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Freelance Python Web Scraping Jobs in Maryland (NOW HIRING)

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Laurel, MD · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Bowie, MD · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Lead AI Engineer

Annapolis, MD · On-site

$101.50K - $133.60K/yr

Proficient in Python and SQL; experienced with large-scale, real-time data. * Skilled in AWS and ... Experience with information retrieval and web data mining, leveraging large-scale scraping, search ...

Freelance Python Web Scraping information

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 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 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 the most commonly searched types of Python Web Scraping jobs in Maryland? The most popular types of Python Web Scraping jobs in Maryland are:
What are popular job titles related to Freelance Python Web Scraping jobs in Maryland? For Freelance Python Web Scraping jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Freelance Python Web Scraping jobs in Maryland look for? The top searched job categories for Freelance Python Web Scraping jobs in Maryland are:
What cities in Maryland are hiring for Freelance Python Web Scraping jobs? Cities in Maryland with the most Freelance Python Web Scraping job openings:

Web Scraping Engineer - On-Site (U.S. Citizen - Active Secret Clearance)

Join Our Team

Fulton, MD • On-site

$95K - $105K/yr

Full-time

Posted 4 days ago


Job description

Description:

NOTE: This is a full-time employment opportunity (No C2C, subcontractor or 1099 engagements, please.). The candidate MUST be a U.S. Citizen and have an active secret clearance. This is an on-site opportunity - candidate must be in local to the Arlington VA area.


Daily Responsibilities

  • Position supports the development and maintenance of the agency’s web scraping infrastructure. The position is responsible for extracting data from various websites and APIs, ensuring data quality and accuracy, and optimizing the scraping process for efficiency. Duties include:
  • Develop and maintain web scraping scripts and tools to extract data from websites and APIs.
  • Collaborate with cross-functional teams to understand data requirements and implement scraping solutions accordingly.
  • Monitor and troubleshoot scraping processes to ensure data quality and accuracy.
  • Optimize scraping scripts for performance and efficiency, considering factors such as speed, scalability, and resource utilization.
  • Stay up to date with the latest web scraping techniques, tools, and best practices.
  • Conduct data analysis and validation to ensure the integrity of scraped data.
  • Collaborate with data engineering and data science teams to integrate scraped data into our data pipelines and systems.
  • Document and communicate technical solutions, processes, and best practices to team members.
Requirements:
  • Must be a U.S. Citizen (no dual status) as mandated by our government client.
  • Must have an active secret clearance.
  • Must be local to the Arlington VA metro area, no convenience travel.
  • 3+ years of professional experience in web scraping or a similar role.
  • Proficiency in Python and Java and experience with web scraping libraries such as Beautiful Soup, Scrapy, or Selenium.
  • Knowledge of AI/machine learning techniques for data extraction and classification.
  • Understanding of HTML, CSS, and JavaScript to navigate and interact with websites.
  • Experience working with APIs and handling different data formats (JSON, XML, etc.).
  • Familiarity with database systems and SQL for data storage and retrieval.
  • Familiarity of data cleaning and preprocessing techniques to ensure data quality.
  • Strong problem-solving skills and ability to troubleshoot and debug scraping issues.
  • Excellent communication and collaboration skills to work effectively in a team environment.
  • Attention to detail and ability to handle large volumes of data efficiently.
  • BS/BA degree in Computer Science, Information Sciences, or related IT discipline. Additional years of related professional experience can be substituted for a BS/BA degree.


Additional Qualifications (a PLUS):

  • Experience with cloud platforms for scalable web scraping infrastructure.
  • Familiarity with data visualization tools and techniques.
  • Understanding of legal and ethical considerations related to web scraping.

Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, location, and other business and organizational needs.