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Freelance Python Web Scraping Jobs in Fort Washington, MD

10a Labs

Engineering Fellowship

Washington, DC

$125/hr

Strong Python background * Clear communicator of technical concepts for non-technical audiences ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

Leidos

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

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 ...

Leidos

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

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 ...

Staffed4U

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

... using Python and SQL. * Integrate data from a variety of structured and unstructured sources ... Develop and maintain web scraping and data ingestion workflows to collect and process open-source ...

10a Labs

Engineering Fellowship

Washington, DC · On-site

Strong Python background * Clear communicator of technical concepts for non-technical audiences ... Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) Machine Learning ...

GRVTY

Data Scientist - Senior

Falls Church, VA

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 ...

Edgesource

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Python, SQL, and PySpark (highly desired) for data processing and pipeline development. * Elastic ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data ... Python, SQL, and PySpark (highly desired) for data processing and pipeline development. * Elastic ...

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Freelance Python Web Scraping information

See Fort Washington, MD salary details

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How much do freelance python web scraping jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for freelance python web scraping in Fort Washington, MD is $59.62, according to ZipRecruiter salary data. Most workers in this role earn between $54.47 and $64.38 per hour, depending on experience, location, and employer.

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.
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Freelance Python Web Scraping jobs near you

Talent Intelligence Research Engineer

McChrystal Group

Alexandria, VA • On-site

$125K - $190K/yr

Full-time

Re-posted 24 days ago

Job description

Position Overview: 

Our consultants work side by side with client organizations to help them make smarter decisions about their people. The Talent Intelligence Research Engineer is the analytical engine behind that work. 

In this role, you will be embedded on client-facing consulting teams, working directly with clients to answer complex questions about their workforce and talent landscape. The data you work with spans publicly available talent and talent-adjacent data, as well as clients’ own workforce data. 

The questions you'll tackle might look like: How much should we be paying for this role in this market? Where does the talent we need actually exist, and can we compete for it? How does our workforce compare to our competitors? What skills does our organization have today, and what are we missing? 

To answer those questions, you'll pull from a wide toolkit, writing code, scraping and acquiring data from public sources, applying natural language processing, machine learning, and AI techniques, and designing custom analytical approaches when no off-the-shelf solution exists. Every engagement is different, and the problems are genuinely novel. 

This is not a role that maintains systems or runs recurring reports. It is investigative and project-based by nature. You'll move from engagement to engagement, working alongside consultants and client business leaders to develop proprietary methodologies, build analytical capabilities that don't exist anywhere else, and deliver the data assets and insights that help clients make better decisions about their talent, workforce, organization, and leadership. 

Workforce & Talent Intelligence

  • Conduct research and analysis related to labor markets, compensation, talent availability, workforce composition, organizational structures, skills, and recruiting dynamics. 

  • Develop methodologies to estimate or infer workforce attributes that are not directly observable. 

  • Analyze talent pools, labor supply, competitive hiring environments, and organizational capabilities. 

  • Produce actionable talent intelligence for client engagements. 

  • Communicate findings, assumptions, confidence levels, and limitations to both technical and non-technical audiences. 

Research Engineering & Data Acquisition

  • Acquire data from public, commercial, and proprietary sources. 

  • Develop custom web scraping, extraction, and enrichment workflows to support research initiatives. 

  • Build one-off software tools and analytical applications required to answer specific business questions. 

  • Evaluate data quality, completeness, and reliability across multiple sources. 

  • Rapidly learn and apply new technologies, techniques, and datasets as project requirements evolve. 

Machine Learning, AI & Advanced Analytics

  • Apply machine learning, natural language processing, statistical methods, and generative AI techniques to solve talent intelligence problems. 

  • Develop similarity, matching, classification, clustering, ranking, and inference approaches when appropriate. 

  • Leverage large language models and modern AI tooling to accelerate research and insight generation. 

  • Design experiments and validation approaches to assess analytical accuracy and reliability. 

  • Translate analytical outputs into practical business recommendations. 

Consulting & Collaboration

  • Partner with consultants, researchers, and client-facing stakeholders to understand business challenges. 

  • Contribute to the development of proprietary talent intelligence methodologies and intellectual property. 

  • Support client engagements through research, analytical problem solving, and technical expertise. 

  • Present research findings and recommendations to clients and internal stakeholders. 

  • Share tools, approaches, and best practices across the organization. 

Qualifications:

Required Qualifications 

  • Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Mathematics, Engineering, Social Sciences, or a related quantitative field. 

  • 4-6 years of relevant experience 

  • Experience conducting independent analytical or research-oriented projects. 

  • Strong programming skills, particularly in Python. 

  • Strong analytical reasoning and problem-solving abilities. 

  • Ability to work effectively in ambiguous environments with limited precedent or direction. 

  • Excellent written and verbal communication skills. 

  • Experience with labor market, workforce, recruiting, compensation, or organizational data. 

  • Experience working with large structured and unstructured datasets. 

  • Must be able to obtain and maintain a U.S. Government security clearance. 

Preferred Qualifications 

  • Experience with web scraping, data acquisition, and information extraction. 

  • Experience with machine learning, NLP, or AI-assisted analytics. 

  • Exposure to consulting, market intelligence, economic research, competitive intelligence, or workforce analytics environments. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.