Parsing the category of the site thomasnet.com

Budget: 3000 UAH Deadline: 2 days

Hello.

I develop parsers in NodeJS. I am ready to take it on. Write to me, and we will discuss.

Budget: 12000 UAH Deadline: 4 days

I can do it for 12,000 UAH, the estimate is 4 days. Thomasnet opens, but due to login and possible speed limitations, I would create a careful parser with pauses, an error log, duplicate checking, and exporting to Google Sheets =)

!!Two clarifications needed!!
> Please provide a link to a specific category on Thomasnet
> I need your test account or permission to register a separate one for data collection

Regarding implementation - I will retrieve the list of companies without opening detailed pages, normalize the fields, separately mark companies without websites, and instead of a website, I will place a link to the profile in the directory. In the end, I will provide the table and script so that the collection can be repeated if the category is updated.

Similar examples of data automation logic
> https://business.ingello.com/vorfahr - automation of data collection and processing for the commercial process
> https://business.ingello.com/platforma - systematic work with data, roles, and operational logic

About us for FLH - https://systems-fl.ingello.com/ua Expand

Budget: 1600 UAH Deadline: 4 days

Good day. To announce the final cost, I would like to discuss some more details. I am indicating an approximate amount.

Budget: 3000 UAH Deadline: 2 days

Hello! The task is clear and technically simple for me: Playwright for login (free registration) with session retention, scraping ~120 category pages, extracting 6 fields without opening detailed pages, dumping directly into Google Sheets (~2500-2600 rows via Google Sheets API). Similar experience with login/session/protection bypass on a real project: https://github.com/kamedashe/Bohdan-Betskov-Portfolio (Playwright, persistent cookies, bypassing anti-bot patterns) A couple of technical clarifications:
— What to do if any of the fields (revenue, year founded, company type) are missing on the page for a specific company — leave it blank or put a dash?
— I will create the Google Sheet myself and provide access, or is there already a ready-made sheet with the required column structure? I will set a moderate delay between requests to avoid triggering account blocking during scraping — this is standard practice for such volumes. I am ready to start immediately after registering the test account.

Budget: 3000 UAH Deadline: 2 days

Hello! I have extensive experience in writing parsers for complex websites that require authentication. For your task, I will use Python with the Playwright or Selenium libraries to correctly bypass the login and collect data from all 120 pages. I will provide the result in a convenient Google Sheets format with all the specified fields (name, turnover, address, website, year of establishment, type). I am ready to start working immediately after discussing the details. Feel free to write, I will be happy to help!

Budget: 1000 UAH Deadline: 1 day

Ready to help with parsing the category of the site thomasnet.com. I will parse the necessary data and prepare it in Google Sheets. I will complete the task quickly and efficiently.

Budget: 1000 UAH Deadline: 1 day

Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various parsers. Please write to me in private messages to discuss the details. I would be happy to help :)