Full-Stack Development for Data Acquisition Platform

@quan9824

As an experienced Full-Stack Developer, I offer much of what you're seeking. With a background that includes building large-scale systems for web scraping, document processing, and data engineering, while incorporating enterprise-grade software architecture, my extensive skill set aligns well with your needs. In particular, I have deep experience with OCR integration and have successfully implemented similar solutions in the past for automating document discovery and downloading across various formats. My ability to extract and normalize metadata from numerous sources and store structured data in centralized repositories would play a vital role in creating your document intelligence platform. Moreover, my proficiency with Python, RESTful APIs, PostgreSQL (and other database optimization) as well as Docker-based deployments ensures not only high-quality work but also long-term maintainability. In addition to the technical match, I too believe in the project values of total ownership and transfer of intellectual property. Combining all these factors together, I am confident we can deliver a reliable solution on time that is future-proof and scalable for any subsequent AI or analytics requirements. When my skills are combined with my affinity for excellent client relationships, reliable timeliness and consistent project completion, it's clear that our partnership would be not just successful but also enjoyable

@vishal1145

Your OCR pipeline will become the bottleneck if you're processing thousands of scanned PDFs daily without parallel worker queues and result caching. I've architected similar document intelligence platforms that handle 50K+ documents per day - the key is designing for failure recovery from day one since web sources go offline and OCR jobs timeout. Quick question - what's your expected document volume per day, and do you need real-time processing or can ingestion run in scheduled batches? Also, are you targeting specific document types where metadata schemas are predictable (like government filings) or truly heterogeneous sources? Here's the architectural approach: - PYTHON + SCRAPY: Build distributed crawlers with rotating proxies and rate limiting to avoid IP bans, plus Redis-backed deduplication to prevent reprocessing the same documents. - TESSERACT OCR + CELERY: Implement async task queues that distribute OCR jobs across worker nodes, with automatic retry logic and fallback to cloud OCR (AWS Textract) when accuracy drops below 85%. - POSTGRESQL OPTIMIZATION: Design partitioned tables by source and date to maintain query performance as you scale past 10M records, plus JSONB columns for flexible metadata without schema migrations. - DOCKER + KUBERNETES: Containerize each service (crawler, OCR workers, API, admin dashboard) so you can scale components independently when document volume spikes. - REST API + FASTAPI: Build versioned endpoints with OpenAPI docs, rate limiting, and cursor-based pagination to handle bulk data exports without memory issues. I've built 3 document processing platforms that scaled from MVP to production without architectural rewrites. The difference is planning for distributed processing and failure scenarios upfront, not bolting them on later. Let's discuss edge cases like handling password-protected PDFs and sources that require JavaScript rendering before you commit to a timeline.

@Shrutibimpl

Hello, I will develop the document acquisition, processing, and intelligence platform MVP according to your specifications. I will write the scalable web crawlers and data adapters in Python, integrating an OCR framework to handle document parsing and scanned file conversion. I will set up PostgreSQL for unified metadata storage, coupled with an object storage system for managing the downloaded files. The architecture will include automated task scheduling and failure retry mechanisms. I will build robust REST APIs for data consumption and a web-based administrative dashboard to monitor pipeline health and processing metrics. Finally, I will containerize the entire platform with Docker for easy deployment and provide complete setup documentation. 1) Do you have a list of the specific public or semi-public web sources and their authentication requirements? 2) What volume of documents do you expect the system to crawl and process daily during the MVP phase? 3) Which specific OCR engine or cloud-based OCR service do you prefer to use for document processing? Thanks, Bharat

@mykhaylob4

✋ Hi there. I can build the MVP for your data acquisition and document intelligence platform with crawlers, OCR, APIs, dashboard, Docker setup, and clear handover docs. ✔️ I have solid experience building Python data platforms with web crawling, document downloaders, PDF and DOC parsing, OCR, PostgreSQL, REST APIs, Docker, logging, retry handling, and admin dashboards. In a similar project, I built a document collection system that pulled files from multiple sources, extracted metadata, stored documents, and exposed clean API endpoints. ✔️ For your project, I will create source adapters, crawler scheduling, document storage, metadata normalization, OCR processing, API access, monitoring screens, audit logs, and failure recovery. I will keep the architecture portable and easy for another team to maintain. ✔️ I will also provide the source code, database schema, Docker files, API docs, install guide, admin guide, and deployment notes with full IP transfer. Let’s chat to discuss your data sources, MVP scope, and timeline. Best regards, Mykhaylo

@akkiwadhwa1995

I specialize in designing custom web data extraction solutions using Python. My experience includes scraping structured and unstructured data from e-commerce platforms, news portals, directories, and social media sources. Beyond data collection, I ensure that the extracted data is properly cleaned, structured, and stored using databases such as SQLite and MongoDB, or delivered in analysis-ready formats using Pandas. My goal is to provide dependable scripts that convert raw web data into actionable business insights while maintaining clarity, performance, and maintainability. I look forward to understanding your specific data requirements. Sincerely,

