Parsing of freelance exchange databases + LinkedIn
8000 contacts, there should be a detailed database in the format: industry, first name and last name, company name, and email (verified), the database will be in the form of a table, parsing will be done on 3 freelance platforms +Linkedin (if possible), more details in private
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Hello! I have been doing parsing for over two years, I worked on a project where we parsed certain data from the Upwork website. Can you tell me in detail about the platforms from which information needs to be collected?
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235 1 0 Hello! I can collect a detailed database of 8000 contacts in a spreadsheet format.
Database format:
industry
first and last name
company name
…
email (verified)
Sources:
3 freelance platforms
LinkedIn (where technically possible)
The database will be delivered in the form of a table (Excel / Google Sheets), with verified emails and no duplicates.
Deadline: 7–10 days
Cost: 13000
I am ready to discuss the details and start immediately.
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885 3 0 Hello, I have 3 years of experience in .NET development, during this time I have developed quite a few parsers and web scrapers, so the task at hand will be completed quickly and efficiently. If you are interested in my proposal, please write to me privately, I would be interested to hear more details about this project.
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721 7 0 Good day, I am a Python developer with over 7 years of experience, I have extensive experience in creating scrapers of various levels of complexity, including bypassing both regular CAPTCHAs and anti-bot systems. I suggest discussing the tasks and for your peace of mind and confidence in the result, to do a test collection.
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1611 35 1 3 Good day!
I am ready to start collaborating!
I have experience in similar projects.
*details in private*
Attention!
If I indicated in the total rate "1111" or "777", it means that I need more information to assess the project (also deadlines may vary depending on the scope).
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172 1 1 Good day! I am ready to complete this project. Great experience in developing various applications.
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110 Good day!
I am ready to compile a detailed database of 8000 contacts in a table format with the following fields:
industry • first name and last name • company name • verified email.
I have practical experience in market research, lead generation, and contact parsing for B2B mailings, so I understand the requirements for data quality and structure well. I work carefully and systematically, always verifying email addresses to minimize the bounce rate.
Sources for the database:
✔ 3 freelance platforms
✔ LinkedIn (if possible)
… ✔ additional open resources for verifying contacts
We will agree on the format of the final table with you (Google Sheets / Excel).
I guarantee:
• structure
• accuracy
• deadlines
• confidentiality
I would be happy to clarify details in personal messages and discuss the criteria for selecting contacts 😊
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183 Ready to collaborate. I have extensive experience with parsers and automation. I have the equipment to launch the parser and quickly process the primary sources. Always in touch.
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9944 117 0 Hello.
I develop parsers in NodeJS. I am ready to take on the task. Write to me, we will discuss.
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1681 4 1 Hello! I have extensive experience with similar tasks. I can implement a parser using Python. I have significant experience in the field of data analysis and programming. I also have the relevant professional education. Please let me know which freelance platforms you are interested in? I would be interested to discuss the project in more detail. Feel free to reach out!
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248 Hello! My name is Anastasia. I am interested in your project and have extensive experience in developing parsers and collecting complex B2B databases.
I have already implemented dozens of various parsers for different niches: from collecting data on artists and their managers from several social networks simultaneously to automating the collection of e-commerce platforms and niche-specific catalogs. I work with both Python scripts and cloud solutions, which allows me to bypass complex protections and CAPTCHAs.
My advantages:
Versatility: I can structure data from completely different sources into a single convenient table.
Verification: Each email undergoes mandatory validation checks so that you receive a database with zero risk of bounce rate.
…
Experience with LinkedIn: I know how to work with this network safely and effectively to obtain direct contacts.
To clarify the details, I have a few questions:
Which three freelance platforms do you plan to parse?
Do you have a list of target industries and the geography of the search?
What deadlines are a priority for you?
I am ready to discuss the budget after a brief clarification and provide examples of my work in private messages. I look forward to collaborating!
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1422 13 0 Good day! I have reviewed the task. I can implement parsing:
- processing profiles from freelance exchanges
- obtaining full name and company name
- checking email
- saving in Excel/CSV with filtering and uniqueness
Please clarify:
- Which specific freelance exchanges?
- Should LinkedIn be the main source or just an additional one?
…
Send an example of how a row in the table should look, and I will prepare an accurate proposal regarding timelines and costs.
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1251 35 1 3 Hello David, I will do it.
Write to me in private messages to discuss the work.
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727 6 0 contact us
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Для парсингу linkedin є apollo.io, але він платий.По АPI можна брати необхідні дані.
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Є розуміння як спарсити дану базу? Під конкретні сайти які я запропонував не обов’язково підвязуватися, linkedin найкраще рішення, а додаткові сайти можуть бути іншими, це як 1 из варіантів
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