Senior Python Web Scraping Engineer Small Job

@livegoodlife

Hello there, I am experienced in web scraping and building scripts or a Windows desktop application using Python. I am also experienced in large data scraping from a given website, bypassing IP, Captcha, and anti-bot or cloud flair protection. Please message me to discuss this project in detail. Best Regards Enamul

@shivansh121

Hi, I am available for the work.I have good working experience with Python, AWS,Django,Data Scraping. Looking forward to an early and positive response. Thank you

@jinufeb14

As a highly ranked freelancer, my priority is delivering top-quality code that adheres to best practices. I am well-versed in AWS, making me the ideal candidate for building your automated pricing intelligence system. My proficiency in data collection, mining, and scraping is a testament to my competence in handling structured data from online sources. The reliability and scalability that you require from this project align perfectly with my skills as a Senior Python Engineer. I understand the importance of not only capturing current data but also storing historical datasets for future analysis. My goal is to ensure long-term automated operation and integration with your internal system through well-designed API endpoints. As we all know, technology is constantly evolving but choosing me means you're getting someone who is future-ready and stays updated on new tools and platforms. Simply put, I will craft an elegant and efficient solution that meets your every need. Give me the chance to show you my competence!

@denisSolution

Hi client, I’ve carefully reviewed your job description and have strong experience in these Data Mining, Python, Data Scraping, Data Collection, Data Management, Data Processing, Amazon Web Services, Web Scraping and API Development. I can build a reliable web scraping solution tailored specifically to your needs. Whether using Node.js with Puppeteer/Cheerio or Python with Selenium/BeautifulSoup, I will extract, clean, and organize your data efficiently. I also handle anti-bot protections, pagination, and full automation as required. As you can see from my profile, my web scraping reviews are excellent, reflecting my commitment to quality work. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your target website and preferred data format. Thanks, Denis

@brayanstiven5

Hi, there, I am Brayan, an experienced Python engineer specializing in web scraping and data automation. With a proven track record in building automated systems for data extraction, processing, and storage, I am well-equipped to handle your project. ✅ Leveraging Python, I will develop a robust pricing intelligence system that collects and stores data from online sources. ✅ Implementing AWS, I will ensure the application's reliability, scalability, and long-term operation. ✅ I have hands-on experience in API development and data management, making integration seamless. ✅ Utilizing my expertise in data scraping, I will create efficient web scraping mechanisms for structured data collection. ✅ By focusing on data processing and management, I will guarantee accurate and timely delivery of information. I look forward to working with you. Best Regards. Brayan

@zditanuel

senior python engineer w/ 5+ yrs aws/scrapy/selenium pricing intel builds. i deploy scrapers→s3/dynamodb→api w/ lambda/ecs schedulers, scalable historical data. ready now.

@asharib17

Hi there I can build a reliable pricing intelligence system in Python that runs autonomously on AWS—scheduled collection, clean storage of historical datasets, and stable API endpoints for your internal integrations. **Proposed architecture (AWS-ready):** • Scrapers/collectors: Python (requests/httpx + Playwright where needed) with robust retry, throttling, and change detection • Orchestration: AWS EventBridge schedules → ECS Fargate tasks (or Lambda for lighter jobs) • Storage: PostgreSQL (RDS) for structured + historical pricing, S3 for raw snapshots, and Redis cache (optional) • API: FastAPI with OpenAPI docs, JWT/API-key auth if required, versioned endpoints • Observability: CloudWatch logs/alarms, structured logging, dead-letter alerts • CI/CD: Docker + GitHub Actions deploy **Deliverables:** • Data collection jobs with schedules and source-specific adapters • Normalized schema + historical tracking (price changes, availability, timestamps) • FastAPI endpoints for querying prices, trends, and deltas • Admin/ops tooling: health checks, backfill scripts, and runbooks • Deployment scripts + documentation If you share target sources, refresh frequency, and expected volume, I can align the design for rate limits, anti-bot constraints, and long-term stability on AWS.

@natanr28

HELLO, HOPE YOU ARE DOING WELL!\n\nI understand you need an automated pricing intelligence and monitoring system that collects structured data from online sources.\n\nMy expertise in Python web scraping and API development suits this project perfectly.\n\nMy plan involves gathering necessary data efficiently, storing it for historical analysis, and creating robust API endpoints for seamless integration with your internal system. I will ensure the application is designed for reliability and scalability on AWS, focused on long-term automated operation. \n\nI'd like to have a chat with you at least so I can demonstrate my abilities and prove that I'm the best fit for this project.\nWarm regards,\nNatan.

