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Data parsing from LinkedIn

Translated56 USD

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Everything quickly and efficiently, according to the specifications and without questions! I recommend!

  1. 2035
     96  0

    Winning proposal2 days56 USD

    Good day
    Well, we can't do it for everyone)
    but in some selected cities we can parse
    Please reply

  2. 4501    47  0   1
    1 day22 USD

    Hello, Andriy.
    There is a ready solution for parsing potential leads through our own platform, which filters active people based on their interactions with posts (likes, comments) on a specific topic. Most parameters can be configured. The first project in the portfolio is what I am talking about.
    Feel free to reach out, we will discuss.

  3. 1695    35  1   6
    1 day22 USD

    Andriy, good afternoon. My main specialization is data collection, processing, and analysis, including the B2B segment (firmographic and technographic data, contact information, employee information).

    In my work, I use AI tools (Deep Research mode), professional platforms (Clay.com and similar), specialized databases (like Apollo, Lusha, etc.), which guarantees high quality and accuracy of information.

    An example of a completed similar task can be found at this link https://docs.google.com/spreadsheets/d/1gJjcpQJY0kM9nfTRy4dcvBlID1EQ-C_OXVbCDjp5osQ/edit?usp=sharing. If necessary, the data can be presented in other formats (graphs, charts, etc.).

    I will be able to provide the exact cost after completing a small volume task (test), the minimum amount for a one-time order (or test) is 1000 UAH.

    Deadline for completion: from 1 day.

  4. 542    11  2   2
    1 day33 USD

    Good day.
    I am ready to perform data parsing from the LinkedIn site according to your request.

  5. 726    9  1
    3 days45 USD

    Hello! Your project looks very interesting. I am ready to start working immediately and ensure high quality.

  6. 1 proposal concealed

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Client
Andrii Kopil
Ukraine Zolotonosha  18  0
Project published
2 months 17 days back
92 views
Tags
  • data parsing
  • python
  • LinkedIn
  • Web Scraping
  • Data Extraction