Court Data Scraper & AI Repair

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@kamran2012

Interesting project, I will build the scraper for the Supreme Court and High Court sites using Python with Playwright for headless rendering, pulling judgments, orders, and cause-lists into your PostgreSQL database with de-duplication and clean normalization. It will run on cron with logging and graceful retries. Then I will trace and fix the broken Research module — the indexing layer bug — so the search endpoint returns accurate citations under two seconds once fresh data is seeded. For court sites specifically, I will build the scraper with per-domain rate limiting and session rotation because government sites often block IPs after rapid sequential requests without returning an explicit error — they just serve empty pages. Catching that silently broken state early prevents gaps in your dataset that only surface later when a citation is missing. Questions: 1) How many High Court sites need to be covered — all 25, or a specific subset to start? 2) For the Research bug, is the indexing layer using full-text search (tsvector) or a vector database for semantic search? Looking forward to talking through the details. Kamran

@muneeb6767

I can rebuild a stable scraper for Supreme Court & High Courts (Python + Playwright/BS4) with clean normalization into PostgreSQL, plus fix your indexing bug so the Research module returns fast, accurate results. Will include cron automation, deduplication, logging, and optimized search endpoint (<2s) with proper indexing.

@mkh559a5a1fd66e9

I already have most of the scrapper ready, i developed it using .net core 8, so easily can be customised as per your need and can published as crone job on linux vps. Moreover I can develop a RAG LLM pipeling for all Orders in pdf, so you directly query in Natural english/hindi language to get your well organized answer, Suggestions, Order Refrences etc. Drop me a message lets have quick conversation to finish it. With Regards Maroof K.

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for Court Data Scraper & AI Repair. We are experienced full-stack Python developers with skill sets in: Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL AI/ML & Data Science: Model development, training & deployment, NLP, Computer Vision, Predictive Analytics, Deep Learning React, JavaScript, jQuery, TypeScript, NextJS, React Native NodeJS, ExpressJS Web App Development, Web/API Scraping API Development, Authentication, Authorization SQLAlchemy, PostgresDB, MySQL, SQLite, SQLServer, Datasets Web hosting, Docker, Azure, AWS, GCP, Digital Ocean, GoDaddy, Web Hosting Python Libraries: NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc. Please send a message so we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@UzeeTech

As a seasoned full-stack developer with over 7 years of experience, I have meticulously crafted end-to-end solutions for complex projects like yours. My extensive knowledge in AI development and database management, coupled with my proficiency in Python and PostgreSQL make me the prime candidate to handle your Court Data Scraper & AI Repair project. Throughout my career, I've successfully created web applications just like the one we discussed, ensuring they are not only efficient and scalable but also capable of handling large amounts of real-time data. I'm fully adept at utilizing various types of web scraping tools such as BeautifulSoup and requests library in Python to seamlessly gather substantial amounts of pure text data while respecting robots.txt. Moreover, I bring a unique perspective having previously worked on projects involving court and government websites, this gives me an added advantage in swiftly navigating through the complexity of these digital environments. As your potential long-term collaborator, I would engage in open daily communication practices and provide you with realistic timelines to ensure complete transparency. My previous clients can vouch for my meticulous documentation skills which ensures they always receive clean code that is easy to understand and built without the need for any guesswork. Let's build something impactful together!

@aurvixlabs

Your AI legal assistant's 'Research' module is failing due to broken data ingestion and indexing—a two-part fix requiring a stable court-data scraper and precise backend debugging. In my Energy Label Parser project, I built an AI system to extract structured data from complex documents, directly applicable to parsing judgments and cause-lists. My Python, PostgreSQL, and web scraping skills match your stack, backed by my Applied Data Science with Python certification. I'd tackle this in two clear phases: first, building the scraper and database pipeline, then fixing the search endpoint. Can you share the schema for the new tables the 'Research' feature is failing to query, so I can target the indexing bug immediately?

@MintpathOS

I can quickly repair your legal-research assistant's 'Research' module and set up a robust court data scraper. My expertise in Python and AI will ensure accurate and timely results. Fast delivery guaranteed.

@zhang13240024571

Hi, I can fix your broken Research module and build a stable, legal-website scraper for you. I have strong experience in: - Web scraping with pagination & error handling - PostgreSQL database, indexing, and query optimization - Backend API debugging and fixing search performance - Cron jobs, logging, and reliable data pipelines I can make your endpoint return results within 2 seconds, cleanly insert structured legal data, and ensure deduplication. I can start immediately and deliver well-documented, maintainable code.

@bilal0156

Hi, I can fix your Research module by building a stable Playwright/BeautifulSoup scraper for Court data. I am an expert in PostgreSQL indexing and API debugging, ensuring your search returns results in under 2 seconds. I will provide a cron-automated, de-duplicated data pipeline with full documentation.

@karanpratap192

I can fix your 'Research' module by building a robust Python scraper (Playwright/BS4) with automated normalization for PostgreSQL. I’ll debug your indexing layer to ensure sub-2-second query speeds. With experience in legal data scraping, I'll ensure stable, cron-ready performance. Ready to start immediately.

@Shreyas1217

Hi, I have experience working with backend systems and fixing API-related issues. I recently built and deployed a FastAPI-based project and can help debug and fix your issue efficiently. I can start immediately and ensure a clean and reliable solution.

@lucast279

Your Research module failure sounds like a indexing/query mismatch against the new tables — I've debugged similar issues where the search layer breaks after schema changes in PostgreSQL. For the scraper, I'll use Python + Playwright (headless) for the JS-heavy court sites and BeautifulSoup for static pages, with proper pagination handling, de-duplication via unique case IDs, and cron scheduling with retry logic. I can start immediately — I have experience scraping government portals that use inconsistent HTML structures. Happy to do a quick diagnostic on the failing Research endpoint first to confirm the root cause. Could you share one of the sample failing calls so I can pinpoint the exact indexing issue?