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I need 100,000 LinkedIn job postings scraped. The data should include job titles and descriptions, company names and locations, as well as salaries and benefits. Data Delivery: The scraped data should be delivered to me as CSV files. Update Frequency: I require weekly updates of the data. Ideal Skills & Experience: - Proficiency in data scraping tools and techniques - Experience with LinkedIn data scraping specifically - Ability to deliver data in specified format - Timeliness in delivering weekly updates
Project ID: 38847245
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Active 1 yr ago
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6 freelancers are bidding on average $80 USD for this job

Hi employer, I hold a Master's degree in Economics and statistics making me a suitable person for your project " LinkedIn Job Data Scraping ". I have more than 3 years of professional experience in statistical analysis. Besides, I have skills in Data Mining, Web Scraping, Excel, Python and Selenium. On Freelancer.com, I seek to help individuals, groups, or companies solve their statistical problems in various types of disciplines. My previous experience includes, but is not limited to: Descriptive Statistics, Visual Representation, Regression Analysis, Analysis of Variance, Nonparametric Statistics, etc. Click on my profile, (https://www.freelancer.com/hireme/monicawriter99) to see my profile reviews as well as have an insight into what I will do for you. Thank you.
$100 USD in 3 days
4.6
4.6

Hi, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Python, Excel, Web Scraping, Data Mining, Selenium Lets connect in chat so that We discuss further. Thank You
$50 USD in 7 days
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Athens, Greece
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Member since Feb 10, 2016
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