Pricefx Automation Script

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Lightweight Script for Pricefx Data Uploads ❇️ Hi My Friend, I hope you're doing well. I reviewed your project requirements and see you are looking for a script to connect to your Pricefx tenant. You don’t need to look any further; Zohaib is here to help you! My team has successfully handled 50+ similar projects for data automation. I will create a lightweight script that connects through OAuth or an API token, pulls price data from an Excel file, and uploads it automatically. ➡️ Why Me? I can easily create your lightweight script for Pricefx as I have 5 years of experience in Python and Node.js scripting, focusing on data uploads and API integrations. My expertise includes working with Excel files, data mapping, and implementing logic for adjustments. Additionally, I have a strong grip on handling API credentials and documentation, ensuring smooth execution of your project. ➡️ Let's have a quick chat to discuss your project details further. I’d love to show you examples of my previous work. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ Python Programming ✅ Node.js Development ✅ API Integration ✅ Excel Data Handling ✅ Data Mapping ✅ Conditional Logic Implementation ✅ Script Optimization ✅ Source Code Documentation ✅ README Creation ✅ Pricefx Experience ✅ OAuth Authentication ✅ Data Validation Waiting for your response! Best Regards, Zohaib

@neerajdhameliya

Hello, My suggestion is to make this a configuration-driven, one-command automation rather than a hard-coded integration. That way, you can change Excel mappings, segmentation filters, and uplift rules without rewriting the core script. I can build it in Python/Node.js with OAuth/API-token authentication, Excel-to-Pricefx field mapping, and API-driven price-list create/update logic. I’ll also implement category-based SKU segmentation and transparent if/then uplift rules, keeping the logic easy to modify without rewriting the script. You’ll get clean, commented code, secure configuration, README/CLI examples, and a short hand-off walkthrough. Best, Niral

@hirujiyu

Hi there, I see you need a lightweight one-time automation script that takes your Excel pricing file, applies the required business rules, and pushes the final price lists and SKU segmentation directly into Pricefx. ⭕ What I’ll Build ✔️ Excel/XLSX price-sheet parsing and column mapping ✔️ Pricefx OAuth/API-token authentication ✔️ Create/update price lists automatically ✔️ SKU segmentation based on category rules ✔️ Configurable if/then uplift logic ✔️ Validation for missing SKUs, columns and invalid values ✔️ Clear success/error logging without exposing credentials ✔️ Reusable command-line script rather than a hosted service ⭕ A Few Questions 1. Does your Excel file contain one price list or multiple lists/segments? 2. Are the uplift rules already defined in a document/table, or should they be configurable through a simple rules file? 3. Can you provide a sample Excel file and the specific Pricefx API endpoints you want to use? ⚡ I’ll keep the script simple and maintainable so your team can run it whenever a new Excel price sheet is available without needing ongoing developer support. Thank you.

@youssefEngineer

Hi sir, Im a senior developper, i worked with many big companies, banks. I would be happy to work with u, i will just need to know more about your project and get necessary inputs, you api key, docs and data Feel free to contact me

@DeveloperStation

Hi, I've built one-time Python automation scripts that pull data, map it, and push it to third party APIs through OAuth token flows, so this workflow fits what I do daily. I completed a DevOps integration project on Freelancer with clean handoff docs, 5 stars. One question on the uplift logic: do the if/then rules ever chain (an item hitting two conditions), or is it strictly one segment, one adjustment per SKU? That changes how I structure the mapping layer and keeps the Excel column to Pricefx attribute mapping predictable when you edit rules later. I'd write it commented, ship a README with command examples, and record a short walkthrough on changing paths and credentials. Can you share a sample Excel sheet and the segment filter fields? Adil

@ShaikhAneesa

Hi there, I understand you need a lightweight, one-time Python/Node.js executable that reads your latest Excel price sheet, maps the data into Pricefx, creates or updates the relevant price lists, applies category-based segmentation, and runs your conditional uplift logic before finalizing the list. I’m confident I can keep this focused and maintainable without introducing an unnecessary always-on service. My approach would use Python, pandas/openpyxl and Pricefx REST APIs, with OAuth or API-token authentication handled securely at runtime. I’ll first map the Excel columns to the required Pricefx attributes, validate SKUs and required fields, then implement the create/update logic for the appropriate price lists. Category rules will determine the correct segment, while the uplift engine will use modular if/then rules so thresholds, categories and adjustments can be changed easily without rewriting the core script. I’ll also include validation and error handling for missing SKUs, invalid mappings, duplicate records and API failures, with clear console output so you can immediately see what was processed. Do you already have a sample Excel price sheet and the exact uplift/category rules, or should I structure those configuration points so you can provide them after kickoff? I’m ready to start immediately. Warm Regards, Aneesa.

