Parsing information for database creation

Budget: 1000 UAH Deadline: 10 days

Good day, Anastasia!

I can gather such a database according to your criteria (roles, industries, company sizes, Kyiv) with verification and cleaning of irrelevant contacts.

An important point:
full contacts (especially phone numbers) are not available for everyone — realistically, I can collect quality profiles + some emails through additional tools.

Regarding the volume: I make selections of 100 / 200 / 500 contacts, the cost depends on the depth of search and validation.

It is optimal to start with a small test to agree on the format and quality. I am ready to discuss the details.

Budget: 15000 UAH Deadline: 7 days

Hello, Anastasia!

I have experience in comprehensive B2B database collection and lead generation through LinkedIn, Clutch, and social networks. Your task is quite clear to me: a quality selection of active LPRs (Founder, CEO, HRD, Marketing Lead) focusing on the Ukrainian IT sector, EdTech, and Fintech.

Why choose my proposal:

Quality parsing: I use tools for deep searching on LinkedIn and Clutch, which allows filtering companies by employee size (10–200+ employees) and geolocation (Ukraine/Kyiv).

Data validation: I always check accounts for activity (no "dead" profiles for 6+ months), as you specified in the terms of reference.

Database cleanliness: I strictly adhere to restrictions — no crypto, gambling, MLM, or Russian companies.

Experience: I have previously successfully implemented similar projects coordinating data collection and verifying contacts through specialized platforms (including Zola for the US market).

To clarify the scope:
How many contacts do you plan to have in the final database? This will help me better orient you regarding the deadlines.

I am ready to prepare a test sample of 5–10 contacts so you can assess the quality and compliance with the parameters. Expand

Budget: 15000 UAH Deadline: 10 days

Hello! I am interested in your request. I have extensive experience in developing complex parsers and automating data collection, which allows me to gather a database not through a "scraping" method, but with deep filtering.

Here’s how I propose to implement your task:

LinkedIn + DOU/Clutch: I use my own scripts in C# (ZennoPoster) to simulate the actions of a real user. This allows me to bypass LinkedIn limits and collect data even from profiles that are hidden from regular searches.

Contact search: To obtain emails and phone numbers, I use a combination of API services (Apollo, Lusha, Hunter) and searches through open sources (Whois, company websites).

Filtering (Clean Data):

Activity check: I automatically check the date of the last post/reaction on LinkedIn. If there has been no activity for 6+ months, the contact is filtered out.

Blacklist: I will set up a strict filter based on keywords (crypto, gambling, coach, moscow, ru) to ensure that unwanted segments do not enter the database.

Validation: All found email addresses go through a service to check for existence (ZeroBounce or similar), so you don’t waste time on "dead" emails.

Realism of the request:

Names, companies, positions, and LinkedIn: Realism 100%.

Email: Realism ~85-90% for IT and marketing.

Phones: The most challenging point. Direct mobile numbers are usually available for 30-50% of the database (depending on profile openness). I suggest focusing on corporate or verified numbers.

Cost (approximately):

100 contacts — $50–70

200 contacts — $90–120

500 contacts — $200–250
(The exact price depends on the complexity of finding phone numbers for specific niches).

I propose to do a test collection of 5-10 contacts for free, so you can check the quality of the data and the format of the table.

I am ready to discuss the details! Expand

Budget: 1000 UAH Deadline: 4 days

Good day.

I understood the task of collecting the database: a selection of contacts from LinkedIn and additional sources (CEO/HR/Marketing, Ukraine/Kyiv, IT/EdTech/Fintech/agencies, with filtering by company size and excluding irrelevant niches).

Technically, this is done through parsing and aggregating data from open sources (primarily LinkedIn + directories like Clutch/DOU/Work.ua), followed by cleaning and structuring into a table (Excel/CSV). Emails/phones — through open data and contact enrichment services.

Budget: 1000 UAH Deadline: 1 day

I am among the top 10 developers in the category of "Artificial Intelligence and Machine Learning" among ~2100 specialists on the platform.
I guarantee:
- Fast and high-quality task execution
- Strict adherence to deadlines
- Regular communication throughout the entire process
I would be happy to discuss the details of your project in private messages.

Budget: 4500 UAH Deadline: 2 days

Good day!

I have extensive experience in both manual and automated collection and processing of various types of information. You can view examples of completed projects and feedback on them in my profile, more in private messages.
The cost for 100 contacts is $50, for a larger quantity we can discuss the amount.
Examples of completed projects:
https://freelancehunt.com/project/analiz-konkurentiv/1500505.html
https://freelancehunt.com/project/zibrati-spisok-naykrutishih-programistiv/1493621.html
https://freelancehunt.com/project/rozsilka-rezyume-na-indeed/1403537.html
https://freelancehunt.com/project/zbir-bazi-potentsiynih-klientiv-dlya-autsorsingovogo/1436641.html

Available for work, ready to start immediately after discussing the details of cooperation. Expand

Budget: 1111 UAH Deadline: 14 days

Good day!
I am ready to start collaborating!
I have experience in similar projects.
*details in private*

Attention!
If I indicated in the total bid "1111" or "777", it means that I need more information to assess the project (also, deadlines may vary depending on the scope).

