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- Tasks: Extract data from a church website and build a comprehensive CSV file.
- Company: Join a community-focused organisation dedicated to sharing knowledge.
- Benefits: Flexible hours, remote work, and a chance to enhance your data skills.
- Why this job: Make a difference by organising valuable information for the community.
- Qualifications: Proficiency in data mining, extraction, scraping, and Python.
- Other info: Short-term contract with a dynamic work environment.
The predicted salary is between 13 - 16 £ per hour.
The source is a paginated section of a church website with a list of items with audio files that can be played and downloaded and PDFs that can be viewed. The deliverable is a CSV file which contains the following data:
- Speaker Name
- Title
- Date
- Category
- Description
- MP3 Audio URL
- PDF URL(s)
Contract duration of less than 1 month, with 40 hours per week.
Mandatory skills: Data Mining, Data Extraction, Data Scraping, Web Scraping, Python.
Data extraction expert needed to build CSV from paginated website employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data extraction expert needed to build CSV from paginated website
✨Tip Number 1
Get familiar with the website you're targeting. Spend some time navigating through the paginated sections to understand how the data is structured. This will help you identify the best approach for extracting the information you need.
✨Tip Number 2
Brush up on your Python skills! Since the job requires data extraction using Python, make sure you're comfortable with libraries like BeautifulSoup and Pandas. We can’t stress enough how handy these tools are for scraping and managing your data.
✨Tip Number 3
Don’t hesitate to reach out to the church for clarification if you hit a snag. Sometimes, a quick chat can save you hours of digging around. Plus, it shows your initiative and willingness to communicate!
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. By applying directly, you’ll ensure your application gets the attention it deserves. Let’s get you that job!
We think you need these skills to ace Data extraction expert needed to build CSV from paginated website
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data mining, extraction, and scraping in your application. We want to see how you've tackled similar projects before, so don’t hold back!
Be Clear and Concise: When detailing your past work, keep it straightforward. We appreciate clarity, so use bullet points or short paragraphs to make your achievements stand out.
Tailor Your Application: Don’t just send a generic application! Take a moment to customise your cover letter and CV to reflect the specific skills and experiences that match our needs for this role.
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’re considered for the role without any hiccups!
How to prepare for a job interview at FreelanceJobs
✨Know Your Data Tools
Make sure you’re well-versed in data mining, extraction, and scraping techniques. Brush up on your Python skills, as they’ll be crucial for this role. Be ready to discuss specific libraries or frameworks you’ve used in past projects.
✨Showcase Your Previous Work
Prepare examples of previous data extraction projects, especially those involving paginated websites. If possible, bring along a sample CSV file you’ve created to demonstrate your ability to structure data effectively.
✨Understand the Project Scope
Familiarise yourself with the church website mentioned in the job description. Knowing how to navigate it and what kind of data is available will show your initiative and understanding of the task at hand.
✨Ask Insightful Questions
Prepare questions about the project’s goals and any challenges they foresee. This not only shows your interest but also helps you gauge if the role aligns with your skills and expectations.
