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- Tasks: Extract product info from e-commerce sites and structure it for our Shopify store.
- Company: Join a dynamic team focused on e-commerce innovation.
- Benefits: Flexible hours, remote work, and hands-on experience in data scraping.
- Why this job: Make an impact by optimising our Shopify store with valuable data.
- Qualifications: Experience in Shopify, data entry, data scraping, and Python required.
- Other info: Contract role for 1 to 3 months with 40 hours per week.
The predicted salary is between 500 - 1500 £ per month.
We are looking for an experienced data scraper to extract product information from various e-commerce websites and compile it into a structured format for our Shopify store. The ideal candidate will have a strong understanding of web scraping techniques, as well as experience with e-commerce platforms.
You will be responsible for gathering data such as product descriptions, prices, and images. Attention to detail and the ability to work independently are essential for this role.
Contract duration of 1 to 3 months with 40 hours per week.
Mandatory skills:- Shopify
- Data Entry
- Data Scraping
- Python
E-commerce Data Scraper for Shopify Sites employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land E-commerce Data Scraper for Shopify Sites
✨Tip Number 1
Network like a pro! Reach out to people in the e-commerce and data scraping fields. Use LinkedIn or even Twitter to connect with industry professionals. You never know who might have a lead on your next gig!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous scraping projects, especially those related to Shopify. This will give potential employers a clear idea of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python and data scraping techniques. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace E-commerce Data Scraper for Shopify Sites
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with web scraping and e-commerce platforms in your application. We want to see how your skills align with what we need for the E-commerce Data Scraper role!
Be Detail-Oriented: Since attention to detail is key for this position, give us examples of how you've successfully managed data in the past. A well-structured application will show us you’re the right fit!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experience to our needs.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at FreelanceJobs
✨Know Your Tools
Make sure you’re well-versed in the tools and languages mentioned in the job description, especially Python. Brush up on your web scraping techniques and be ready to discuss specific libraries or frameworks you've used in past projects.
✨Showcase Your Experience
Prepare examples of previous e-commerce data scraping projects you've completed. Be ready to explain the challenges you faced, how you overcame them, and the results you achieved. This will demonstrate your hands-on experience and problem-solving skills.
✨Attention to Detail is Key
Since attention to detail is crucial for this role, consider bringing a sample of your work that highlights your meticulousness. Discuss how you ensure accuracy in data entry and how you handle discrepancies in scraped data.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current data scraping processes and any challenges they face. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
