Build Web Scraper to Extract Business Owner Leads from NY Court Filings

@Microlent

Hello, Recently I completed a Python automation project where a large Excel dataset was converted into a structured data pipeline and dashboard. Your requirement is quite similar, especially the part about collecting and structuring data automatically. I reviewed the NYSCEF CaseSearch system and understand the workflow. The scraper would search for the lender names you listed, capture the case results, extract the defendant business name from the case caption, and then open the complaint or summons documents to identify the owner/guarantor name and address. I would build this using Python with Playwright to handle the court search interface reliably. The script will download and parse the complaint PDFs, extract the required fields, and export everything into a clean CSV or Excel file. I will also structure the scraper so additional lender names can easily be added later without modifying the main code. Happy to review a few example cases with you to confirm the exact data points before starting. Best, Jenifer

@gauravgargcs

Hello, I will build a Python scraper using Playwright (or Selenium) that searches lender names, parses case results, downloads or reads complaint/summons documents, extracts the required fields (company name, owner name, mailing and business address), and exports the data to a clean CSV/Excel file with support for adding more lenders later. I have 10+ years of experience building robust web scrapers and automation tools that handle document parsing, dynamic sites, and structured data extraction. Let’s connect in chat so I can review the site behavior and confirm the document formats before starting the scraper. thank you Regards Gaurav Garg

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Web Scraper to Gather Business Owner Leads from NY Court Filings ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you're looking for a web scraper to collect business owner leads from the New York court filing system. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for web scraping. I'll use Python with Playwright or Selenium to build an efficient scraper that meets your needs while staying within budget. ➡️ Why Me? I can easily create your web scraper as I have 5 years of experience in web scraping and data extraction. My expertise includes Python programming, data handling, and automation. I also have a strong grip on relevant technologies, ensuring a smooth and effective solution for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I look forward to discussing this with you! ➡️ Skills & Experience: ✅ Python Programming ✅ Web Scraping ✅ Data Extraction ✅ Selenium ✅ Playwright ✅ CSV Export ✅ Data Analysis ✅ Automation ✅ Error Handling ✅ API Integration ✅ Database Management ✅ Project Management Waiting for your response! Best Regards, Zohaib

@mdrakibuddn

Hi There, I can make a windows .exe tool that can scrape data from your given NY court site to CSV or EXCEL Thanks.

@mananraja

Hi I have expertise in Web Scraping and can develop you a Python scraper to automate the extraction of required business data from New York court filing system website, in organized CSV/Excel format, based on your provided workflow/instructions. I'm available to discuss details in chat and can start right away. Abdul H.

@rabbiawebjuggler

As an experienced data analyst and web scraper, I understand the intricacies of extracting specific information from complex databases like the New York court filing system. With a strong proficiency in Python and Selenium, I can create for you an efficient script that will smartly search for lenders' names and automatically extract crucial data from complaint documents. One of my key skills is navigating through dense databases to unearth unique information, which aligns perfectly with your project's requirements. My past projects have involved extracting company names, addresses, and contacts for skip tracing purposes, making me well-versed in handling such sensitive data and ensuring its accuracy throughout the process. Beyond technical expertise, I also offer flexibility to enhance your project. My scripts are scalable and adjustable to accommodate any future additions to lenders' names. Additionally, I can export the results as CSV or Excel files for your convenience. Let's collaborate on this project, and I'll guarantee a professional and timely completion that meets all your expectations!

@atitudesam

I have read your project description and I am confident that my team and I can build the effective web scraper you need. With a strong background in software development and a focus on creating scalable, user-friendly digital solutions, we possess the exact skillset required for this task. Pitch: Using our expertise in Python - specifically within the domain of web scraping - we can create a scraper that not only seamlessly navigates the New York court filing system but also precisely identifies all relevant lawsuits filed by your target lenders. Additionally, our expertise in handling large data sets ensures that we will be able to effectively mine and organize the owner information you seek. Moreover, our penchant for working with API's will prove invaluable to not just designing a web scraper that works for present lender names, but also to easily scale it in future to include additional lenders in case the need arises. Finally, we are committed to agile development practices, extensive QA checks, collaborative communication, and timely delivery. So if you choose us for this fascinating AI-infused scrape into powerful digital products.