@ayesha86664

Hi there! I understand you need a Python-based automated pricing intelligence system that collects, stores, and exposes structured data reliably on AWS. Accuracy, scalability, and long-term automation are critical for actionable insights. I have experience building automated data pipelines using Python, web scraping, and scheduled data collection. I’ve designed systems that store historical datasets, handle data efficiently, and provide API endpoints for integration with internal systems. I’m also familiar with deploying and managing Python applications on AWS for reliable, scalable operation. My approach will be to design a robust scraper to gather pricing data, implement a historical data storage system, and build clean API endpoints for easy integration. Scheduled automation and error handling will ensure your system runs smoothly long-term. check our work https://www.freelancer.com/u/ayesha86664 Do you already have preferred sources or URLs for the pricing data to be monitored? Let me know if you’re interested & we can discuss it. Best Regards Ayesha

@nevenac888

Hi there! I can build your automated pricing intelligence + monitoring system in Python: scheduled scraping from public sources, clean/structured outputs, historical storage, and API endpoints for your internal integration. Deployed on AWS with reliability and long-term unattended operation. What I’ll deliver: - Scrapers with anti-bot resilience (rotating headers/proxies where needed) using Requests/BS4 or Playwright/Selenium when JS is required - Scheduled runs (EventBridge/Cron + Lambda or ECS/Fargate) with retries, logging, and alerts - Data pipeline: normalization, dedupe, change detection, and history tracking - Storage: S3 + PostgreSQL/RDS (or DynamoDB) depending on query needs - REST API (FastAPI) with auth, pagination, and documented endpoints (OpenAPI) Experience: 5+ years full-stack/automation. I’ve shipped multiple scrapers + monitoring bots (10k+ pages/day) and FastAPI services. I’ve delivered similar work for clients on Upwork. Quick questions: 1) Target sites + rough count? 2) Run frequency and API response format? 3) Preferred AWS stack (Lambda vs ECS)? Thanks, Elony

@sadam61

Hi there, I’ve read your project description, and I’m confident I can help you build the automated pricing intelligence and monitoring system you need. With over 9 years of experience in Python development, I specialize in creating reliable web scraping solutions, integrating data pipelines, and API development. I have completed similar projects successfully, ensuring scalability and efficient data management. I can start immediately and I am focused on delivering a solution that is robust and set for long-term operation on AWS. Let’s discuss any specifics you have in mind. Best regards, Sadam

@ryans084

Hello I am a Senior Python engineer with strong experience building automated data collection and pricing intelligence systems designed for long term stable operation. I can develop a reliable monitoring pipeline that collects structured data from public sources on a scheduled basis validates and normalizes it then stores clean historical datasets for analysis and comparison. The system will be designed with scalability and fault tolerance in mind using AWS services such as EC2 RDS S3 Lambda and CloudWatch depending on your architecture preference. I will implement robust logging retry logic and monitoring to ensure uninterrupted automated execution. I will also build secure REST API endpoints for seamless integration with your internal systems including proper authentication rate limiting and documentation. I am ready to discuss your data sources and architecture requirements and start immediately. Regards. Ryan

@danielboggs

Hi, I’ve read your description and can build a reliable, scalable pricing intelligence system on AWS that collects structured data from public sources on a schedule, stores historical datasets, and exposes robust API endpoints for your internal integration. I’m a senior Python engineer experienced with data mining, web scraping, API development, and long-running systems on AWS. I design scraping pipelines with resilient schedulers, proxy and retry strategies, structured storage (time-series and object stores), and clear versioned schemas for historical analysis. Technically, I’ll use modular Python scrapers (Scrapy/requests/Playwright as needed), a scheduler (Airflow or AWS EventBridge/Lambda), durable storage (S3 + RDS/DynamoDB or a time-series store), and containerized services behind an API gateway. I also have practical experience with LLMs, Transformers, chatbots, classification, and vector search to help if you later want NLP enrichment or semantic matching over product text. Next step: I can share a short architecture diagram and milestone plan within 48 hours, then begin a proof-of-concept scrape and API in the first sprint. Which top 3 target sites or data fields should be prioritized first, and are there any rate limits or IP/proxy constraints we must respect? Best regards, Daniel

@Hemantt841

You’re looking to build an automated pricing intelligence and monitoring system that collects structured data on a schedule, stores historical datasets, and provides API endpoints for internal integration, all running reliably on AWS. I understand the importance of designing a scalable solution that can operate long-term with minimal intervention. With over 15 years of experience and more than 200 projects completed, I specialize in Python development, web scraping, API creation, and AWS cloud deployment. My background in data processing and data management aligns well with your need to collect and maintain structured datasets efficiently. For your project, I will develop Python scripts to scrape data reliably from public sources on a scheduled basis using AWS Lambda or EC2 instances, store the data in a managed database like PostgreSQL, and build RESTful API endpoints for seamless integration. I estimate completing this within a few days given the project’s scope and budget. Feel free to reach out so we can discuss your requirements in more detail.