@extreamcode

Hello, I can build a clean Python automation that authenticates to Pricefx through OAuth or an API token, validates and maps the Excel sheet, creates or updates price lists, assigns SKUs by category, and applies maintainable uplift rules before upload. I will keep credentials outside the source, add clear validation and error logging, and provide a configurable mapping/rules file so future changes do not require rewrites. Deliverables will include the executable script, commented source, README with command examples, and a hand-off call or video. To begin, I would need a sample Excel layout, the target Pricefx object/endpoints, and two or three representative uplift rules. I can deliver the first working version within 2–3 days.

@thewebscraper

With over a decade of professional experience in the software industry, I am well-versed in building applications and automating data pipelines to meet businesses' unique needs. My areas of expertise include Python, Excel, and API integrations, all of which are necessary for the successful completion of your Pricefx Automation Script project. One key point that sets me apart from other bidders is my proficiency in Amazon Web Services (AWS) - a skillset that I find crucial for seamless data ingestion, storage, and retrieval in your project. Additionally, my 70K+ images scraping accomplishment demonstrates my ability to handle complex data operations at scale. As a detail-oriented and proficient coder, I will ensure your script is well-commented and organized while providing you with clear setup instructions and command examples in the README documentation. I'm also great at explaining complex concepts concisely, so you can rest assured you'll get an effective hand-off call or video tutorial on how to manage file paths, credentials, and uplift rules post-execution. Excited to get started!

@denisSolution

Hi, This looks like a straightforward data pipeline between Excel and Pricefx, where the tricky bits are usually the mapping and the uplift rules. I’ve built similar one-off automation scripts before, often for bulk product or pricing updates, where the main work is handling the data cleanup and making sure the API calls align with the business logic. I’ve done similar integrations in the past, like the Pricefx automation work behind the scenes of a larger product platform. The script would likely be a Python CLI that uses pandas for Excel parsing, a small OAuth flow for authentication, and then batches the Pricefx API calls with retries for failed entries. The README would include a mapping table template and examples for adjusting uplift rules without touching the code. The part that usually trips people up is keeping the Excel column names consistent with Pricefx’s attribute names and handling cases where SKUs don’t exist or the uplift logic is too broad. I’d add a dry-run mode first to validate the mappings before pushing anything live. There’s also the risk of API rate limits if the Excel file is large, so chunking the uploads and adding simple backoff would be safer than one big request. Thanks, Denis.

@juanpablomacf

La parte más delicada de este script no es leer el Excel ni llamar a la API de Pricefx, sino asegurar que el mapeo de columnas, segmentos y reglas de uplift produzca exactamente el resultado esperado antes de modificar las listas de precios. Un error de mapeo podría actualizar muchos SKUs incorrectamente de una sola vez. Yo empezaría revisando un archivo Excel real y la documentación/API de tu tenant para definir claramente el mapeo entre columnas y atributos de Pricefx. Después estructuraría el script en pasos independientes: autenticación OAuth o token, lectura y validación del Excel, asignación de segmentos, aplicación de reglas if/then y creación o actualización de las price lists. También añadiría validaciones antes de subir los datos, manejo de errores de API y un resumen de los SKUs procesados, modificados o rechazados. Así, si una fila tiene datos inválidos o una llamada falla, el script no continúa silenciosamente con información incorrecta. Entregaría el código Python o Node.js comentado, README con instalación y comandos, configuración de credenciales y rutas, además de una explicación breve para modificar las reglas de uplift. ¿Pricefx ya tiene creadas las price lists y atributos que debemos actualizar, o el script también debe crearlos? ¿Las reglas de uplift vienen en el Excel o estarán definidas directamente en la configuración del script? ¿Puedes proporcionar un ejemplo del Excel y del resultado esperado para validar el mapeo? Juan Pablo

@gogora

Hi I could write a lightweight script that would parse your Excel file, authenticate to Pricefx server and uploads the data to the Pricefx. To find a common ground please answer the questions below: 1) What structure does the Excel file has? Does it have variable structure? Can you send a sample? 2) Does the Excel file contains the categories or it should be assigned by Pricefx or custom AI? 3) Are there any if/then logic in the Excel file or it would be provided? I’m happy to discuss the details over chat, and I will respond promptly. Thanks for your attention Archil

@C0RETECHIES

Hi, I see you need a script that functions as a lightweight ETL process. It will authenticate with your Pricefx tenant's API, extract raw data from the specified Excel file, transform it by mapping columns, applying category-based segmentation, and executing your conditional uplift logic, and then load the processed data to create or update the target price lists. Technical approach: A self-contained Node.js script is a great fit. We'll use a library like exceljs for robust .xlsx parsing and axios for API calls. All sensitive credentials, file paths, and column mappings will be managed in a separate configuration file (e.g., .env) so you can easily change them without touching the code. Core modules: - Auth Handler: Securely connects to the Pricefx API using the provided credentials. - Data Extractor: Reads and validates rows from the source Excel file. - Transformation Engine: Applies the segmentation filters and if/then uplift rules. - API Loader: Constructs the payload and syncs each record with Pricefx, logging the status of each upload. Implementation strategy: We'll begin by establishing the API connection. Next, we'll build the Excel parser and transformation logic, testing against a sample file. Finally, we'll integrate the API upload function and package the script with a clear README and a short video walkthrough for the handover. Regards, Rohit