@farhanyoussef18

Youssef, Full-Time Freelancer with Python Programming expertise specializing in web scraping, I'm excited about your project to build a web scraper for NY court filings. Your need to extract business owner leads from specific merchant cash advance lenders like BizFund and Kalamata Capital Group, then identify defendant businesses and owner details from complaint documents, is a task I handle regularly. I can develop a robust solution using Python with Playwright or Selenium to navigate the court system, extract company and owner information, and handle dynamic content. The final output will be a clean CSV or Excel file, and I'll ensure the script is designed to easily accommodate additional lender names in the future. I have extensive experience with similar complex data extraction and automation workflows.

@sujonmax2

Hello, I can build a reliable scraper using Python with Playwright or Selenium to collect defendant business and owner information from the NYSCEF court search system. The script will search lender names, extract company and owner details from case captions and complaint documents, and export clean results to CSV or Excel. It will also be designed so additional lender names can be easily added later. I can deliver a working scraper within a few days. Regards sujon

@ASirbescu

Hi! I can build a reliable web scraper to extract business owner lead information from the NYSCEF court filing system. I have experience developing scraping tools using Python with Playwright/Selenium that can handle dynamic websites, document navigation, and structured data extraction. For this project, I will: • Build a scraper that searches the NYSCEF CaseSearch portal for the specified lender names (BizFund, Kalamata Capital Group, Vox Funding, RDM Capital Funding, LCF Group). • Automatically identify and open relevant case records. • Extract the defendant business name from the case caption. • Locate and open complaint/summons documents. • Parse the documents to capture the owner/guarantor name and mailing address. • Structure the data into a clean CSV or Excel file with: Company Name Owner First Name Owner Last Name Mailing Address Business Address (if available) The script will also be designed so additional lender names can easily be added later. I can deliver a fully functional Python script with clear instructions for running it and exporting updated lead lists whenever needed. Looking forward to discussing the project and any specific requirements you may have!

@asifdwan

As an accomplished Web Scraping Specialist, I'm certain I'm the ideal candidate to tackle your project. My proficiency includes working with websites featuring robust anti-bot defenses like Cloudflare and Incapsula – ensuring I can efficiently navigate, scrape, and deliver reliable data even from the most safeguarded environments. My extensive experience in using Python's Selenium and BeautifulSoup ensures that intricate tasks like scraping dynamic websites would be no challenge. One of my core competencies is data extraction, cleansing, structuring, and exportation in various formats ranging from Excel to CSV to JSON – aligning perfectly with your requirement for obtaining skip tracing contact details via scraping New York court filing system. Over the years, I've consistently exceeded client expectations through diligent work and quality results. You can trust me with your project's sensitive legal data. Furthermore, I offer scalability without ever compromising on attention to detail or the quality of my work. Whether it's a small task like this or a large-scale operation encompassing thousands of leads, I am more than capable of delivering accurate information within stipulated timelines. Let me handle the technicalities of this project while you focus on utilizing these leads to maximize your business potential. Let's discuss how I can give you the best results for your particular requirements. Looking forward to speaking further!

@onlinejob247

Hello, I can build a Python-based scraper using Playwright or Selenium to collect the business owner lead data from the NYSCEF case search system. Approach: • Search the court database for the specified lender names (BizFund, Kalamata Capital Group, Vox Funding, RDM Capital Funding, LCF Group) • Parse the case caption to extract the defendant business name • Open the complaint or summons documents for each case • Extract the owner/guarantor name and mailing address listed in the complaint Output fields: • Company Name • Owner First Name • Owner Last Name • Mailing Address • Business Address (if different) Deliverables: • Clean CSV / Excel file with the extracted data • Python scraper source code (Playwright or Selenium) • Script designed so additional lender names can easily be added later The scraper will be structured for reliable extraction and easy reruns. Best regards, Md Mohiuddin

@efanntyo

Hi there Thanks for posting this exciting project. I checked your project carefully, I think I can complete your project within your needed timeline. I am super professional in PHP, Python, Data Processing, Excel, Web Scraping, Data Mining, Web Development, Data Extraction, Selenium, Automation Please ping , I am always online here Thanks Efanntyo -.

