developer gezocht – dagelijkse XML product-feed van Picnic app bouwen (met toestemming, doorlopend €50/maand)

@A2Design

Hello, We understand that you need a developer to create a daily automated XML product feed from the Picnic app, ensuring compliance with your specified parameters. Our expertise in building data-driven solutions aligns well with your requirements. We can develop a clean and efficient XML feed, featuring all mandatory fields while adhering to rate limits and data maintenance protocols. At A2 Design, we have experience in creating scalable platforms, such as the MadPaws marketplace, which efficiently handles high user interactions. For reference, you can view our work here: madpaws.com.au. Additionally, our experience with API integrations positions us well to handle any needed reverse-engineering of endpoints to ensure robust data extraction. Let’s discuss how we can bring your vision to life. Reach out to explore the next steps!

@Julian29

Hello, I read your requirements carefully and understand the full scope of the project. I have 10+ years of experience in Python development, API integrations, and automation, and I have previously built daily automated product feeds and retail data pipelines using both official APIs and reverse-engineered endpoints. I will provide 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PUBLISHING ON STORIES. For your project: I will build a Python script that fetches product data daily via the python-picnic-api (or, if necessary, reverse-engineered endpoints) with proper rate-limiting, retry logic, logging, and temporary data cleanup. Output will be a clean, structured XML feed (RSS/Atom-compatible or custom <product> elements) hosted on a reliable platform such as AWS S3 or a lightweight FastAPI endpoint. A short documentation will be included: account setup, monitoring, restart procedure, and optional failure notifications. Timeline & Maintenance: Phase 1 (development + testing) can be completed in 5–7 days, and I am happy to enter the ongoing maintenance agreement once the feed is stable. I eagerly await your positive response.

@Apurva510

Hello, Having worked extensively with Python, API reverse-engineering and automation over the past 5+ years, I believe I'm an ideal fit for your project. I have a strong understanding of XML formatting and have previously built automated data feeds from mobile apps, including retail/supermarket applications. While I haven't specifically used the python-picnic-api library, I have used similar wrappers in the past and can quickly adapt to new environments as needed. I am well-versed in creating and using dedicated accounts for such purposes. In terms of hosting solutions, my suggestion would be AWS S3 with a publicly accessible link; it provides security, reliability, and accessibility. As for the timeline, given my experience in similar projects, I anticipate that phase 1 (development + testing) can be completed within 2-3 weeks. I want to discuss your project more to finalize it to start work ASAP. I am looking forward to your positive response. And I wish to work with you. Thanks and Regards

@codefusion53

Hi, I understand you need a daily XML product feed from the Picnic app that stays within the allowed limits and outputs clean, structured data including SKU, title, image URLs, category, availability, and supplier info. The feed should run once per day, handle errors gracefully, and provide a reliable endpoint or downloadable file. My approach would be to develop a Python script using the python-picnic-api wrapper or, if needed, reverse-engineer endpoints safely via an emulator. I will implement rate-limiting, retry logic, logging, and cleanup routines to comply with permissions. The XML output will be RSS/Atom compatible or custom with clear <product> elements. Hosting can be set up on AWS S3 or a lightweight Flask/FastAPI endpoint with optional notifications on failure. Before delivery, I will thoroughly test the feed over multiple runs, validate XML structure, and provide documentation for setup, monitoring, and restarting the script. Best, Justin

@muneeb6767

I’ve built Python automation pipelines and API-based data feeds (scheduled scrapers, XML/JSON exports, rate-limited collectors) and can implement a daily Picnic product feed with clean XML output, retry logic, logging, and stable hosting. Phase-1 delivery can be completed in ~7–10 days, and I’m comfortable maintaining the feed monthly.