@maxscender

I can help you solve this by building a single Python script that handles your entire Pricefx price-update workflow end-to-end. Here’s how I’ll approach it: - Read & Map: The script will parse your Excel sheet and use a simple, configurable mapping dictionary to align your columns with Pricefx attributes—no hardcoding, so you can adjust it easily. - Sync & Assign: It will check for existing price lists and create or update them as needed, then assign SKUs to segments based on the category filters you define. - Apply Logic: The uplift rules will be implemented as clear, editable if/then functions in a separate config section, so you can tweak the logic without touching the core code. To make sure this runs safely the first time, I’ll include a `--dry-run` flag that prints exactly what the script *would* do before it makes any changes to your tenant. Deliverables: 1. Well-commented Python source code. 2. A README covering setup, credential configuration, and command examples. 3. A short Loom video walking through how to update file paths, credentials, and uplift rules. This gives you a reliable, one-time executable tool that’s easy to maintain.

@jayantkumar314

Hi, I can build this as a lightweight Node.js script that reads the Excel price sheet, maps the required fields, applies your category and uplift rules, and then creates or updates the relevant Pricefx price lists through the API. I’ll keep the mapping and rules configurable so future Excel columns, credentials or uplift logic can be changed without rewriting the core script. I’ll also include clear error handling, comments, setup instructions and example commands in the README. Once you share the Pricefx API documentation and a sample Excel file, I can start with the authentication and data-mapping flow first.

@emilesd617

Hi, I am an automation and API integration developer with 8 years of rich experience in software development, with a background in pricing workflows, Excel processing, REST APIs, and business automation. I am familiar with Python, Node.js, OAuth, Excel data mapping, Pricefx APIs, SKU segmentation, and rule-based pricing logic. I understand you need a simple one-time script that reads the latest Excel pricing file, maps the columns into Pricefx, creates or updates the correct price lists, assigns SKUs by category, and applies configurable uplift rules before upload. I can keep the script clean and easy to adjust later for credentials, file paths, mappings, and pricing conditions. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Thanks. Emile.

@krupnovdenis

Hello! We can build a one-time script for your Pricefx automation task. 1. Do you already have a sample Excel file and Pricefx field mapping? 2. How should the uplift rules be applied for each category? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@MikhailKrg

I can develop this as a lightweight Python automation script with a clear separation between Excel processing, business rules and Pricefx API communication. My background is primarily in trading software development, where I have over 8 years of programming experience, including automation, data processing and API integrations. I am currently expanding my Python/API development work, and this project is a good match for that skill set. I would implement: • Excel reading and column-to-Pricefx attribute mapping; • SKU segmentation using configurable category rules; • configurable if/then uplift logic; • Pricefx authentication and API communication; • creation/update of price lists; • validation, error handling and logging; • configuration separated from the main code for easy modification. I would use Python, most likely with pandas/openpyxl and requests/httpx. I have not worked specifically with Pricefx before, so I would need access to your API documentation and preferably a sample Excel file before finalizing the implementation. Clean source code and a setup README will be included. Mike

@durgesh8527

As a full-stack developer with hands-on experience in JavaScript, Node.js, and Python, I am seasoned at building automation scripts that align with your exact needs. My expertise in using OAuth and API tokens to interact with various platforms, including Pricefx, makes me an ideal choice for this project. I code clean, efficient, and well-commented scripts that not only provide the solution you're seeking but are easily understandable and maintainable. My proficiency in dealing with Excel data processing ensures I can seamlessly pull and map price data from the Excel file to the relevant Pricefx attributes. Additionally, I'm adept at incorporating complex logic into scripts seamlessly; hence, applying uplifts to your items based on category-based filters won't be a challenge. In terms of delivery, you can expect not just the script but also a comprehensive README file that provides clear instructions on setup and usage. Moreover, in our hand-off call or video, I will guide you step-by-step on how to update file paths, credentials, and uplift rules if required. Rest assured, by choosing me for this task, you're selecting someone who values communication, timeliness, efficiency, and transparency throughout the entire project lifecycle. Let's leverage technology to make your processes smoother.

@shayankhan333

Hi, I can build a one-time Python script that connects to your Pricefx tenant via OAuth or API token, reads the latest Excel sheet, maps columns to Pricefx attributes, and creates or updates price lists with SKU segmentation and if/then uplift logic. I can start today. I will keep the uplift rules and credentials in a simple config file so you can edit them without touching the code. Questions: 1) Python or Node.js preferred? 2) Roughly how many SKUs per run? Looking forward to discussing further. Regards, Shayan.