Extract Shopify Orders on daily schedule into Google Sheets

23.0 GBP

23.0 GBP peopleperhour Technology & Programming Overseas
214 days ago

Description

We are seeking a skilled professional to assist me with extracting order information from our clients' Shopify stores into Google Sheets on a daily schedule.
The ideal candidate will have experience in accessing and extracting data from the Shopify API (such as through the order.json file or similar methods) and outputting it in Google Sheets. We anticipate that this task could be automated using a Google Apps Script or a similar solution, but we are open to other methods as long as they reliably achieve the desired results.
Responsibilities
- Extract order data from multiple Shopify stores on a daily basis.- Utilise the Shopify API (order.json file or similar methods) to access the necessary order information.- Automate the data extraction process, preferably using Google Apps Script or a similar tool, to update Google Sheets daily.- Ensure that all required data columns are accurately transferred to Google Sheets. The columns needed are attached in the provided image.- Troubleshoot any issues in the data extraction process and ensure accuracy and consistency of data.
Qualifications
- Experience working with the Shopify API, particularly with order.json or similar data access methods.- Strong understanding of Google Sheets and experience in automating data extraction, preferably through Google Apps Script.- Ability to work independently and troubleshoot any issues with data extraction or automation.- Familiarity with data organisation, ensuring all required columns are consistently populated and formatted.
Price is placeholder. Immediate start. Please send your proposals

关注公众号,不定期副业成功案例分享
Follow WeChat

Success story sharing

Want to stay one step ahead of the latest teleworks?

Subscribe Now

Similar Teleworks

Shopify Product Upload Brief Objective: To bulk upload a full product range to our existing Shopify store using the attached Excel spreadsheet. This includes uploading product data, images, and applying SEO-friendly titles. 1. Product Data Upload Method: Bulk import using Shopify's CSV format. Source File: Attached spreadsheet titled: Attributes - All Product PLB - October 2024.xlsx Main sheet: ATTRIBUTES- October2024 Key Fields to Include in the Upload: Product Title: Use the DESIGN column and ensure it's SEO friendly (e.g. "Abstract Burst Grey Rug – Melrose Interiors") SKU: Use Melrose Stock Code Vendor: Brand Type: Use COLLECTION or Construction Price: Use RRP as the retail price Compare at price: Optional, use Customer Price Valid until 31-12-24 if applicable Description: Use the Description column Material, Construction, Origin, Backing, Pile Height: To be added to the product description or as metafields if available Tags: Include Indoor/Outdoor, Anti-Slip Advised?, and other relevant attributes 2. Image Upload Image Requirements: Each product must include at least one image. Freelancer to locate and assign the correct image for each SKU. If images are not yet uploaded to Shopify, they must be uploaded and matched by Melrose Stock Code. Images to be named clearly using SKU or DESIGN names. Note: Let us know if you need access to image files or if these should be sourced from a shared folder or Dropbox link. 3. SEO Titles & Meta Descriptions Titles: Pull from the DESIGN and COLLECTION columns. Optimise with keywords such as “rug”, “interior”, “contemporary” etc. Meta Descriptions: If Shopify allows, use the first sentence or two from the Description column, with light editing for readability and keyword inclusion. 4. Additional Notes All products marked as Website Current in the STATUS column are to be uploaded Variants (e.g. same design with different sizes) can be grouped where relevant using Shopify’s variant system Pile height and backing information should be visible to the customer Deliverables Products uploaded and visible in the Shopify backend Image files properly matched and uploaded One test product submitted for review before batch upload SEO fields completed Confirmation upon completion
150.0 GBP Technology & Programming peopleperhour Overseas
2 days ago