Crossing Hurdles

Data Extraction Specialist | $50/hr Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Extraction Specialist, a part-time contractor position paying $20-$50/hr, remote. Key skills include web scraping with Python, Scrapy, and Selenium, along with expertise in HTML, CSS, APIs, and data cleaning.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
July 15, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Scala #JSON (JavaScript Object Notation) #"ETL (Extract #Transform #Load)" #Python #Storage #Databases #HTML (Hypertext Markup Language) #Data Extraction #XML (eXtensible Markup Language) #Data Cleaning #Data Quality #Web Scraping #Security #JavaScript #NoSQL
Role description
Position: Web Scraper Type: Contractor (Part-time) Compensation: $20-$50/hr Location: Remote Commitment: 10-40 hrs/week Role Responsibilities • Design, develop, and maintain robust web scraping scripts and applications to extract data from various online sources. • Perform data extraction from multiple websites, effectively handling both static and dynamic content. • Clean, validate, and structure large volumes of scraped data to ensure accuracy for further analysis. • Monitor scraping pipelines for data quality, troubleshoot scraping failures, and implement solutions to maintain effectiveness. • Collaborate with team members to define data requirements and deliverables, ensuring alignment with project goals. • Document scraping processes and maintain code for scalability and reusability in future projects. Requirements • Have proven experience in building and maintaining web scrapers using tools such as Python, Scrapy, Selenium, or similar technologies. • Possess a strong understanding of HTML, CSS, JavaScript, and web protocols. • Have expertise in handling APIs, RESTful interfaces, and parsing JSON/XML data. • Demonstrate proficiency with data cleaning, manipulation, and storage using relational or NoSQL databases. • Have knowledge of web security concepts and best practices for ethical scraping. Application Process • Easy Apply on LinkedIn • Check email for next steps • Participate in resume evaluation & interview stage