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Freelance Python Web Scraping Jobs in Colorado (NOW HIRING)

Xplor

Revenue Operations Analytics Engineer Momence

Denver, CO · On-site +1

$71K - $96K/yr

Use Python and SQL to automate and streamline processes Predictive analytics * Build predictive ... Experience with web scraping or non-traditional data ingestion * Exposure to predictive modeling or ...

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Freelance Python Web Scraping information

What is the difference between Freelance Python Web Scraping vs Freelance Data Analyst?

AspectFreelance Python Web ScrapingFreelance Data Analyst
Skills & CredentialsPython, web scraping libraries, basic data handlingExcel, SQL, data visualization, statistical analysis
Work EnvironmentRemote, project-based, client-specificRemote or on-site, consulting or project-based
Industry UsageWeb data extraction for research, marketing, or business insightsData interpretation, reporting, and strategic recommendations

Freelance Python Web Scraping focuses on extracting data from websites using Python, while Freelance Data Analysts interpret and analyze data to provide insights. Both roles often work remotely and require technical skills, but their core functions differ: one is data collection, the other is data analysis.

What are some common challenges faced by freelance Python web scraping professionals, and how can they be addressed?

Freelance Python web scraping professionals often encounter challenges such as dealing with websites that have anti-scraping measures, handling frequent changes in website structures, and managing large volumes of data efficiently. To address these issues, it's important to stay updated with the latest scraping libraries and techniques, utilize rotating proxies and user-agent strings, and write modular code that can be easily adapted when websites update their layouts. Additionally, maintaining clear communication with clients about legal considerations and project scope helps set realistic expectations and ensures a smooth workflow.

What is freelance Python web scraping?

Freelance Python web scraping involves using the Python programming language to extract data from websites on a project or contract basis, rather than as a full-time employee. Freelancers in this field use libraries like BeautifulSoup, Scrapy, or Selenium to gather, parse, and organize data from various web sources according to client needs. Projects can range from collecting product prices, aggregating news articles, monitoring social media trends, or compiling research datasets. Freelance web scrapers must ensure they comply with relevant legal and ethical guidelines, as well as website terms of service. The work requires technical proficiency, problem-solving skills, and clear communication with clients.

What are the key skills and qualifications needed to thrive as a Freelance Python Web Scraping specialist, and why are they important?

To thrive as a Freelance Python Web Scraping specialist, you need strong programming skills in Python, a deep understanding of web protocols, and knowledge of data extraction techniques. Familiarity with libraries like BeautifulSoup, Scrapy, Selenium, and experience using APIs, along with basic knowledge of version control systems like Git, is typically required. Problem-solving, attention to detail, and effective communication are crucial soft skills for managing client requirements and navigating technical challenges. These skills ensure efficient, ethical, and accurate data extraction, which is vital for delivering reliable results to clients.
What are the most commonly searched types of Python Web Scraping jobs in Colorado? The most popular types of Python Web Scraping jobs in Colorado are:
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Freelance Python Web Scraping jobs near you

Revenue Operations Analytics Engineer Momence

Xplor Technologies

Denver, CO • On-site

$71K - $96K/yr

Full-time

Posted 24 days ago

Job description

Job Summary:
Xplor Technologies is a company that powers experiences at the heart of everyday life through modern software and AI capabilities. They are seeking a Revenue Operations Analytics Engineer to manage and scale their revenue data stack, working closely with Sales, Marketing, and RevOps teams to turn data into actionable insights that drive revenue growth.
Responsibilities:
• Build and maintain data pipelines from APIs, third-party tools, and other sources
• Manage and optimize our data warehouse (Snowflake) and existing PostgreSQL systems
• Lead the migration from PostgreSQL to Snowflake, including schema design and data validation
• Ensure data quality, reliability, and scalability across revenue systems
• Design and maintain dbt models that power core revenue metrics
• Create clean, reusable datasets for reporting and analytics
• Define and improve data modeling standards and best practices
• Build and maintain dashboards (Looker) for Sales, Marketing, and leadership
• Define and track key funnel and revenue metrics (pipeline, conversion, retention)
• Deliver ad hoc analysis to support go-to-market decisions
• Build systems for lead enrichment, routing, and management
• Develop and iterate on lead scoring models
• Integrate data across CRM, marketing tools, and internal systems
• Use Python and SQL to automate and streamline processes
• Build predictive models such as churn risk or conversion likelihood
• Translate insights into actionable workflows for Sales and RevOps
Qualifications:
Required:
• Strong SQL skills, ideally with dbt
• Python for data processing and automation
• A solid grasp of data warehousing, ideally Snowflake
• Good knowledge of PostgreSQL
• Confidence working with BI tools, ideally Looker
• Familiarity with CRM, funnel, pipeline, and revenue data
• Ability to build clean, analytics-ready datasets
Preferred:
• Experience with web scraping or non-traditional data ingestion
• Exposure to predictive modeling or applied ML
• Experience supporting Sales / Marketing / RevOps teams
• AWS or cloud data infrastructure experience
Company:
Xplor Technologies is a global platform integrating SaaS solutions, embedded payments, and Commerce Accelerating Technologies. Founded in 2021, the company is headquartered in Atlanta, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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