@Algokage

Hello, I can deliver an efficient, tailored solution for your data acquisition platform, directly addressing your requirements. I'll build scalable web crawlers, automate document processing, and create a centralized repository with APIs and dashboards. My approach leverages Python, PostgreSQL, Docker, and REST APIs, ensuring a robust, scalable architecture. With 5+ years of experience in web scraping, OCR, and data engineering, I'll provide a developer-independent, portable solution. I'll deliver complete source code, database schema, Docker config, and comprehensive documentation. I'm ready to discuss further, share samples, or provide a demo. Thanks, Adegoke. M

@Hrolgar

Hi Abhay, Helgi here. Good to see the project back up, and thanks for the invite. We already aligned closely on the architecture, the reusable adapter approach that scales to many sources, and the lean validation slice to start, so I will not repeat all of it here. I am ready to pick up exactly where we left off. The figure here is just an indicative placeholder against the posted range. Our real scope and milestone plan are the ones we already worked through together, and I will confirm them on the project chat once we are connected again. Award and open the thread whenever you are ready and we can carry straight on.

@Vsion2

Hi there, I'm a Python backend / full-stack developer working with automation, backend systems, and data collection. I have 10 years of experience building scalable backends and microservices with Python, FastAPI, Django, and Python Full Stack Developer, Flask, I have completed 350+ similar projects with a 100% Positive Rating. You can check my review. If you are looking for Quality work, look no further. I'm interested in discussing your project, If you have any questions or special requirements, please don’t hesitate to message me. I'd be pleased to have the chance to assist you further with your project Best Regards Alema Akter

@TechWagger2026

With over 14 years of experience as a Full-Stack Developer, I am confident in my ability to deliver optimum solutions for your enterprise-grade Data Acquisition & Document Intelligence Platform. My extensive skills in Python, PostgreSQL, Web Scraping and API Development align perfectly with the needs of your project. Furthermore, I have a demonstrated track record in completing similar large-scale projects successfully, evidenced by my extensive portfolio consisting of more than 416 accomplished assignments across industries like Real Estate, Education, and Shipping where data accuracy and efficiency is critical. From building scalable web crawlers to creating OCR pipelines for scanned documents, I have hands-on experience in all the required areas for this project. Moreover, owning sound expertise of Docker-based deployment ensures that not only will I meet your present expectations but also future-proof the solution allowing easy integration with forthcoming AI and analytics modules without major redesign requirements. Understanding the importance of deliverables and intellectual property rights, I commit to providing you all deliverables specified in your important conditions within timelines, thus ensuring both functionality as well as maintainability by future development teams post-project completion. With me onboard the pitch, let's collaborate to build a solution that offers great flexibility, scalability without compromising on simplicity and speed.

@dushyant317

Hi, I can build your enterprise-grade document acquisition and intelligence platform using Python, PostgreSQL, Docker, OCR, and scalable REST APIs, delivering automated crawling, document ingestion, metadata normalization, OCR processing, centralized storage, monitoring dashboards, audit logging, and a future-ready architecture designed for AI and analytics expansion, with complete source code, documentation, deployment automation, and full IP ownership transfer.

@souravsasmal14

As a Full-Stack Developer and DevOps Engineer, I deeply resonate with your project's technical and strategic needs. My proficiency in Python, PostgreSQL, Docker, and REST API architecture is directly aligned to the demands of this project. I have successfully delivered similar large-scale projects like web scraping & crawling, OCR integration, and more. A notable example is dealing with terabytes of data-caching which precisely relates to your need for a scalable architecture capable of accommodating future expansion. Drawing from my extensive background in backend/API development and data engineering, I understand that the system must not only be cutting-edge but also maintainable for future developers. By giving due emphasis on containerization and solid documentation, I ensure that all my projects are developer-independent as well as fully portable - freeing you from the shackles of vendor lock-in. Lastly, one of the most important skills that I bring to the table is my comprehensive grasp on the wider technology ecosystem. The état-of-the-art requirements of your project demand constant expertise in emerging tools and approaches such as Kubernetes (K8s) for instance – which I can deftly engage with+ adapt as needed . Choose me to avail an optimized blend of skills where Full-Stack Development meets DevOps' finesse. Let’s bring your vision to life!

@rawheyx

Hi. I’ve built large-scale scraping and document processing systems with Python, OCR, and PostgreSQL, including full pipelines from crawling to APIs and dashboards. I can deliver a clean, Dockerized, and scalable MVP with no vendor lock-in and clear documentation. Happy to share relevant work and timeline—let’s discuss details.

@jagratip3

I can build your enterprise-grade document intelligence platform end-to-end. I’d design a scalable Python-based architecture with modular web crawlers, source-specific adapters, and a robust OCR pipeline for document extraction (PDF/DOC/XLS/ZIP). Data will be normalized into a unified schema and stored in PostgreSQL with centralized file storage. I’ll implement REST APIs, scheduling, retry/monitoring systems, and a Dockerized deployment setup. An admin dashboard will provide crawler health, data quality, and processing visibility. Fully portable, maintainable, and AI-ready architecture with complete documentation and IP transfer.

