Daily E-commerce Data Scraper for S3

@Zahi9

Hi! I can build the daily e-commerce scraper you need, delivering both text and image data straight into your Amazon S3 bucket. My plan: a robust Python scraper (Scrapy/Playwright) that fetches the required fields from each site, handles pagination, dynamic JS-rendered pages, retries and rate-limiting so it stays reliable, then uploads structured data (JSON/CSV) plus images to S3 in a clean, dated folder structure via boto3. I'll schedule it to run automatically each day (cron or AWS Lambda/EventBridge), add logging and error alerts, and make the target sites and fields easy to configure. I'll build it to respect each site's limits. Could you share the sites, the exact fields you need, and your preferred S3 layout? Best regards, Zahidul

@webframetech

As a seasoned developer with over 10 years of experience, I excel in delivering precise, efficient, and scalable solutions for various platforms. My proficiency transcends WordPress, WooCommerce, Magento, Shopify to Python - a language that will prove essential for your e-commerce data scraping project. I have vast experience in web scraping and data extraction, making use of tools like Scrapy, Requests, BeautifulSoup as mentioned in your requirements. Therefore, my skills align perfectly with the technical part of the job. Additionally, I boast an all-round knowledge in PHP and domains including backend development and third-party API integration required to add more e-commerce domains to the system. This cross-functional capability positions me as an ideal candidate to develop a scrapers system – one that can handle dynamic pages without compromising on scalability or security especially against "(detecting) anti-bot measures." To further prove my suitability for this task, I'll leverage my mastery of containers (Docker/Kubernetes) for easy deployment and management of the scrapers. Alongside effective use of cron jobs or other scheduling mechanisms for seamless daily operation in line with your acceptance criteria. I look forward to partnering with you on this project to implement your envisioned automated data-flow!

@denisSolution

Hi, I'm Denis, a full-stack developer who's built several large-scale data pipelines pulling product catalogs into cloud storage. I understand the goal—a reliable daily scrape that lands clean data and images into S3 with minimal manual intervention. The core challenge is building something resilient as site structures shift while handling volume reliably. I've worked on similar systems where pagination, rate limiting, and image downloads work together smoothly and stay maintainable. I'd build this in Python using Scrapy for the scraper framework and boto3 for S3 uploads. Scrapy handles concurrency, retries, and rate limiting elegantly—essential for daily large-volume pulls. For dynamic content or anti-bot measures, I can add Selenium or Playwright as fallback. Images get organized by date and site, with text data compressed to Parquet for efficient storage. The approach: - Requirements review to map target sites and HTML structures - Build core scraper with S3 integration, error handling, and retry logic - Set up CloudWatch Events or Lambda for daily triggers - Create manifest logs tracking record counts, failed URLs, and bytes transferred - Validate against your first site, then document the pattern for easy domain additions Two key considerations: e-commerce sites change structure without warning, so I'd build the scraper modularly so selector updates don't require full redeployment. Second, depending on image volume, we might batch uploads or adjust concurrency to ma

@hirenksanghvi

Hello, Greetings from Syndell! We understand you need a daily, large-scale data pipeline that pulls product information and images from multiple e-commerce sites directly into your S3 bucket, with reliable scheduling and automatic handling of pagination and rate limits. Syndell builds exactly this kind of containerized, resilient scraping infrastructure. Our team has deep experience with Python, Scrapy, and AWS-native solutions, structured for simple redeployment and operational clarity. Before we dive deeper, can you clarify whether you're targeting specific platforms, and whether you prefer the scraper to run on your own infrastructure or fully on AWS? We are 5-star reviewed on Clutch and GoodFirms and among the top-rated agencies for our services on Freelancer.com. We are eager to learn more about your goals and, once engaged, will promptly showcase our most relevant work. Looking forward to connecting. Thanks! PS: The final time and cost may be subject to change based on our discussion.

@muskaannadaf

Hello, I'm Asma, Web Developer and Graphic Designer with 10 years of experience working with clients and agencies from around the world. Creative problem solver with a passion for creating visually appealing and user-friendly digital solutions. I love building luxurious brands and designing captivating visual identities. I've worked with clients in lifestyle, property, fashion, hospitality, and luxury sectors. 24/7 Support & Faster Response . #WEBSITE DESIGNING / DEVELOPMENT #WORDPRESS/HTML/JS/CSS/PHP/LARAVEL/SHOPIFY #GRAPHIC DESIGNING #UX/UI #FIGMA #SQUARESPACE #SOCIAL MEDIA MARKETING #PHOTOSHOP/ILLUSTRATOR #GOOGLE ADS #JEWELERY DESIGNER #LOGO DESIGN #BANNER DESIGN #BUSINESS CARD #STATIONARY DESIGN #CD COVER #POWERPOINT PRESENTATION #BOOK COVER #LETTERHEAD DESIGN #3D LOGO #WORDPRESS #WEBSITE PAGE SPEED UP UPTO 95-99 #WEBSITE SEO #FIGMA TO WORDPRESS/HTML/JS/CSS/PHP/LARAVEL #PSD TO WORDPRESS/HTML/JS/CSS/PHP/LARAVEL ...... ETC :)

@DedicatedVA

The requested workflow is feasible as a scoped pilot: a Python scraper for one approved e-commerce site, structured JSON or Parquet output, image uploads to S3, organized paths, retry handling, manifests, scheduling, and deployment documentation. Before implementation, the target domain, daily product volume, JavaScript requirements, image volume, and S3 access method need to be confirmed. For security, access should use a restricted IAM user or role rather than shared credentials. The posted £10–£11 budget does not cover a reliable build and one-week validation; a single-site pilot should be scoped and funded separately before expanding to additional domains.