Budget: 8000 UAH Deadline: 1 day

Good day. I am ready to complete this project as I have extensive experience in application development.

Budget: 3000 UAH Deadline: 6 days

Good day. I will take on the implementation: I have experience in parsing the B2B segment and possess the necessary software for extracting leads from LinkedIn Sales Navigator and DOU without the risk of blocking. The most realistic approach is a combination of LinkedIn Sales Navigator + Apollo.io (or Hunter.io/Lusha).

Budget: 4000 UAH Deadline: 4 days

Hello! I am Roman, an individual developer with 4 years of experience in creating automation systems and parsing, so I will professionally implement the collection of your database by combining automated parsing from LinkedIn, DOU, and Clutch with multi-stage filtering by niches (IT, EdTech, Fintech) and geography (Kyiv) to exclude irrelevant segments (betting, coaches, RF) and obtain only "live" contacts with valid emails and phone numbers; I work through FOP, guarantee confidentiality, and offer flexible rates: $100 for 200 contacts or $200 for 500 contacts, while as a specialist I advise focusing specifically on LinkedIn and DOU as the most realistic sources for validating positions and company sizes, and you can evaluate my technical approach through the links: https://3magency.co/, https://jk-solution.com.ua/, https://farfieworldwide.com/, Behance.

Budget: 700 UAH Deadline: 2 days

Good day! I can gather for you a quality and structured database based on these criteria from LinkedIn as the main source + Clutch/DOU/AIN and social networks for validation. I will filter by roles (CEO, Founder, HR, Marketing), geography (Ukraine/Kyiv), company size, and exclude irrelevant niches. In the end, you will receive a table with companies/people, positions, links to LinkedIn/Instagram/Facebook, and available emails/phones from public sources. I will also suggest realistic data collection limits and the optimal approach for your volume (100/200/500). I am ready to start immediately after clarifying the details.

Budget: 1000 UAH Deadline: 1 day

Hello! I will not provide hints in the general chat, but I am well acquainted with the process. I regularly gather contacts of top managers in various fields. We will discuss privately. Please write your budget proposal for this work and how many contacts you are counting on. Also, do you need 2-3 contacts in one company, or is one enough? Thank you.

Budget: 5500 UAH Deadline: 3 days

Good day! I have reviewed the task.

I can compile a quality database of B2B contacts focusing on real decision-makers (CEO, HR, Marketing), not just mass parsing.

I work carefully: I select only relevant companies and active profiles (LinkedIn, Instagram, Facebook), and I structure the data in a table (name, company, position, contacts).

I am ready to start immediately and show the first results for quality verification.

Budget: 8000 UAH Deadline: 3 days

Good day, I am ready to perform the work.
Work process and nuances:
1. Realistically gather full name, position, LinkedIn link, company name, and corporate email (in 70-80% of cases)
2. Unrealistically (automated) gather personal mobile phone numbers (a maximum of 5-10% will be found), filter for 100% activity in the last 6 months (LinkedIn does not easily provide this information)

The development of a custom parser for data collection will cost from $300 (depending on how many days it will take to write) just for writing the code.
Searching for a contact phone number in a semi-manual mode will cost $1 per contact.

In the end, you will receive a table with the name (if it is a separate person) or the name of the company, a link to the account (LinkedIn/Instagram/Facebook depending on where the information is from), email WITHOUT/AND a contact number.

Budget: 8000 UAH Deadline: 3 days

Good day. There is a script that closes your task, but with nuances. Since parsing social networks in the way you need is not realistic.

It meets your specifications.

Roles (Founder, CEO, HR, Marketing) — covered through key queries.
Geography Ukraine / Kyiv — partially through queries.
Sectors (IT, fintech, marketing) — partially through keywords.
Exclusions (crypto, casino, RF) - works through a filter.
Table with contacts - available.

Partially.
Company size is not determined accurately (no direct parsing of employees).

Account relevance (6+ months) is not checked.

Business sectors are determined approximately (by website/keywords).

Does not parse directly:
Instagram.
Facebook.
Does not work with:
Clutch / GoodFirms.

DOU.
Forbes / AIN / Work.ua.

Does not guarantee:
phone for most contacts.
personal email.

WHAT YOU GET AS A RESULT:
Realistically:
100-300 contacts per launch.

60–80% with email.

10–25% with phone.

all from LinkedIn.

WHAT IS UNREALISTIC IN THE SPECIFICATIONS:

100-500 contacts with phone numbers.

parsing Instagram/Facebook without bans.

exact filtering by company size.

checking account activity.

I can also package the script for you with a readme instruction.

The cost is approximately $1000-1500.
Or I can do it with an interface, etc., in a subscription format for the script around $150-200 per month. Expand