FastAPI / Web Scraping Developer

@point2solutions

****FastAPI & Web Scraping Development**** I can help build a clean, scalable Python solution, whether it evolves into a high performance **FastAPI** service or a robust web scraping pipeline, with a strong focus on maintainability, asynchronous processing, and reliability. Here's my approach: → Develop clean, asynchronous Python code using **FastAPI**, **asyncio**, and **Pydantic**, with structured error handling and modular architecture. → Build efficient scraping pipelines using **Playwright**, **Scrapy**, **Selenium**, or **BeautifulSoup**, with rate limiting, retries, proxy support, and anti-blocking strategies where appropriate. → Design well documented REST APIs, background tasks, logging, validation, and database integration for future scalability. → Follow best practices including dependency injection, type hints, testing, and comprehensive documentation for long-term maintainability. Flow: Requirement Analysis → Architecture Design → Prototype Development → API/Scraper Implementation → Testing & Optimization → Documentation & Deployment Let's connect Thanks.

@muneeb6767

I have strong experience building FastAPI services, asynchronous Python applications, and scalable web-scraping pipelines using Playwright, Scrapy, Selenium, BeautifulSoup, and Pydantic, with a focus on clean architecture, rate limiting, error handling, and maintainable code that scales from prototype to production.

@akkiwadhwa1995

I am a Python-based web scraping and data engineering specialist with extensive experience delivering reliable, scalable data extraction solutions for businesses, startups, and research teams. I have carefully reviewed your project requirements and understand the need for accurate, structured, and maintainable data pipelines. Relevant Expertise Web scraping using Python, BeautifulSoup, Scrapy, Selenium Handling dynamic websites, pagination, authentication, and anti-bot mechanisms Data cleaning, transformation, and validation using Pandas Data storage in MongoDB, SQLite, CSV, and Excel formats Script documentation and handover-ready delivery Approach I design scraping solutions that are tailored to the target website structure and your data usage goals. My focus is on long-term reliability, clean outputs, and compliance with reasonable scraping practices. What I Need to Proceed Target website(s) Data fields to extract Output format preference Update frequency (one-time or recurring) Expected timeline I am confident I can deliver a solution aligned with your expectations and would be happy to clarify any technical details before starting. Regards,

@UzeeTech

Drawing from my 7+ years of experience, I'm confident that I can deliver exceptional value to your project. As a seasoned Full-Stack Developer with solid expertise in Python, Software Architecture, and Web Scraping alongside a comprehensive understanding of asynchronous code and rate limits, I am well-placed to help you build either your FastAPI service or web-scraping pipeline. I can point to numerous past successes which attest to my mastery in both FastAPI and web scraping. From designing scalable, secure, and optimized frontends using technologies like React.js and Angular, to developing backends with the likes of Node.js, Express or Python for efficient handling of tasks; all attest to my capability in meeting your unique project requirements. My technical stack is tailored around delivering robust solutions for exactly the kind of project you have on hand. Significantly, a key attribute working with me ensures you receive consistent daily updates, realistic timelines and an avoidance of ghosting - ensuring complete transparency into the progress of your project. My model of writing clean, documented and highly testable code aligns absolutely with your desire to maintain structured and BDBA-compliant programs. Choosing me guarantees that your project will not just be handled skillfully but will meet deadlines — over 98% of my deliverables are dispatched on or ahead of schedule. Contact me today so we can discuss in-depth how I can create a solution that works for you!

@albertc1996

Hi, I have more than 3 years exprience in FastAPI backend development and web scraping. I've built multiple backend services with FastAPI and also developed a commercial scraping system that collects data from more than 10 different websites through a unified FastAPI service. Unfortunately, that project is covered by an NDA, so I can't share the source code or repository publicly, but I'm happy to discuss the architecture and implementation details. My related expriences: - Playwright and selenium for dynamic websites - Asynchronous scraping pipelines - Proxy rotation - Rate limiting, retries, logging, ... handling - Bypass anti-bot protections, using OCR, impersonate, or even 2captcha when needed the right architecture depends on the target websites, update frequency, and deployment requirements, so I'd be happy to help evaluate the best approach before implementation.

@technologiesit

As a seasoned Full Stack developer with over 10 years' experience, I'm confident in my ability to deliver top-notch Python-based solutions tailored to your needs. Whether it's using FastAPI to build a lightweight service or leveraging web scraping tools like Scrapy, Playwright or Selenium for a robust pipeline, I've got you covered. Common concerns about meeting deadlines shouldn't be an issue here as I always prioritize writing maintainable, well-documented code over rushed delivery. Since there’s no fixed deadline for this project, we can focus on ensuring the end product is of the highest quality possible while setting milestones that keep us on track. Let's get started on turning your vision into reality professionally and seamlessly – together!

