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Freelance Python Web Scraping Jobs in Washington

Use APIs, web scraping, and other computational methods to collect new data. * Experiment with ... Proficiency in Python, R, or Stata and demonstrated ability to learn and work in additional ...

Build web scraping algorithms for imagery curation in accordance with customer data priorities ... Development experience in Python and other languages for data cleaning and manipulation What Would ...

Build web scraping algorithms for imagery curation in accordance with customer data priorities ... Development experience in Python and other languages for data cleaning and manipulation What Would ...

Build web scraping algorithms for imagery curation in accordance with customer data priorities ... Development experience in Python and other languages for data cleaning and manipulation What Would ...

Perform web scraping and apply various techniques for processing unstructured data. * Leverage ... Experience with Python is required. * Social network analysis (SNA) experience * Strong SQL skills ...

... web-based data scraping. * Ability to troubleshoot application networking, routing, client ... Strong Python experience * Experience with building RESTful APIs * Experience with NoSQL databases ...

... web-based data scraping. * Ability to troubleshoot application networking, routing, client ... Strong Python experience * Experience with building RESTful APIs * Experience with NoSQL databases ...

... web-based data scraping. * Ability to troubleshoot application networking, routing, client ... Strong Python experience * Experience with building RESTful APIs * Experience with NoSQL databases ...

Full Stack Developer

Reston, VA · On-site

$140K - $180K/yr

... web-based data scraping. * Ability to troubleshoot application networking, routing, client ... Strong Python experience * Experience with building RESTful APIs * Experience with NoSQL databases ...

Showing results 41-60

Freelance Python Web Scraping information

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 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 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 Washington?

The most popular types of Python Web Scraping jobs in Washington are:

What are popular job titles related to Freelance Python Web Scraping jobs in Washington?

For Freelance Python Web Scraping jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Freelance Python Web Scraping jobs in Washington look for?

The top searched job categories for Freelance Python Web Scraping jobs in Washington are:

What cities in Washington are hiring for Freelance Python Web Scraping jobs?

Cities in Washington with the most Freelance Python Web Scraping job openings:

Infographic showing various Freelance Python Web Scraping job openings in Washington as of June 2026, with employment types broken down into 13% Full Time, 42% Part Time, and 45% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Exploitation Specialist/Data Scientist support to MA VEN, EO and SAR (Senior)

Columbia, MD • On-site

Full-time

Re-posted 21 days ago


Job description

Job Summary:
BTS Software Solutions is seeking a Senior Exploitation Specialist/Data Scientist to support Department of Defense IC missions at Springfield, VA. The role involves performing data analysis, developing visualizations, and creating software to manage data pipeline tasks while integrating emerging sensors into existing data workflows.
Responsibilities:
• Integrate emerging sensors and platforms into existing Maven or Government directed data pipelines.
• Assess potential differences in metadata, data format, and data structure characteristics in regards to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline.
• Conduct analysis of how the emerging sensor data impacts overall Maven data holdings from the perspective of Machine Leaming model development, test and evaluation use cases, and support for real-world operational use-cases.
• Evaluate and recommend a solution for partitioning the emerging sensor's data into training, test, and validation splits for effective Machine Leaming model development and model performance evaluation.
• Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems.
• Foster cross-departmental collaboration to enhance workflows and create efficiencies in data analysis and imagery curation that results in greater productivity and efficacy of labeling efforts.
• Lead projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data.
• Build web scraping algorithms for imagery curation in accordance with NGA Maven data priorities.
• Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and concerns to meet NGA Maven's priorities.
• Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities.
• Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives.
• Build and integrate analytic tools and algorithms for imagery curation for imagery acquisition and chipping.
• Design methods and mechanisms to track, report, and monitor a set of mission specific objectives in order to maintain custody of NGA Maven training data priorities.
• Build software tools to manage labeling campaigns that keep track of unlabeled and labeled data, status of labeling campaigns, and transfer label task information.
• Build software tools to filter and visualize data geospatially, allow feedback entry, or allow analysis of data.
• Conduct analysis of overall Maven data holdings to support the development of performant Artificial Intelligence and Machine Learning models to satisfy operational user requirements.
• Evaluate, monitor, and provide recommendations on ways to partition training, test, and validation splits for effective Machine Leaming model development and model performance evaluation.
Qualifications:
Required:
• Experience working with Al/ML technologies and data systems
• Experience working with multiple file types including geospatial file formats, JSON, XML, etc.
• 3+ years of experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights. This should include experience with data manipulation, extract, transform, load (ETL) procedures, and a working knowledge of database technologies (SQL, NoSQL)
• Development experience in Python and other languages for data cleaning and manipulation
Preferred:
• Experience applying Natural Language Processing (NLP) algorithms to extract data from documents
• Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting along with data standardization best practices.
• Demonstrated expertise in math, statistics, and quantitative analysis. Experience with various analytic techniques such as classification, regression, clustering, data reduction, and causal modelling.
Company:
BTS Software Solutions delivers intelligence operations and advanced engineering capabilities to support complex, fast-changing defense and intelligence missions. Founded in 2009, the company is headquartered in Columbia, Maryland, US, , with a team of 201-500 employees. The company is currently Growth Stage.