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  • Projects 4
  • Rating -
  • Rating 341

Budget: 2500 UAH Deadline: 10 days

Hello!
I have experience in creating parsers and data analysis from various platforms. I am ready to develop a parser that will collect users based on specified characteristics: the number of videos with a certain number of views, the presence of an email in the bio, and other criteria. I will take into account your requirements for accuracy and data collection speed. I would be happy to discuss the details of the task and deadlines.

  • Projects -
  • Rating -
  • Rating 399

Budget: 5000 UAH Deadline: 10 days

Hello!
We specialize in web scraping and data parsing, so we are ready to take on this task.
It is necessary to review the technical specifications to understand what users we are looking for and exactly what data needs to be extracted.
We will create code and architecture that will work and have the ability to scale for other tasks and goals in the future.
Write in private to discuss the details.
Thank you.

  • Projects 7
  • Rating -
  • Rating 171

Budget: 3000 UAH Deadline: 2 days

Hello!
I am ready to develop a parser that will collect users based on specified criteria — number of videos with the required number of views, presence of email in bio, and others.
I can implement data collection based on search queries, with filtering and export to a convenient format (CSV/Excel/Database). I have experience in similar automation.

  • Projects 5
  • Rating 4.9
  • Rating 690

Budget: 2500 UAH Deadline: 2 days

Hello!
I am ready to develop a TikTok parser according to your criteria. But I will need some clarifications from your side.
I will be happy to discuss the details and get started!

  • Projects 7
  • Rating -
  • Rating 595

Budget: 3500 UAH Deadline: 5 days

I will develop a TikTok parser that will collect users based on specified parameters:
number of videos with the desired view count
presence of email in the profile description
search by queries and topics
filtering by activity and number of followers (if needed)

Data collection can be implemented through browser parsing (Selenium/Undetected ChromeDriver) or via an unofficial API, depending on stability and speed requirements.

The data is exported to Excel or Google Sheets. Setup for repeated runs, scheduled collection, and proxy usage is possible.

  • Projects 20
  • Rating 5.0
  • Rating 9 264

Budget: 12000 UAH Deadline: 10 days

Good day, I am implementing a parser for requests (by relevant categories), please contact me.

  • Projects 18
  • Rating -
  • Rating 552

Budget: 8000 UAH Deadline: 7 days

Good day, ready to discuss and implement your project. Write, and we will agree.

  • Projects 71
  • Rating 5.0
  • Rating 3 205

Budget: 20000 UAH Deadline: 14 days

Hello.
Ready to discuss the project in more detail.
Do you have a project brief?

  • Projects 6
  • Rating 5.0
  • Rating 820

Budget: 3000 UAH Deadline: 7 days

Good afternoon I am ready to undertake the development of such a parser.

📌 What can be implemented:
— Search and collect users based on specified criteria:
• number of videos with the desired number of views
• presence of email or other data in bio
• activity, followers, etc.
— Work based on search queries (for example, by hashtags, keywords)
— Save results in a convenient format (CSV, Excel, database)
— Ability to set up automatic collection on a schedule

  • Projects 79
  • Rating 4.8
  • Rating 3 064

Budget: 3000 UAH Deadline: 2 days

Good day! I have experience, so I can implement such a bot in Python!!!! Contact me!!!!

  • Projects 14
  • Rating 3.7
  • Rating 1 277

Budget: 2000 UAH Deadline: 1 day

Hello, interesting task — ready to take on the implementation.
I can create a parser that will search for users by keywords, check the number of views on their videos, the presence of email in the bio, and save all data into a table.
It works both via API (where available) and through smart parsing. Implementation is possible within 1–2 days, depending on the volume.
You will be able to enter keywords and filters directly from the program.

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