@zyeloncomputech

Hi sir, Thank you for giving opportunity for biding... we have gone through your requirements and we can FastAPI / Web Scraping stuff according to your exact requirements. Why You Need To Go With Us? And What Special you get with us. • Your vision = Our mission • Your idea + Our expertise = Winner on Web • Cutting edge web technology & design • Innovative, Cost effective & Customized service • Pragmatic Approach • Constant communication with clients • Consistent performance • On-time delivery • Maintenance of global quality standards • Your online business + Our experience = Your success Python, Data Analytics, Data Science, AI/ML, AI Automation, AI AGENT Portfolio IoT Data Analysis for Dairy Refrigerator Temperature Monitoring Real-time Object Detection using OpenCV and YOLO Supply Chain Management System Enterprise Data Warehouse Implementation Cloud Data Lake Migration Web Application Development for Wind Turbine Performance Prediction Data Analytics Platform for Supply Chain Optimization AI Bill System AI Try Dress

@TechizeBuilder

Hi! I read "FastAPI / Web Scraping Developer" carefully and I'm confident we can deliver. We bring extensive hands-on experience delivering enterprise-grade solutions across many industries—ERP, CRM, HRMS, LMS, web and mobile apps, e-commerce, healthcare, travel, real estate and logistics—with strong skills in Python, Web Scraping. Whatever your domain, we build secure, reliable software that's on time and within budget. Let's connect to discuss your goals, timeline and budget. Thanks!

@nikhilroyjs

Hello there! I am ready to build your Python-based project, whether we opt for a lightweight FastAPI service or a robust web-scraping pipeline. I will deliver clean, asynchronous code utilizing FastAPI's dependency-injection patterns or a scraping stack like Scrapy, Playwright, or BeautifulSoup, prioritizing strict rate-limiting and thoughtful error handling. I will also provide concrete proof of my expertise, including relevant code snippets and GitHub repositories demonstrating background tasks and Pydantic models. Let's connect so I can share my past work and we can collaborate on shaping the perfect technical roadmap and milestones for your launch! Best regards, Nikhil Chandra Roy

@Hrolgar

For this prototype I would start by checking the target site behaviour first, because the choice between a FastAPI service, Scrapy, or Playwright depends mostly on how the data is loaded and how aggressive the rate limits are. My approach would be pretty direct: inspect the pages/API calls, confirm what can be fetched with plain async HTTP, then only bring in Playwright if the site needs browser execution. If FastAPI makes sense, I would keep it lightweight with typed endpoints, background jobs where needed, structured error handling, retries, timeout handling, and simple logging so the prototype is easy to extend after the first pass. For 31875 INR over 3 days, I would deliver one working prototype: either the FastAPI wrapper around the data flow or the scraping pipeline, with clear setup steps, sensible tooling choices, rate-limit handling, and notes on what should be hardened next once the target behaviour is confirmed. Quick check before I start: do you already have the target site or data source picked, or is discovery part of this first prototype?

@NehalSK

Having successfully completed my Masters in IT from the prestigious University of Melbourne, I would bring a unique combination of skills and experiences to your project. As a Software developer intern for Queue Solutions, I gained significant experience in building efficient and user-friendly web applications using React and Node JS.

@robertb297

Building a robust scraping pipeline that seamlessly transitions into a FastAPI-driven service requires decoupling the extraction logic from the API layer—a challenge I handle by leveraging asynchronous tasks and clean dependency injection. My approach ensures your scrapers are resilient to site changes while your API remains highly performant under load. My Roadmap: 1. Architecture Audit: Define the data schema using Pydantic models to ensure type safety between the scraper and the API. 2. Prototyping: Develop a proof-of-concept crawler using Playwright or Scrapy, implementing strategic rate limiting and proxy rotation to maintain stability. 3. Integration: Transition the logic into a FastAPI service, implementing background tasks to handle data extraction asynchronously without blocking client requests. 4. Refinement: Finalize error handling and observability, ensuring maintainable, modular code. I have extensive experience building scalable Python backends and scraping infrastructures. Let's discuss your specific target sites and the expected throughput requirements to determine the optimal stack for your project. Best regards, Robert B.

@TechWagger2026

With over 14 years of experience and 416+ successfully completed projects, I have amassed a breadth of skills, particularly in Python development and web scraping that make me a perfect fit for your FastAPI/Web Scraping project. Endorsed by numerous clients across different domains including online delivery, real estate, medical and shipping among others, I’m dedicated to providing solutions that matter. My full-stack expertise extends to major frameworks like MERN, MEAN, PHP Laravel as well as key Python libraries like Scrapy and Selenium that are pertinent to the job at hand. I’ve built projects of varying complexity where data extraction from dynamic sites is a pivotal task, akin to what you're looking for. Moreover, my ability to smoothly integrate with critical third-party services like Google Maps or payment gateways such as PayPal, Stripe etc adds a holistic dimension to my proficiency; making me more than just a Python expert. I'm also aware of the importance of well-architected and documented code, and would endeavor to provide you with just that; contributing to the knowledge repository through tools like Git or BitBucket. Let's discuss your vision for this project intimately; together we can deliver an outstanding solution!

@sarthaktayal975

Hi! I specialize in async Python, FastAPI, and robust web scraping (Playwright/Scrapy). I write maintainable, type-hinted code with strict Pydantic validation, rate-limiting, and exception handling. Whether this becomes an API or an extraction pipeline, my architecture scales safely.

