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  • Rating 478

Budget: 900 UAH Deadline: 2 days

Good day! I am collecting such contact databases from open sources — Google Maps, official company websites, business directories, event pages — I have done similar work in the B2B segment. I only take those emails/phones that are publicly published for contact, so the database turns out clean, without leaked or closed sources. One question for estimating the volume — do you need a specific target number of contacts (conditionally 100, 300, 500), or should I gather as many as possible across all relevant categories? I am ready to start, I can show the first entries quickly.

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  • Rating 427

Budget: 3000 UAH Deadline: 2 days

Hello! Collecting such a database manually is a colossal routine, but with the help of smart automated parsing, we will achieve a clean, fast, and 100% legal result.

I will develop a script that will gather contacts strictly according to a white-hat algorithm (without leaked databases and privacy violations):

1. TARGETING (Premium segment of Kyiv):
The script collects locations in Kyiv through Google Maps and business directories based on high-check markers: elite real estate, private business clubs, premium car dealerships, VIP services, five-star hotels, premium medical centers, and organizers of business events.

2. CLEAN COLLECTION AND VALIDATION:
- The bot visits the official websites of the found companies and communities.
- It scans only open pages ("Contacts", "About Us", footer of the site).

  • Projects 4
  • Rating 4.9
  • Rating 693

Budget: 1500 UAH Deadline: 3 days

Good day, I am ready to complete the task. Please write to me in private messages for clarifications.

  • Projects 5
  • Rating 4.9
  • Rating 1 753

Budget: 1000 UAH Deadline: 2 days

Good evening!

I will gather a database of premium segment contacts in Kyiv from open public sources — businesses, executives, top managers, premium services, clubs, and business communities. I work with Google, Google Maps, official websites, directories, event pages, car dealerships, and clubs — only openly published contacts, without leaked or closed databases, as you specified.

In the table: contact for communication + source (where exactly found), so everything is transparent and verifiable.

Honestly, right from the start, to align expectations: personal direct contacts of top managers are rarely published in open access — more business contacts of companies, premium services, clubs, and communities will be collected (their official emails/phones). This is what "open public" means, as in the task — I will gather the maximum relevant information.

Please indicate the desired volume — and I will immediately orient you on the rate. It’s convenient to start with a small batch, so you can see the quality and relevance, and then complete the full volume.

  • Projects 43
  • Rating 4.6
  • Rating 4 975

Budget: 1000 UAH Deadline: 3 days

Good day!

I professionally conduct searches and collect contact information from open public sources. I have experience working with Google, Google Maps, and formatting results in Google Sheets/Excel, adhering to the requirements of the specifications regarding publicity.

Message me privately, and we will clarify the details.

  • Projects -
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  • Rating 306

Budget: 1200 UAH Deadline: 3 days

Good day, Vyacheslav.

I will gather a database of open public contacts in the premium segment of Kyiv — managers, entrepreneurs, top management, premium services, and business communities.

I work semi-automatically: my own tool extracts data from open sources (Google, Google Maps, directories, official websites), then I manually verify each contact before entering it — to ensure there is no junk or duplicates in the table. Only open public sources, no "gray" or closed databases.

The result: a structured Google Sheets / Excel table — columns "contact for communication" + "source".

A working example of my data extraction tool: https://price-monitor-bohdan.fly.dev (insert URL → get structured output).

  • Projects 31
  • Rating 5.0
  • Rating 7 213

Budget: 5000 UAH Deadline: 5 days

The task is to collect public contacts (email/phone) of premium segment representatives in Kyiv exclusively from open sources and structure them in a table.

Approach: A Python script for parsing Google Maps (car dealerships, premium clubs, business centers), business directories (YouControl, OpenDataBot, industry directories), and official websites — extracting contacts from public pages using regular expressions + Playwright for JS pages. Simultaneously, manual searches on event and business community websites where the parser does not yield clean results. Each entry should include a link to the source so you can verify the public nature of the contact.

How many rows are approximately needed in the output, and are there priority categories (for example, are car dealerships and clubs more important than the general business directory)?

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