One-Time Data Extraction (3660 Records) – Professional Registry - Urgent -- 2

Job Description

I need data extraction from the following search results page:

https://o2.architettifirenze.it/albo/ricerca/
https://o2.architettiroma.it/albo/

The site shows Register of Architects professionals .

Data to Extract (from dettaglio)

From each professional’s Detail section, extract all available fields, including:

Nome
Cognome
Indirizzo (Address)
City (Città)
Telefono (residenza / contatto)
Email 1
Email 2


(Only fields that are publicly visible.)

- Output Format (MANDATORY)

Deliver the final data in Excel (.xlsx) or CSV

One professional per row

Clean columns (no merged cells)

No duplicates


Column structure can be agreed before extraction.

- Technical Notes

Site is ASP.NET (.aspx) with pagination

Data is server-rendered

Scraper must:

Handle pagination

Click/open each Detail page

Extract data reliably

Tools allowed:

Python (requests + BeautifulSoup / Selenium / Playwright)

Any method is fine as long as data is complete

- Budget

USD 30$ (fixed price)

- Timeline

2 days

-To Apply (Required)

Please briefly explain:

How you will handle pagination

Apply only if you agree for 30$, this amount will not be change.

In top of your proposal please mention word " Architeitti" for confirm that you are read this.