@thiagofoz87

Your project description makes it clear that the critical part is not only extracting data or exposing endpoints, but building a reliable async foundation that can evolve without becoming fragile after the first iteration. The decision between a FastAPI service and a dedicated scraping pipeline should come from prototype results, rate-limit behavior, retry strategy, and how dynamic the target sources are. I would approach this in phases: - Define the extraction/API workflow and identify blocking points such as authentication, anti-bot measures, pagination, or dynamic rendering. - Build a small async prototype using FastAPI + httpx/asyncio or Playwright/Scrapy depending on the target behavior. - Implement structured retries, request throttling, logging, and queue-safe background execution. - Add clean pydantic schemas, validation, and modular components so the pipeline can scale later without rewriting core logic. For dynamic sites, I usually prefer Playwright with controlled concurrency and caching strategies. For high-volume extraction, Scrapy or async workers are often more efficient. If the API layer becomes central, FastAPI with background tasks and dependency injection keeps the service maintainable and testable. I can also provide production-oriented practices such as containerization, environment isolation, structured monitoring hooks, and clear documentation for future expansion. The initial milestone can focus on validating the architecture and target-site behavior before expanding into the full implementation.

@iterativeTech

With a solid history of delivering projects on time, within budget and is future-proofed, I am confident that you will find your perfect fit for this Python-based task in me. As an AI and Cloud Data Engineering Specialist, my skills in Python and Software Architecture directly align with your project needs. My proficiency extends to developing AI/ML models, playing with large-scale dynamic data and implementing cloud-based ETL / ELT pipelines. Cognizant of the vital role of well-documented code, I’ll ensure that our workpieces are clean-cut, error-free and use FastAPI endpoints as dependency-injection patterns to guarantee seamless operations at all times. For insight into my coding style and credentials, please dive into my GitHub repository (link attached) where you will see not only the level of mastery I bring to FastAPI endpoints, background tasks or Pydantic models but also scalable solutions in finance, healthcare, insurance, and enterprise environments similar to yours. Though there's no set timeline for project completion at the moment let's move ahead both knowing that maintaining predictability without benched deadlines should be our collective focus. Moreover, my experience with Azure Logic Apps would lend itself well to creating intelligent workflows for easy stress-free task management as we progress. In summation, my technical expertise combined with a business-first mindset warrants tangible returns on your investment

@richard031596

FastAPI and a scraping pipeline are two different design decisions, and the right one depends on a single question I'll get to in a second — but the underlying engineering principles are the same either way: async-first, typed contracts on every input and output, and rate-limit handling baked in from the start rather than bolted on after something breaks. On the FastAPI side I structure endpoints around Pydantic models with strict validation, use dependency injection to keep auth and DB sessions clean, and offload anything slow to background tasks so the main thread never blocks. For scraping, I pick between Playwright and BeautifulSoup based on whether the target renders in the browser — and rate limits I handle with a token bucket pattern, not just a sleep timer, so the pipeline runs sustainably without triggering bans. I built a similar async data pipeline on AWS Lambda for Marin Software that processed large volumes without bottlenecking under load. Before I suggest which direction to prototype first: is the data source you're working with accessible via a public API, or does it only exist behind a browser-rendered interface?

@Ankurhardia34

Hello, I hope you’re doing well. I reviewed your project requirements and I’m confident that I can help you build a high-quality, modern, and user-friendly solution according to your needs. FastApI Web Scraping Development I’m Ankur, a Full Stack Developer with 7+ years of experience in: * Custom Website Development * E-commerce Development * Mobile App Development * Flutter App Development * Android & iOS Applications * WordPress & PHP Development * UI/UX Design * Admin Panels & APIs I have successfully completed 500+ projects for startups, businesses, and individual clients worldwide. Why work with me? ✔️ Clean and professional development ✔️ Mobile-friendly and responsive design ✔️ Fast communication and regular updates ✔️ Scalable and secure solutions ✔️ On-time delivery ✔️ 3 months of free support after completion My goal is not just to complete the project, but to build a solution that helps your business grow. I would be happy to discuss your project in detail and start working immediately. Looking

@Anika1802

Hey! As a Python developer with extensive experience in web and mobile app development, building SaaS platforms, working with AI-powered systems, and implementing business automation solutions, I have a diverse skill set that perfectly aligns with your project requirements. Adept at both frontend and backend development, I offer not just the technical expertise you seek but also a deep understanding of how to build reliable, scalable digital products. In terms of your specific requirements, my proficiency in FastAPI endpoints, background tasks, and pydantic models is well-established. I can demonstrate this through examples from my vast repertoire of code snippets or even provide a GitHub repository for further scrutiny. Notably, I have a sound grasp of handling large-scale data extraction from dynamic sites as required in web scraping. Additionally, my familiarity with various tools such as Scrapy, Playwright, Selenium, BeautifulSoup adds a breadth to my skillset that's likely a key asset for your flexible project needs. My approach always emphasizes clean architecture and efficient execution. I'm confident in my ability to deliver maintainable code alongside tailored documentation—two crucial elements for the long-term success of any project.