• Projects 101
  • Rating 5.0
  • Rating 2 234

Budget: 1000 UAH Deadline: 1 day

I suggest to gather from Google Maps in the following format: https://docs.google.com/spreadsheets/d/1tUvjWkhe4amvXk-UzCdH8PUEgGUjvADPk7cr9IDgwXU/edit#gid=89543605 or from other sources. We will find out where from. Please reply.

  • Projects -
  • Rating -
  • Rating 349

Budget: 2000 UAH Deadline: 3 days

Hello! I have experience in gathering key information from various sources (including yours or, if absent, any available). I would be happy to collaborate.

  • Projects 6
  • Rating -
  • Rating 620

Budget: 3000 UAH Deadline: 1 day

Hello. ✋🏼 I am ready to compile a database of property management companies in Miami and surrounding areas.

Please let me know:
✅ How many companies are needed?
✅ Are contacts through a form acceptable if the email is not publicly listed?
✅ In what format is the file needed (CSV / Excel / Google Sheets)?
✅ Should it be limited to Miami only, or include nearby areas (Fort Lauderdale, Hollywood, Coral Gables, etc.)?

Once clarified, I will immediately start working on it.

  • Projects 10
  • Rating 5.0
  • Rating 426

Budget: 700 UAH Deadline: 1 day

Hello!
I am ready to complete it, we can discuss all the details in private.
I will be happy to collaborate.

  • Projects 31
  • Rating 5.0
  • Rating 3 185

Budget: 4000 UAH Deadline: 3 days

Hello. I can create a database, but you need to specify the resources from which to collect data. If it's relevant - write to me, we will discuss.

  • Projects 35
  • Rating 4.2
  • Rating 1 251

Budget: 1111 UAH Deadline: 1 day

Hello, I am ready to cooperate. Write to me in private messages and we will discuss.
Hello, I am ready to cooperate. Write to me in private messages and we will discuss.

  • Projects -
  • Rating -
  • Rating 110

Budget: 4000 UAH Deadline: 1 day

Good afternoon, please write to me in private messages, I will help you gather the database.

  • Projects -
  • Rating -
  • Rating 94

Budget: 3000 UAH Deadline: 3 days

Hello! The task is clear. I have experience in developing parsers in Python, which allows me to quickly and efficiently gather an up-to-date database of companies with complete contact information (Email, Web, Phone).

I will collect data from industry directories and Google Maps, check it for duplicates, and provide it in a convenient Excel/CSV format. I am ready to discuss the volume of the database and the deadlines. I look forward to your feedback!

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