Contact parsing

Budget: 4500 UAH Deadline: 3 days

Hello.

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

Budget: 2997 UAH Deadline: 3 days

Hello, I am ready to quickly and efficiently complete the task. I suggest discussing the details in private messages.

Budget: 3000 UAH Deadline: 3 days

Good day!

I am ready to complete this task — parsing contacts of real estate agencies in Poland with filtering for foreign destinations (Spain, UAE, Bali, Cyprus, Thailand, Turkey).

What I can do:

Automated data collection from aggregator sites (Otodom, Morizon, agency portals) and Google Maps
Extraction of emails, phone numbers, social media directly from company pages
Deduplication and data cleaning before submission
Final file in Google Sheets or Excel with separate columns for each parameter
Stack: Python, Playwright/Patchright, asyncio — I already have a working tool for similar tasks (parsing Google Maps + company websites).

Clarify:

Is a specific minimum number of contacts required?
Only Poland as the country of agency registration, or also agents with the Polish market from other countries?
I am ready to discuss deadlines and costs. Expand

Budget: 5000 UAH Deadline: 3 days

Good day, Vladimir. 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), and specialized databases, which ensures high quality and accuracy of information.

An example of a similar task can be found at this link https://docs.google.com/spreadsheets/d/13JZEa9i1ElABL7J6UyGxOIE1BtQlBaf_9Qq6wzuKAhE/edit?usp=sharing. If necessary, the data can be presented in other formats (graphs, charts, etc.).

The price and deadlines I provided are realistic.

--------------------List of all my services----------------------------

🔍 Lead generation – data collection and creation of a database of potential clients (companies and their employees) based on necessary criteria, including contact information (phone numbers, email, social media profiles).

🤖 Communication and interaction automation – setting up IT solutions for "warming up" accounts and communicating with clients (current or future) using modern software solutions (including AI/ML).

📣 Promotion on LinkedIn: optimization and promotion of profiles (personal and corporate), searching and analyzing competitor profiles, expanding the network of contacts, setting up paid advertising (LinkedIn Ads). Expand

Budget: 15000 UAH Deadline: 3 days

Hello!

I have experience in data scraping from open sources, company websites, directories, real estate aggregators, and social networks. I am ready to compile a database of real estate agencies and agents in Poland according to your technical specifications.

What will be collected:
• Agency name / agent's name
• Contact phone number
• Email (if available)
• Company website
• Links to Facebook, Instagram, LinkedIn (if available)
• Link to the contact source

I will pay special attention to companies and agents working with foreign real estate (Spain, UAE, Bali, Cyprus, Thailand, Turkey, and other destinations), as well as investment properties in Poland and abroad.

For the work, I use automated scraping, searches on specialized platforms, and additional data verification to enhance the quality of the database.

I will provide the result in Excel or Google Sheets format with separate columns for each parameter.

I am ready to discuss the required volume of the database, deadlines, and project details. Expand

Budget: 1000 UAH Deadline: 1 day

Hello!

I have extensive experience in developing solutions for parsing and processing data (various sources, protection against blocking, automation). I am ready to complete the assigned task in the shortest possible time.

I suggest discussing the details in private messages.

Budget: 2000 UAH Deadline: 1 day

Good day!

I will compile a database of contacts for agencies and real estate agents in Poland who work with foreign and Polish investment real estate.

Data for each entry:

Agency name / agent's name
Phone
Email (if available)
Website
Social media (Facebook, Instagram, LinkedIn)
Source link
Result format: Google Sheets or Excel, a separate column for each parameter.

Focus: Spain, UAE, Bali, Cyprus, Thailand, Turkey, and other foreign destinations + investment real estate.

I am collecting only open business contacts. I will clean duplicates and structure the data.

I am ready to complete the first 100-200 contacts in 2-3 days. Please clarify the required volume — and I will provide guidance on the final price and timeline.

I am ready to start immediately. Expand

Budget: 3000 UAH Deadline: 4 days

Hello! I am ready to complete your project. I have experience in collecting B2B contact parsing. An example of a similar work I have done before: https://docs.google.com/spreadsheets/d/1ma4IcS3Wukkh2fJ79ORR8fNGoOBqdbkH/edit?usp=sharing&ouid=102572697027067735953&rtpof=true&sd=true

Budget: 2222 UAH Deadline: 2 days

Hello, I am ready to do it. From which resource should I scrape? Please write to me privately, I would be happy to collaborate.

Budget: 2000 UAH Deadline: 3 days

Good evening. I will gather such a database from Google Maps or find other sources according to your specifications.

Budget: 7777 UAH Deadline: 7 days

Hello.
I am a Senior developer with over 10 years of experience.
I have extensive experience in data parsing: from classifieds (the latest project in the profile review) to parsing contacts on websites in the CIS domain base (real project review in the profile https://freelancehunt.com/project/parser-na-node-js/634091.html).
I also have experience in real estate, but from a different angle (parsing the properties themselves on popular Russian-speaking portals).
I will do everything with quality and on time.
Feel free to write, I would be happy to discuss everything.

Budget: 4498 UAH Deadline: 2 days

Good day.

I have experience in collecting and parsing contact databases, working with Python, Selenium, and processing data in Excel/Google Sheets.

I can gather:
• agency or agent name;
• phone;
• email;
• website;
• Facebook, Instagram, LinkedIn;
• source link.

For an accurate estimate, it is necessary to clarify the desired number of contacts. I am preliminarily ready to complete the task within 2 days.

I will provide the result in a structured Excel or Google Sheets. Expand

Budget: 1000 UAH Deadline: 1 day

Hello, I am a Python developer with experience in developing parsers of varying complexity. I can complete your project quickly and efficiently. Write to me - we will discuss the details. I am ready to start working today.

Budget: 2000 UAH Deadline: 3 days

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

Budget: 2000 UAH Deadline: 3 days

Good afternoon! I can offer Google Maps. I have already gathered real estate agencies for other regions. If you're interested, write to me.

Budget: 6500 UAH Deadline: 2 days

Greetings! I am ready to implement a parser to collect a database of real estate agencies and agents. I will set up targeted filtering based on your target geography (Poland + foreign destinations: Spain, UAE, Bali, etc.). In the end, you will receive a clean, structured Excel/Google Sheets table with all available contacts and social media. I use Python/ZennoPoster with bypassing protections and proxies, which guarantees data completeness. Let's discuss the list of target websites, and I will get started!