@sgwtechnology

I’m a Full-Stack Developer with strong experience in Python, data engineering, and backend system design. I’ve built scalable scraping pipelines, API-driven architectures, and document processing workflows using tools like Python, PostgreSQL, Docker, and OCR libraries. Approach: I will design modular crawlers per data source, normalize all extracted documents into a unified schema, and implement a robust processing pipeline with retry logic, logging, and monitoring. OCR will handle scanned files, while APIs will expose structured data for dashboards and integrations. The system will be containerized for portability and future expansion. Deliverables: • Scalable crawling & document ingestion system • OCR + metadata extraction pipeline • PostgreSQL schema + REST APIs • Dockerized deployment setup • Admin dashboard for monitoring • Full documentation & handover Clarifications: Q1. Which primary data sources are highest priority for MVP? Q2. Expected daily document volume? Q3. Any preferred OCR engine (Tesseract, AWS Textract, etc.)?

@bondoc0526

༺❖༻ Dear Client ༺❖༻ Thanks for posting about my specialist job area. Your requirements align closely with my experience in Python-based data engineering and scalable backend systems. I’ve built crawler pipelines and document processing systems using Python, FastAPI, PostgreSQL, OCR (Tesseract), and Docker. These systems handled multi-source data ingestion, metadata normalization, scheduling, retries, and API-based data access with monitoring dashboards. I can develop your MVP as a modular architecture with source-specific crawlers, document extraction (PDF/DOC/XLS), OCR pipeline, unified metadata schema, and centralized storage. I will also implement REST APIs and an admin dashboard to monitor crawler health, data quality, and processing status in real time. The system will be fully containerized, scalable, and designed for future AI/analytics expansion with clean documentation and deployment guides. Let’s connect to align on stack, timeline, and milestones. Best regards, Glenn Bondoc

@mubashir021

Hello, I'm Mubashir Ahmed, a Full-Stack Developer, Engineer, and UI/UX Specialist. Your document acquisition platform needs a developer with web scraping and document processing experience. I have 6+ years of experience building scalable web applications. Your goal is to automate document discovery and ensure data normalization from multiple sources. - I will design and implement web crawlers using Python to collect documents and metadata. - I will set up an OCR pipeline to process scanned documents and normalize metadata. - I will build REST APIs for data access and integration. - I will create an administrative dashboard to monitor crawler health and data quality. - I will containerize the solution using Docker for easy deployment and scalability. My Portfolio: https://www.freelancer.com/u/mubashir021 Mubashir Ahmed

@zeoteam

Dear Client, I am interested in working on your project and would be happy to help bring your vision to life. After reviewing the requirements, I am confident that I can deliver a professional, responsive, and high-quality solution that meets your expectations. I focus on creating modern, user-friendly websites and web applications with clean design, smooth functionality, and strong performance. My goal is to ensure that the final product is reliable, easy to use, and works perfectly across all devices. I believe in clear communication, regular updates, and attention to detail throughout the project. Before starting, I take time to understand the project goals and requirements so that the final result aligns with your expectations. You are welcome to message me to discuss the project further and review my previous work. I am ready to start immediately and committed to delivering quality work within the agreed timeline. Thank you for your time and consideration. I look forward to working with you. Best Regards, ZeoTeam Technologies

@latifbaloch21

Hi, I reviewed your requirements and understand that you need a scalable document acquisition and intelligence platform for automated document collection, OCR processing, metadata extraction, centralized storage, REST APIs, and administrative monitoring. Our team has experience with Python, PostgreSQL, REST APIs, web crawling, document processing, Docker deployment, and scalable backend systems. We can deliver a maintainable, developer independent solution with complete source code, documentation, and future-ready architecture for AI and analytics expansion. I’d be happy to discuss the scope, timeline, and technical approach in more detail. Best regards, Abdul Latif

@abalmahfadi

⭐⭐⭐Hello!⭐⭐⭐, Looks like you're building a document intelligence factory—hopefully with fewer coffee breaks than the crawlers. I’m a Senior Engineer who believes working software speaks louder than long proposals. Thank you for your requirements are well defined. I’d build this with Python, PostgreSQL, OCR, REST APIs, Docker, distributed crawlers, centralized storage, monitoring, and scalable processing pipelines. ⭐ Relevant experience: - Fraud detection platforms handling large-scale data pipelines and analytics - AI vision systems with OCR/document processing workflows - CRM automation with AI-driven document generation and processing - Real-time transportation monitoring platform with scheduling, tracking, and operational dashboards ⭐ Two key questions: - How many source websites are included in the MVP? - Are any sources protected by authentication, CAPTCHA, or rate limits? After discussing your current situation in detail, I’ll provide the precise architecture, development roadmap, timeline, and fixed-price quotation. Also I can work comfortably within your preferred time zone. Thank you Abdullah