@afrosebristy

Hello, I can build a Python-based automated pricing intelligence system that collects structured data from public sources on a scheduled basis, stores historical datasets, and exposes secure API endpoints for seamless integration with your internal system. The solution will include scalable scraping pipelines, structured data processing, database storage for historical tracking, and REST APIs—deployed on AWS with reliability and long-term automation in mind (using services like EC2/Lambda, RDS, and Cloud Watch monitoring). You will receive a production-ready system that runs independently, tracks pricing changes over time, and delivers clean, integration-ready data through stable endpoints. Which data sources should be prioritized, and do you have a preferred AWS architecture (serverless vs EC2-based)? Regards, Romana Afrose B.

@Jalpanvi786

Hello there, I hope you’re doing well. I’ve read your project Senior Python Web Scraping Engineer Small Job, and I’m confident I can deliver exactly what you need. I bring over 7 years of hands-on experience working with Data Mining, Data Processing, Python, Web Scraping, and I have also completed similar projects with great results recently. You can expect timely delivery, clear communication, and work until you’re 100% satisfied. I have already started working on your project. Please award me and let me know if you have any other requirements. Best regards, Ismail

@apkblack17

As a seasoned senior Python engineer, I understand the importance of precise and reliable data collection from credible sources. My wide array of experiences in building ERP applications have honed my skills in extracting, processing, and storing large volumes of structured data efficiently. The projects I have completed in various sectors such as mining, textile, and chemical sales share a common need for real-time data analysis to optimize processes and make timely decisions. To ensure the longevity and scalability of your new pricing intelligence and monitoring system, I am well-versed in utilizing cloud services like AWS for seamless automation. My proficiency in Python enables me to write clean and efficient web scraping code necessary for collecting data from publicly available online sources on a scheduled basis. The experience I have with databases like MongoDB, MySQL and PostgreSQL would prove invaluable when it comes to managing and storing the historical datasets. Additionally, my extensive background in developing web, mobile, and desktop applications using frameworks including Django combined with knowledge of languages like PHP programming also make me aptly suited to handling the task of creating API endpoints that integrate with your internal systems. I'm eager to contribute my skills to this project that aligns so closely with what I've been doing for years. Let's ensure accurate pricing analysis and monitoring together!

@habiba8730

Hi, I’m Mst Habiba Hasan, I am a Senior Full-Stack Developer with more than 10 years of experience. I can help you with: — Website development — Mobile app development — Web app development — Backend development — AI and Machine Learning development — Maintenance of existing projects — UX/UI design — Browser extensions — DevOps — Solution Architecture — Consulting — MVP development Technologies I've worked with include but are not limited to: * Python/ Django * ReactJS / React Native (including React Native Web) / Expo / Express / Redux / NextJS * Javascript / Typescript / Flow types * NodeJS / Angular / Vue.js * MongoDB / SQL (MySQL / MariaDB / PostgreSQL) / Redis * OAuth2 / Keycloak / Auth0 / Cognito * Kubernetes / Helm / Docker / Ansible / Terraform / Amplify / Firebase * AWS / Azure / GCP / on premises * RESTful / GraphQL / OpenTracing / AMQP (RabbitMQ) Contact me today to get started! I’m excited to collaborate and bring your vision to life. Best regards, Mst Habiba Hasan

@victorl337

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I’ve built automated data intelligence systems in Python that collect structured public data on schedules, maintain historical datasets, and expose secure APIs for internal integrations. My experience includes AWS-native architectures designed for reliability and long-term unattended operation. Approach: ⭕ Build scalable data collectors (async Python, rate-limit aware, retry logic) ⭕ Store structured & historical data in PostgreSQL/S3 with versioning ⭕ Schedule jobs via AWS EventBridge / Lambda / ECS ⭕ Design RESTful API endpoints (FastAPI) with auth & monitoring ⭕ Implement logging, alerting, and failure recovery for 24/7 stability ⭕ Containerized deployment (Docker) with CI/CD pipeline ❓ What is the expected data volume and collection frequency? ❓ Do you require near real-time updates or batch-based monitoring? I can deliver a robust, production-ready pricing intelligence system optimized for AWS scalability and long-term automation. Thanks