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Freelance Python Web Scraping Jobs in Washington, DC

Data Engineer with Security Clearance

Chantilly, VA · On-site

$118K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

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 ...

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 ...

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Examine complex mission and operational problems Create insights from data • Build web scraping ... in Python and other languages for data cleaning and manipulation Preferred : • Experience ...

Senior Research Analyst

Arlington, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong skills with statistical software such as Stata; proficiency with Python, R, or GIS is ... web scraping, document review, or other means) and use of datasets from government or non ...

(Senior) Data Scientist

Washington, DC · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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 ...

Senior Research Analyst

Arlington, VA · On-site

$120K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong skills with statistical software such as Stata; proficiency with Python, R, or GIS is ... web scraping, document review, or other means) and use of datasets from government or non ...

Data Scientist - Senior

Falls Church, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Showing results 41-60

Freelance Python Web Scraping information

See Washington, DC salary details

$50

$65

$72

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

As of Aug 16, 2026, the average hourly pay for freelance python web scraping in Washington, DC is $65.56, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $70.77 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.

What are the most commonly searched types of Python Web Scraping jobs in Washington, DC?

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

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

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

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

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

WBG Pioneer - Financial Inclusion and Infrastructure Intern

World Bank Group

Washington, DC • On-site

$20 - $26.25/hr

Internship

Posted 2 days ago

New


Job description

WBG Pioneer

Background/Organizational Context

Ourteam (Financial Services Sector/Financial Inclusion) belongs to 'the KnowledgeBank'-a part of the World Bank Group that designs and delivers 'scalablesolutions': products or policies that help low- and middle-income countriesaddress their most urgent development challenges. Our focus is on financialinclusion of individuals and businesses (micro, small and medium enterprises-MSMEs)and enabling digital financial services (DFS). To get there, we facilitatelegal and regulatory reforms, and help countries set up their 'financialinfrastructures': payment, clearing and settlement systems, as well as creditand collateral registries.

Wework globally and focus on our field of expertise rather than onany particular country or region. Because of that, many of ourcolleagues find themselves working with governments or regulators frommany different places. It is not unusual to be simultaneously working onprojects in, for example, North Africa and Latin America. 

Providingconfidential, impartial, and evidence-based advice to central banks and otherfinancial sector regulators around the world is the most important part of ourwork. However, we also spend time on developing and managing databasesrelated to financial inclusion and infrastructure, helping other World BankGroup colleagues if they need our expertise in their projects, conductingresearch on financial inclusion and representing the World Bank Group at globalstandard-setting bodies such as the Financial Stability Board or the Bank forInternational Settlements. 

Duties and Responsibilities

The intern will be helping us with day-to-day dataanalyst work and have the opportunity to experience how we work with clients byattending meetings and helping prepare presentations and briefs. They will alsobe expected to:

Design and execute creative strategies to find and acquire relevant data, including web scraping, integrating APIs, use of administrative datasets, survey data and social media.

Develop code in Stata, R, or Python to analyze data and automate workflows. 

Draft sections of reports and presentations based on project work. 

Support the use and integration of LLMs for drafting, coding, and handling complex data problems, including building agentic workflows, connecting models to data via protocols like MCP, and integrating AI into research. 

In addition to helping with ad-hoc data work, theywill pursue a research or operational project, where they will be expected totake the leading role and try to deliver actionable insights with minimalsupervision. The projects envisioned for the interns in the winter cycleinclude:

Integrating our team's data with a corporate AI platform. This will require proactively reaching out to colleagues across the team who maintain different datasets and, for example, aligning those dataset's formats with what is required by the Model Context Protocol server used by the World Bank Group-wide platform. The intern may also have to think creatively about how to make retrieval-augmented generation (RAG) work with data formats that are not easy to ingest, or are inefficient with their use of tokens (from PowerBI dashboards to poor-quality scanned PDFs).

Using social media data on-chain records to find information about the use of cryptocurrencies for payments, and derive additional insights from it (for example, estimate unofficial exchange rates).

Design workflow for AI-assisted review of various documents-for example, procurement documentation, payment scheme rules, or project proposals.

We are also open to discussing other projects-weparticularly encourage applications from students whose honors/graduationtheses or other university research projects are related to our team's remit.