@mayankinnovative

Hi, As per my understanding: You need a Python-based automated system that extracts permitted product data (max 5,000 items) from Picnic and generates a clean daily XML feed. The feed must include fields like SKU, title, image URL, product type, category hierarchy, availability, supplier info, and optional fields like price or promotion. It must run once per day, respect rate limits, and only collect public product data while ensuring temporary data cleanup and stable hosting of the XML output. Implementation approach: I will build a Python script using the python-picnic-api wrapper if it is stable; otherwise I will safely identify required endpoints via network analysis. The script will implement authentication using a dedicated account, structured product extraction, XML generation, and strict rate-limiting (2–4 sec delay + jitter). Robust error handling, retries, and logging will be added. A scheduler (cron or cloud task) will run the script nightly. The XML feed will be hosted via a reliable endpoint (AWS S3 or lightweight FastAPI service). I will also include monitoring and optional failure notifications. A few quick questions: Do you prefer AWS S3, VPS, or API endpoint hosting for the XML feed? Should the XML follow RSS/Atom format or a custom <product> schema? Do you already have preferred category mapping rules? Is email notification sufficient for failure alerts? What is your expected timeline for Phase 1 delivery?

@Zawiya3

With over a decade of experience in Python, API, and Automation, I believe I am the perfect fit for your project. As a seasoned developer, I have worked on various automation projects including data feeds from retail/supermarket apps. Regarding forecast and maintenance, I have had prior long term commitments with my clients proving that I am up for your 'Fase 2' as well. While your preferred Python-Picnic-API wrapper is current, it may not be stable. My solution to this will be to reverse engineer the required endpoints via network traffic using tools like mitmproxy to ensure consistent data flow. This approach has held up well in keeping me updated on even the most modern systems like your project scope. Regarding hosting the XML feed, I would suggest AWS S3 with a public link. It grants the reliability and accessibility a project of this gravity requires. My estimated timeline for 'Fase 1' (development + testing), given my skillset and past experiences, is 2-3 weeks during which you will receive daily XML outputs along with comprehensive documentation explaining every step taken.I look forward to implementing my skills and working on phase 1 of this project! Upon completion, I assure you Moreover, my deep knowledge in C++, Python, and C gives me an edge when it comes to dealing with bug issues in complex systems that might come up during coding or unforeseen circumstances.

@Vikasv8

With six years of experience as a full-stack developer, I possess the skills and expertise to tackle your project with great success. I have in-depth knowledge of Python, API-reverse engineering, and automation - vital components for creating a robust, daily automated data feed. In particular, my experience working with a variety of APIs, such as the Picnic API wrapper you mentioned, ensures that I'll be able to quickly adapt to and implement any necessary endpoints for this task. Authenticating for my own account won't pose a challenge to completing your project; I pride myself on being thorough and working proactively. I ensure that all of my tools and accounts are up-to-date, stable, and carefully managed. To address your question about hosting solutions for the XML feed, I recommend using a reliable outlet like cloud services or an appropriate server based on your organization's specific needs. Taking into account the scope of your requirements and my professional aptitude in Python programming, I anticipate that Phase 1 won't take longer than two weeks to fulfill adequately. Additionally, I'm more than willing to negotiate maintenance agreements after reaching stability; providing long-term support is part of my commitment to ensuring client satisfaction. Lastly, you can get a better sense of my work by checking my relevant portfolio items and past projects. Consider me for this job – together we can create a superb daily XML product-feed solution!

@stadnichuk

Hey there, Is there written confirmation from Picnic that automated API access via wrapper or inspected endpoints is allowed? Also, will the feed be consumed by a third party system that requires strict RSS schema validation? I have built daily automated product feeds from retail platforms using Python with rate limiting, retry logic, and structured XML output. Normally I design a clean extractor layer, a transformer that maps to a stable XML schema, and a scheduler with logging and failure alerts. I focus on idempotent runs, controlled request pacing with jitter, and clean data storage that clears temp data after each cycle. For hosting, I would suggest a small VPS or AWS S3 with scheduled Lambda, depending on budget and access needs. Authentication would be handled via secure token storage and environment variables. I am open to long term maintenance once stable. Looking forward to discussing more on chat Best, Kosta