@AndrewJSMAN

I've built scheduled scrapers for e-commerce sites before, handling pagination, rate limits, and dynamic content, so this is right in my wheelhouse. I'll use Python with Scrapy and Requests, containerize it with Docker, and deploy it via AWS Lambda or ECS with CloudWatch Events for scheduling. The scraper will save text data as compressed JSON and images to S3 with the specified path structure, including a manifest file. Error handling will include retries with exponential backoff and a summary log. I can start immediately. Thanks, Andrii.

@PINESCRIPTERR

Hi, I understand you need a reliable daily scraping pipeline that collects large volumes of product text and images from multiple e-commerce sites and delivers everything into your existing Amazon S3 bucket in an organised, repeatable structure. I can build this in Python using Scrapy/Requests with BeautifulSoup or Playwright where JavaScript-rendered pages require it, containerised with Docker for easy deployment. The pipeline can handle pagination, retries, concurrency controls, rate limiting, structured extraction, image downloading and S3 uploads, while keeping site-specific parsers separated so new domains can be added without rewriting the core system. Text data can be stored as compressed JSON or Parquet, with images organised by date, site and SKU as requested. I’ll also implement resumable/error-aware processing so individual failed URLs do not stop the entire daily job. Each run will generate a manifest containing record counts, failures and image transfer statistics and upload it to S3. For permitted sites, I can also handle dynamic rendering and large image payloads efficiently, while respecting applicable access restrictions and site policies. The final delivery will include the container/script, configuration, README and instructions for adding additional domains. Best regards, Houssame

@arslanshahid386

Hi, I see you need a robust solution for daily scraping of text and image data from multiple e-commerce sites, with seamless integration into your Amazon S3 bucket. I specialize in PHP and Python, both of which are ideal for building efficient, scalable scrapers that can handle large-scale data pulls. Using Python's BeautifulSoup or Scrapy, we can ensure precise data extraction, while leveraging PHP for any server-side logic you require. Additionally, setting up a cron job or using AWS CloudWatch Events will automate the daily process, ensuring timely updates without manual intervention. Could you share more about the specific e-commerce platforms you're targeting, so I can assess any unique challenges they might present?

@billybryan98

Hello there. I hope you are donig well. I have successfully built and deployed web scraping solutions for various e-commerce platforms, ensuring reliable data extraction even from dynamic pages and those with anti-bot measures. My expertise in Python, particularly with Scrapy and BeautifulSoup, enables me to create robust scrapers that efficiently handle pagination and data complexities. I understand the need for a scheduled scraping solution that captures essential product data and images while maintaining a clean structure in your S3 bucket. I will implement a pipeline that automates this process, handles potential errors with retry logic, and generates a log file to keep track of daily operations. I will deliver a high-quality, fully functional scraper, complete with clear documentation for adding additional domains. My focus will be on stability and performance, ensuring the solution runs smoothly over the week to meet your acceptance criteria and exceed your expectations. Please feel free to reach out to me. I look forward to working with you. Best regards, Billy Bryan

@Sv3nie

Hi, The tricky bit here is rate limits and pages changing shape, I handle that with retries and per-site parsers. Python scrapers alongside my full-stack work fit this well. Lets get in contact first.

@rosscarter1011

Hey, grabbing daily product text and high-res image batches straight into S3 needs careful handling so rate limits don't block the runs halfway through. I'd set this up using Python with Scrapy running inside a lightweight Docker container, pushing compressed JSON alongside the organized image paths every morning. Handling pagination smoothly while rotating proxies for the anti-bot checks is usually the main hurdle with daily e-commerce pulls. Which specific target sites are we starting with on day one?

@gianniszagoritis

Hi, I can build a reliable Python-based scraping system to collect product data and images from e-commerce websites and upload them directly to your Amazon S3 bucket. I’ll implement: • Product data and image scraping, including pagination and dynamic content. • Compressed JSON/Parquet exports and organised S3 image storage. • Retry logic, error handling, and scheduled daily execution. • Run manifests tracking records, failed URLs, and image sizes. • Docker deployment and clear documentation for adding new domains. I’ll start with one target site, validate the complete workflow, and ensure reliable daily operation. I’m happy to discuss your target websites and technical requirements.

@brayanstiven5

✨✨Hi, I targeted a site locked by Cloudflare. Instead of heavy browsers, I used curl_cffi to mimic Chrome and scraped their hidden API via residential proxies. It extracted 500k products daily instantly, saving $3,000 monthly in cloud compute. I can build this end-to-end with Python, Scrapy, Docker, AWS S3, and CloudWatch/EventBridge. I’ll implement retries, pagination, rate limiting, image downloads, compressed JSON/Parquet, and S3 manifests. The architecture will be modular for adding new e-commerce sites easily. I’ll also provide clear documentation and daily manifests. Happy to start with one site and make it easy to expand.

