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- Tasks: Scrape and extract data from public databases using advanced tools.
- Company: Join a dynamic team focused on data-driven solutions.
- Benefits: Flexible hours, competitive pay, and short-term contract.
- Why this job: Perfect for tech-savvy individuals looking to make an impact quickly.
- Qualifications: Experience in data scraping and a strong attention to detail.
- Other info: Contract lasts less than a month, ideal for students or freelancers.
The predicted salary is between 500 - 1500 £ per month.
We are seeking a skilled freelancer to scrape and extract data from various public databases. The ideal candidate should have experience with data scraping tools and techniques, as well as a strong understanding of data structures. You will be responsible for gathering accurate and relevant information while ensuring compliance with data usage policies. If you have a keen eye for detail and a track record of successful data extraction projects, we would love to hear from you.
Contract duration of less than 1 month.
Mandatory skills:- Data Scraping
- Data Mining
- Data Extraction
- Scrapy
Data Scraper Needed for Public Database Extraction employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scraper Needed for Public Database Extraction
✨Tip Number 1
Network like a pro! Reach out to your connections in the data scraping community. You never know who might have a lead on a project or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous data scraping projects. This will give potential clients a taste of what you can do and help you stand out from the crowd.
✨Tip Number 3
Be proactive! Don’t just wait for job postings to come to you. Reach out to companies that interest you and pitch your services. They might not be hiring right now, but they could keep you in mind for future projects.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for skilled freelancers like you. It’s quick and easy, so why not give it a go?
We think you need these skills to ace Data Scraper Needed for Public Database Extraction
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data scraping tools like Scrapy in your application. We want to see how you've tackled similar projects before, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your relevant skills and experiences.
Tailor Your Application: Take a moment to customise your application for this role. Mention specific public databases you’ve worked with and how you ensured compliance with data usage policies. It shows us you’re genuinely interested!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at FreelanceJobs
✨Know Your Tools
Make sure you’re well-versed in the data scraping tools mentioned in the job description, especially Scrapy. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Projects
Prepare to talk about specific data extraction projects you've completed. Highlight the challenges you faced, how you overcame them, and the results you achieved. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand Data Compliance
Familiarise yourself with data usage policies and compliance issues related to public databases. Be prepared to discuss how you ensure that your scraping practices adhere to legal and ethical standards.
✨Attention to Detail
Since accuracy is key in data scraping, be ready to provide examples of how your attention to detail has positively impacted your work. This could include methods you use to verify data accuracy or how you handle discrepancies.
