 50–100 products to verify quality.
- Stage 2: After approval, automatically collect data for all categories and products.

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