@amadorjay

Hello, I will develop a reliable daily XML feed for your product data extraction. This will leverage the Picnic API or reverse-engineered endpoints for data collection. I have built similar automated data feeds for retail applications, ensuring compliance with rate limits and data integrity. My experience includes working with Python and API integrations. **Solution Approach:** - Utilize the `python-picnic-api` wrapper for seamless access. - Implement robust rate limiting (2-4 seconds delay + jitter) for compliance. - Design XML output with required fields: SKU, title, image URL, product type, category, availability, and supplier info. - Ensure data is cleaned after each run, adhering to the 30-day deletion policy. - Host the XML feed on AWS S3 for reliable access. - Include error handling, retry logic, and logging for monitoring. **Questions:** - What specific hosting solution do you prefer for the XML feed? - How do you plan to handle authentication for the Picnic account? - What are your expectations for scalability beyond 5,000 products? I’m ready to start immediately and ensure a stable solution. Let’s discuss further.

@mindmagic1

Hallo, Ik kan een geautomatiseerde dagelijkse XML-feed bouwen vanuit het Picnic-platform met Python. De oplossing respecteert alle limieten (maximaal 5000 producten, alleen openbare data) en levert een overzichtelijke, gestructureerde XML (RSS/Atom-compatibel of <product>-gebaseerd) met alle vereiste velden: SKU, titel, afbeeldings-URL, producttype, categoriehiërarchie, beschikbaarheid, leveranciersinformatie, prijs, promotie en tijdstempel van de laatste update. De feed wordt geïmplementeerd met python-picnic-api waar dit stabiel is; indien nodig kan ik endpoints reverse-engineeren via een beveiligde Android-emulator. Ik zorg voor robuuste rate-limiting, herhaalpogingen, logging en opschoning na elke run. De hosting vindt plaats via AWS S3 met een openbaar toegankelijke link, of optioneel via een FastAPI-endpoint met authenticatie. Optionele e-mailmelding bij een fout kan worden toegevoegd. De te leveren resultaten omvatten het volledig werkende Python-script, de dagelijkse XML-output (voorbeeldbestand + live endpoint), installatiedocumentatie en instructies voor monitoring/herstart. Ik sta open voor doorlopend onderhoud (€50/maand) zodra de feed betrouwbaar werkt.

@nevenac888

Hi, ik kan een robuuste dagelijkse XML product-feed voor Picnic bouwen die netjes binnen de toegestane grenzen blijft, inclusief hosting en monitoring. Here's How: - Confirm scope, velden en XML-structuur (RSS/Atom of custom). - Build extractor in Python met python-picnic-api; anders endpoints via mitmproxy/HTTP Toolkit en stabiele client. - Test rate-limiting met jitter, retries, logging, en opschonen van tijdelijke data na elke run. - Deliver live feed-link, voorbeeld XML, en korte documentatie met herstart en monitoring. Ik heb ervaring met Python-automatisering, API-wrappers, reverse-engineering van mobiele app verkeer en het genereren van XML-feeds op Upwork, en je krijgt een stabiele feed die dagelijks consistent draait met duidelijke foutmeldingen. Antwoorden: 1 Ja, vergelijkbare dagelijkse feeds. 2 Ja, wrappers gebruikt; ik verifieer stabiliteit direct en fallback naar endpoints. 3 Ik maak een eigen account aan en gebruik veilige token-opslag. 4 Voorstel: AWS S3 publieke link of kleine VPS met FastAPI en auth. 5 Fase 1: zeven dagen. 6 Ja, onderhoud voor vijftig euro per maand is prima. Review: https://www.freelancer.com/u/nevenac888 Laten we de details bespreken. Ik kan direct starten.

@iuram1

Hello, I'm very interested in your project, which combines Python automation, controlled data extraction, and reliable daily feed delivery. I've developed a Python automation system that collects structured product data from API and app-based sources, transforms it into XML/JSON feeds, and deploys them to a booking environment with logging and retry logic. In response to your question: Yes, I have experience building booking data feeds and automation workflows from app/API sources. You can leverage existing wrappers first, and if necessary, analyze endpoints securely and with minimal effort for a stable implementation. You can create a dedicated account for your project, authenticate, and securely manage credentials through environment variables. Depending on how your wrapper will perform in production, we recommend using a small cloud VPS or lightweight cloud functions and storage. Phase 1: Testing included. This will take approximately 5-7 days. After stabilization, we'll also consider a simple maintenance contract. I'm confident that my experience and technical skills will allow me to successfully complete your project. I'm happy to demonstrate my capabilities through a simple, free trial if needed. Please feel free to contact me anytime. I look forward to working with you.

