Budget: 300 USD Deadline: 7 days
Hello, I have extensive experience working with WordPress and creating parsers, as well as significant experience in parsing directly to a WordPress site from various sources, feel free to contact me.
We have a ready-made website on WordPress, where profiles of business owners of a certain category will be placed. The task is to collect, clean, store, and display these profiles on the site.
It is necessary to parse data from LinkedIn — approximately five thousand business owners of a specific category, including profile pictures.
There are also other data sources (donors) from which parsing can be done; details can be discussed. During the data collection process, the information should be properly structured (name, company name, business category, contact details, photos, etc.), while checking records for duplicates and removing them before adding to the database and displaying them on the site. The data should be as clean and standardized as possible in format.
To store the parsing results, a separate table should be created in the database to avoid overloading the main WordPress database. Part of the site interface and admin panel should be adapted to work specifically with this table. After cleaning and verification, the data should be imported to the site and displayed in the "Business Owners" section according to the structure and design of the page.
From you, we need a brief description of how you will parse data from LinkedIn, as well as your cost for the work and the estimated time frame for completion — from data collection to publication of profiles on the site.
Experience:
The contractor must have experience in creating parsers for Google Maps, social networks, Google search results, and aggregator sites. This is not a one-time task — we need a person who can regularly parse data from various sources as needed.
Scraping → Temporary storage → Cleaning → Final database → Connecting data to the website and displaying on WP
Python — Playwright (browser automation, bypassing protection), BeautifulSoup, asyncio, API integration. Libraries requests, BeautifulSoup, Selenium, Scrapy or Selenium.
For Google Maps — SerpAPI/Outscraper as a reliable data source.
Text cleaning, deduplication, classification through AI, filtering by keywords.
Validation of phones, emails, standardization of working hours, deduplication of businesses before recording in the database
MySQL, WordPress REST API, Custom Post Types + ACF. Scheme: collection → temporary storage → cleaning → MySQL → WP via REST API or WPAllImport.
Data is small business, data will be taken from Google Maps, Google Search, Websites, Yelp, Public government sites
There is a budget for API/proxy to bypass Google restrictions
We consider people only from Ukraine
If there is an active automated scraper in production, that will be a plus.
Budget: 300 USD Deadline: 7 days
Hello, I have extensive experience working with WordPress and creating parsers, as well as significant experience in parsing directly to a WordPress site from various sources, feel free to contact me.
Budget: 200 USD Deadline: 14 days
I can implement a production-level pipeline for collecting and integrating business owner profiles.
Here is how I see the implementation:
1. Data collection
— LinkedIn (Playwright + stealth + rotation)
— Google Maps / Search / company websites
— additional sources if needed
2. Data pipeline
Scraping → Raw storage → Cleaning → Deduplication → Enrichment → Final DB
3. Cleaning and processing
— deduplication
— data normalization
— contact validity checking
— category classification
4. Architecture
— Python (Playwright / BeautifulSoup / asyncio)
— MySQL / PostgreSQL (separate table)
— WordPress REST API / WP All Import
— ability for regular updates
Result:
— clean structured database
— ready integration into WordPress
— scalable data collection system
I have experience in:
— LinkedIn scraping
— Google Maps scraping
— Business leads generation
— WordPress integrations
I can create both an MVP and a full production solution with regular updates.
I am ready to start immediately after clarifying the details.
Budget: 1200 USD Deadline: 10 days
Hello! I will complete your task quickly and efficiently.
My portfolio: https://freelancehunt.com/ua/freelancer/romas6ka.html#portfolio
Write to me, I will start working today. I will be happy to collaborate with you!
Budget: 1200 USD Deadline: 22 days
Good day!
We have studied your project and have relevant experience.
I would estimate such a project at 55,000 UAH.
This includes:
- development of the structure;
- writing texts;
- design;
- layout;
- making corrections and fixing bugs;
- technical settings;
- consultations and training on working with the admin panel;
- domain and hosting.
Here are examples of work on WordPress:
https://www.bizlg.com
https://www.iholz.ch
https://www.ics-market.com.ua
https://solarenergo.ua
https://piwott.com
This is a package offer. If you cover any of the components on your side, please write to me privately to discuss the cost.