@DedicatedVA

Well we can help build a reliable scraper to extract defendant business and owner details from the NYSCEF case search system. The script will automatically search for the lender names you listed (BizFund, Kalamata Capital Group, Vox Funding, RDM Capital Funding, and LCF Group), identify the relevant cases, and extract the required information from the complaint or summons documents. The scraper will be developed using Python with Playwright or Selenium, allowing it to search the case database, capture the defendant business name from the case caption, open the associated complaint documents, and extract the owner/guarantor name and mailing address where available. It will also be structured so additional lender names can easily be added later without changing the core logic. Once the data is extracted, the script will export everything into a clean CSV or Excel file with the required fields. We’ll also incorporate the validation logic from our in-house scraping systems to help maintain up to 99% data accuracy. Can you confirm if the scraper should also download and parse the complaint PDFs automatically, or only extract the information directly from the case document pages?

@mrresearcher99

Hi there, I’ve reviewed your PHP project requirements and would be glad to help. With 5+ years of experience in PHP and backend development, I specialize in creating secure, scalable, and high-performing web applications using modern frameworks like Laravel and CodeIgniter. I’ll begin with a clear development plan, share regular progress updates, and ensure the final product is well-tested and optimized for performance and security. Let’s connect to discuss your project goals — I’m ready to get started! Best, Bhargav PHP Developer | Laravel & Backend Expert

@vikrant12112

Hi , I have gone through your project, Build Web Scraper to Extract Business Owner Leads from NY Court Filings, and I am ready to start working as soon as you confirm. I offer best quality and highest performance at a reasonable price, with on-time delivery. I’m well-versed in PHP, Python, CSS, HTML, JavaScript, jQuery, Bootstrap, Angular, AJAX, Laravel, WordPress, Python, Data Mining, Selenium, Excel, Web Scraping, Web Development, PHP, Data Extraction, Data Processing and Automation. I’d love to discuss the project further to ensure we’re aligned on the scope, timeline, and deliverables. Please let me know a convenient time for us to connect, and I’ll be happy to accommodate. Thank you

@HiraMahmood4072

Hello, With over 7 years of experience in Data Processing, Excel, Web Scraping, Data Extraction, Python, and Data Mining, I have carefully reviewed the requirements for the project. To build the web scraper for extracting business owner leads from NY Court Filings, I propose using Python along with Playwright or Selenium. The scraper will search the New York court filing system for specific merchant cash advance lenders, identify lawsuits filed by these lenders, and extract the required information from the complaint documents. The scraper will automate the process of searching, extracting defendant business names, and retrieving owner information to generate a CSV or Excel file with Company Name, Owner First Name, Owner Last Name, Mailing Address, and Business Address. I am confident in my ability to deliver a high-quality solution that meets your needs. Let's discuss further details in chat to ensure the project's success. You can visit my Profile: https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@solutionsplayers

With my impressive Full Stack Development skills, particularly in Python and PHP, I have successfully developed numerous web scraping solutions that offer similar functionalities as the project requires. I am well acquainted with popular scraping libraries like Playwright, Selenium and have a strong grasp on designing Python scripts that ensure efficient data extraction. With this extensive experience, I am confident that I can develop an effective web scraper to extract business owner lead information from the New York court filing system. Furthermore, my understanding of both frontend and backend development will enable me to create a scraper that satisfies your project's specific requirements. From identifying lawsuits filed by targeted lenders to extracting defendant business and owner information, I assure you of a robust solution that fetches accurate data efficiently. What's more, I can develop the scraper using a modular approach so additional lender names can be seamlessly added later without any disruption to its existing functionality. Lastly, being detail-oriented, you can trust me to extract all the necessary information: Company Name; Owner First Name; Owner Last Name; Mailing Address; Business Address. Additionally, I will also ensure the proper formatting and delivery of the output file in CSV or Excel as per your requirements. Let's combine our respective expertise to streamline your business operations and drive significant results!

@arbu1499

Hi, I understand you need a **web scraper that searches the NYSCEF court system for specific lender names and extracts defendant business and owner information from complaint documents**. I can build a **Python-based scraper using Playwright or Selenium** that automates case searches, opens relevant filings, and parses the **business name, owner/guarantor name, and address details** directly from the documents. The script will export results to **CSV/Excel and be structured so additional lender names can easily be added later**. I’ll also ensure the scraper is **stable, well-documented, and handles pagination, document access, and data extraction reliably**. Looking forward for your positive response in the chatbox. Best Regards, Arbaz Ali