@SkillCrafts

Having built several high-performance scrapers for Dutch retail platforms, I understand the technical nuances of extracting data from closed-loop apps like Picnic while strictly adhering to rate limits. My experience involves reverse-engineering private mobile APIs to ensure long-term data integrity, and I can set up a robust, daily automated pipeline that delivers the precise XML structure your system requires for seamless integration. I have handled similar recurring data synchronization tasks for inventory management where reliability is the top priority, ensuring the feed remains stable even when the source app undergoes periodic UI or API updates. To maintain this for the long term within the specified constraints, I will implement a Python-based extraction script utilizing a headless browser or direct API interception to bypass front-end bottlenecks. The data will be parsed and mapped into a structured XML format using the lxml library for high performance, and I will host the script via a scheduled GitHub Action or a Dockerized cron job to guarantee the once-per-day execution frequency. This setup includes automated validation logic to ensure price and stock fields are correctly formatted before the XML is published, along with error logging and notification triggers to ensure any source changes are addressed immediately without significant downtime. Does the XML schema need to follow a specific standard like Google Merchant Center, or do you have a custom mapping for your internal backend? Also, would you prefer the file to be uploaded directly to an SFTP server or served via a secured static URL for your system to pull? I am available to jump on a quick call or chat here to finalize the specific data fields you need, such as EAN codes, category hierarchies, or promotional pricing, and I can have the first production-ready test feed delivered for your review within 48 hours.

@billybryan98

Hallo, Ik ben een onafhankelijke Python-ontwikkelaar met ruim ervaring in API-integraties, data-extractie en geautomatiseerde feed-processen. Mijn focus ligt op betrouwbare, schaalbare oplossingen die dagelijks draaien en duidelijke XML-output leveren zonder overlast te veroorzaken voor de brondata. In vorige projecten heb ik soortgelijke dagelijkse feed-pijplijnen opgezet voor retail/measurements-omgevingen, waar ik met Python werkte, API-wrappers gebruikte of endpoints betrouwbaar reverse-engineerde waar nodig. De oplossing levert gestructureerde XML (RSS/Atom-compatibel of custom met product-elementen), met verplichte velden zoals SKU, titel, foto, producttype, categorie, beschikbaarheid en leverancier-informatie. Er is robuuste foutafhandeling, rate-limiting, logging en na elke run wordt data opgeschoond. Ik kan dit realiseren op basis van mijn ervaring en de voorgestelde aanpak. Levering omvat een volledig werkend Python-script, een dagelijkse XML-output (voorbeeldbestand + live endpoint), en korte documentatie. Best regards, Billy Bryan

@jesica46

Hello, I hope you’re having a great day. I reviewed your project and I would be happy to assist you with your Data Analysis needs. As a professional data analyst, my goal is to transform raw data into clear and meaningful insights that help clients understand their data and make better, data-driven decisions. I can help you clean and organize raw or unstructured data, perform accurate and detailed analysis, identify trends and patterns, and create professional charts, graphs, and dashboards. I will also provide a clear, well-structured report with actionable insights so that the results are easy to understand and useful for decision-making. I have experience working with tools such as Microsoft Excel, Google Sheets, Python, and Power BI, which allow me to analyze data efficiently and present the results in a professional and easy-to-understand format. I always focus on delivering high-quality and accurate work, maintaining clear communication with clients, ensuring fast and on-time delivery, and providing complete client satisfaction. I would love to learn more about your project. Could you please share the dataset and let me know what type of analysis or insights you are looking for? Once I review the details, I can start working immediately and deliver the results as quickly and accurately as possible. Thank you for your time and consideration. I look forward to working with you. Best regards,