Budget: 700 USD Deadline: 1 day
Hello! I am a specialist in parsing and integrating business data. I offer to collect profiles of owners, structure them, and connect them to your system. I am ready to discuss the details and deadlines. Best regards.
Budget: 50 USD Deadline: 1 day
Hi,
I have experience building scrapers for Google Maps, LinkedIn, and aggregator websites.
I use Python with Playwright, BeautifulSoup, and asyncio for reliable automated data collection.
The workflow will include scraping, temporary storage, cleaning, and structured database import.
I will implement deduplication, validation of emails and phones, and data standardization.
Clean records will be stored in a separate MySQL table to avoid WordPress database overload.
Then I will connect the data to WordPress using REST API or custom admin tools.
Profiles will display in the Business Owners section following your page structure.
Best,
Andrii
Budget: 400 USD Deadline: 5 days
Good day. I am ready to implement a project for data parsing from LinkedIn and other sources for your WordPress site.
I use Python with the Playwright library for browser automation, as well as BeautifulSoup for parsing and cleaning data. During the process, I will collect data on five thousand business owners, structuring the information according to the necessary fields. Duplicates will be checked and removed during the cleaning stage, after which the data will be placed in a separate database table. I will also adapt the website interface to work with this table and ensure the correct display of information on the pages.
I have experience creating parsers for various platforms, which will allow me to efficiently complete this task. The estimated completion time is a couple of days. After agreeing on the details, we can start work immediately.
Budget: 60 USD Deadline: 4 days
I will perform parsing from LinkedIn and other sources (Google Maps, websites, aggregators) in Python using Playwright/Selenium to bypass protection and BeautifulSoup/requests for data processing. The data will go through the stages: collection → temporary storage cleaning (normalization, validation, deduplication) recording in a separate MySQL table integration into WordPress via REST API or WP All Import (Custom Post Type + ACF).
Budget: 200 USD Deadline: 3 days
Hello! I have carefully studied your project and am ready to start its implementation. Let's discuss the details for the best execution.
Budget: 200 USD Deadline: 4 days
Good day! I am ready to implement a parser for collecting user profiles, saving them in a database, and deploying them on the site in the form of similar profiles.
Budget: 250 USD Deadline: 7 days
Hello, with the help of Python Playwright
Budget: 100 USD Deadline: 2 days
Good day! I can do it right now. I will be happy to collaborate — feel free to reach out!
Budget: 125 USD Deadline: 2 days
Hello! My partner (designer + full-stack) and I have been specializing in the development of complex scraping and data automation systems for over 4 years, so we will implement your project for filling the database of business owners at the highest technical level. We will build a reliable pipeline in Python (Playwright + asyncio) to bypass LinkedIn's protection, using residential proxies and anti-detect browsers, and for parsing LinkedIn, we will apply a combined approach: automating searches through Playwright and integrating with API services (such as Proxycurl or Phantombuster) to ensure stability and avoid account bans. The entire process of cleaning and deduplication will be implemented through an intermediate MySQL database, where we will validate and standardize the data using AI classification (OpenAI API) before importing it into WordPress via REST API or custom SQL queries to a separate table with ACF support. Our experience in development is 4 years; check out our work at hyperfi.tech, espressolab.com.ua, hudi.com.ua. We have active scrapers in production and are ready for long-term cooperation with regular data updates.
Budget: 50 USD Deadline: 2 days
Good day, Roman. My main specialization is the collection, processing, and analysis of data, including the B2B segment (firmographic and technographic data, contact information, employee information).
I often use data parsing from LinkedIn and know all the features and nuances of this process. For this, I use ready-made professional online parsers and server proxies.
An example of completing a similar task can be found at this link https://docs.google.com/spreadsheets/d/1gJjcpQJY0kM9nfTRy4dcvBlID1EQ-C_OXVbCDjp5osQ/edit?usp=sharing. If necessary, the data can be presented in other formats (graphs, charts, etc.).
I will be able to provide the exact cost after completing a small volume task (test), the minimum amount for a one-time order (or test) is 50 USD.
Execution time: from 3 days.
--------------------List of all my services----------------------------
🔍 Search for potential clients - 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).
🤖 Automation of communication and interaction - setting up IT solutions for "warming up" accounts and conducting communication 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).
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