@Sachin24682

As an experienced Full-Stack Developer with a focus on PHP, Laravel, and CodeIgniter, I'm confident in my ability to meet and exceed your scraping needs. Being well-versed in backend development and API integration, I am capable of building a robust and efficient system for your daily e-commerce data scraping project. My proficiency in HTML, CSS, JavaScript, jQuery and Vue.js further ensures an appealing user interface. In regards to your specific requirements, leveraging my strong command of PHP alongside Scrapy, Requests and BeautifulSoup, we will develop a Python-based container-friendly system perfectly suited for Amazon S3 delivery. My proficiency in Docker will simplify the deployment process. I am also well-acquainted with handling dynamic pages effectively and evading anti-bot measures. Furthermore, my 7+ years of experience include developing large-scale custom web applications like yours. I have encountered and overcome various challenges such as rate limits and site changes affecting web scraping projects similar to yours. Lastly, my meticulousness in database management guarantees that your textual data will be delivered seamlessly structured while images will be organized neatly by date and site name for easy access. I look forward to exceeding your expectations with a successful proof of concept within one week!

@TechWagger2026

As an experienced full-stack developer with a demonstrated expertise in web scraping and API development, I am well-equipped to handle your e-commerce data extraction project. Over the course of my 14-year career, I have successfully built numerous similar pipelines, making me comfortable with various tools such as Scrapy, BeautifulSoup and Requests - all stack you require. This project requires not only scraping the required data but also handling dynamic pages, anti-bot measures, and large data payloads; all within tight schedule --I believe we can achieve this together. I understand the importance of visualizing your scraped data efficiently for seamless queries and analytics. That's why I propose saving the scraped text files as JSON or Parquet, compressed for easy storage and retrieval while managing images in a key-organised path. For extra convenience, I can implement a summary log file pushed to S3 that provides crucial information on record counts, failed URLs and total image bytes on a daily basis. Moreover, having worked extensively with AWS including S3, Lambda and CloudWatch Events alongside containerization technologies such as Docker for re-deployability -- your project aligns well with my skillsets. And let's not forget my commitment to quality delivery by ensuring a one-week stability run before sign-off - your satisfaction guaranteed. Let's start building this innovative and powerful system for you today!

@lazarr4

Hello, I can build a scalable scraper using Python and AWS Lambda to handle dynamic pages and large image payloads while keeping costs low. I’ve built a similar system for a client that pulled product data from 10 e-commerce sites daily—used Scrapy with proxy rotation to avoid blocks and stored results in S3 with automated compression. I’d approach this using a serverless architecture with Lambda for scraping and S3 for storage, because it scales automatically and avoids managing servers. The biggest improvement will come from handling anti-bot measures with rotating proxies and incremental updates to avoid reprocessing unchanged data. Proper setup will reduce your storage costs by compressing JSON files and organizing images by date, making future analysis easier. I’ll include a README with setup steps and error handling for failed requests, plus a daily log file with success/failure counts. Once the project is complete, I’ll help you test the scraper against a few sites and adjust the schedule before going live. If this sounds like a good fit, I’d be happy to discuss the details further. Thanks, Lazar.

@MSaadJaved

Hi, I’ll build a container-friendly daily e-commerce pipeline that scrapes product text and images, handles pagination/rate limits, and writes compressed JSON/Parquet plus organized image paths into your S3 bucket. The main technical concern here is site structure changes and anti-bot controls, so I’ll use resilient selectors, retries, and clear failure logging. I recently built a Scrapy-based extractor for a catalog site that normalized product records, downloaded media assets, and pushed manifests to cloud storage. For your project, I’d begin with one target domain, validate the S3 upload flow end to end, then expand the scraper framework so additional sites can be added cleanly with minimal changes. Which e-commerce domains should be treated as the first target for validation? Best regards, NexLoom

@avijitdey239

With my extensive background in web scraping and data processing, I am confident in providing you with a reliable and efficient system to scrape data from multiple e-commerce sites on a daily basis. Over the past 9 years, I have honed my skills in Python-based scraping tools like Scrapy, Requests, and BeautifulSoup which aligns perfectly with your requirements. Specifically, I'm comfortable dealing with dynamic pages, anti-bot measures, rate limits - all challenges that come along with large-scale text and image scraping. In addition to my technical expertise, my approach to data collection revolves around delivering high-quality and accurate results. This aligns directly with your need for clean, reliable data to drive your business forward. I also pride myself on a quick turnaround time whilst maintaining clear communication and strong attention to detail. You can trust that I will provide you not only with the scraped data but also necessary documentation such as the README file for easy site addition. In summary, by choosing me for this project, you are getting a seasoned professional capable of handling complex scraping tasks of any size while assuring you of accurate and actionable data every time. Let's work together to build an efficient system that will feed into your Amazon S3 bucket flawlessly!