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Freelance Web Data Scraping Jobs in Washington (NOW HIRING)

Data Analyst

Washington, DC · On-site

$80 - $90/hr

Use web scraping and APIs to gather data at scale * Use LLMs, embedding, and other machine learning tools to process non-numerical data at scale * Produce graphical representations of trends and ...

New

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.

We are looking for a Senior Python Engineer with a "hacker" mindset to join our team as a Software Engineer III. This role is dedicated to large-scale web scraping and data harvesting. If you have ...

Data Scientist

Mclean, VA

$107K - $195K/yr

Perform web scraping and apply various techniques for processing unstructured data. * Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.

Software Engineer III

Reston, VA · On-site +1

$59.75 - $80.25/hr

We are looking for a Senior Python Engineer with a "hacker" mindset to join our team as a Software Engineer III. This role is dedicated to large-scale web scraping and data harvesting. If you have ...

Build web scraping algorithms for imagery curation in accordance with customer data priorities * Integrate multiple data and intelligence sources in various formats for imagery curation to address ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

Develop and maintain web scraping and data ingestion workflows to collect and process open-source data. * Transform collected information into structured datasets and visualizations for stakeholder ...

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data, integrating content and producing structured datasets and visualizations for analytics and stakeholder ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Develop and implement web scraping and data ingestion workflows to collect open-source data, integrating content and producing structured datasets and visualizations for analytics and stakeholder ...

Examine complex mission and operational problems Create insights from data • Build web scraping algorithms for imagery curation in accordance with customer data priorities • Integrate multiple ...

Build web scraping algorithms for imagery curation in accordance with customer data priorities * Integrate multiple data and intelligence sources in various formats for imagery curation to address ...

Showing results 21-40

Freelance Web Data Scraping information

What is freelance web data scraping?

Freelance web data scraping involves extracting information from websites on behalf of clients, usually for purposes like research, business intelligence, or data analysis. Freelancers use programming languages and tools, such as Python with libraries like BeautifulSoup or Scrapy, to collect and organize data efficiently. They must ensure their methods comply with legal and ethical guidelines, as not all websites permit data scraping. Clients typically hire freelance web scrapers for specific projects or ongoing data collection needs.

What are the key skills and qualifications needed to thrive as a freelance web data scraper, and why are they important?

To thrive as a Freelance Web Data Scraper, you need strong programming skills in languages like Python, familiarity with HTML/CSS, and a solid understanding of data extraction techniques. Proficiency with tools such as Beautiful Soup, Scrapy, Selenium, and knowledge of APIs is essential, and certifications in data science or web development can be advantageous. Attention to detail, problem-solving abilities, and effective communication help freelancers navigate complex websites and manage client expectations. These skills ensure efficient, ethical, and accurate data extraction, which is crucial for delivering value and maintaining client trust.

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

Freelance web data scraping professionals often encounter challenges such as website structure changes, anti-scraping measures (like CAPTCHAs or IP blocking), and varying data formats. Staying updated with the latest scraping tools and techniques, using rotating proxies, and employing headless browsers can help overcome these obstacles. Building strong communication with clients to clarify data requirements and proactively addressing potential legal or ethical concerns also contributes to successful project outcomes.

What is the difference between Freelance Web Data Scraping vs Freelance Data Mining?

AspectFreelance Web Data ScrapingFreelance Data Mining
CredentialsBasic programming skills, knowledge of web scraping toolsData analysis skills, knowledge of data mining techniques
Work EnvironmentPrimarily remote, project-basedRemote or on-site, often involves data analysis platforms
Industry UsageWebsites, e-commerce, researchBusiness intelligence, market research, analytics
Search & Comparison IntentFocus on extracting data from websitesFocus on analyzing large datasets for insights

Freelance Web Data Scraping involves extracting data directly from websites using programming tools, while Freelance Data Mining focuses on analyzing large datasets to uncover patterns and insights. Both roles require technical skills but serve different purposes in data collection and analysis.

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

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

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

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

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

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

Infographic showing various Freelance Web Data Scraping job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$80 - $90/hr

Other

Posted yesterday

New


Job description

Conduct data-based research at the intersection of public policy and corporate strategy, combining qualitative policy research, large-scale data processing, and structured classification of datasets. A data analyst will be involved in every part of a research project, from organizing and designing the collection of messy public information, to converting that information into structured datasets, to generating analysis with clearly articulated and evidenced findings, to presenting those findings to senior leadership of corporate clients.

Baron Public Affairs, LLC equips corporate and government leaders to anticipate and manage the threats and opportunities that shape the competitive landscape. Applying a methodology focused on mastering the strategic competition of interests, Baron advises some of the nation’s most prominent organizations, including members of the Fortune 10, several of America’s largest privately held businesses, and the U.S. Department of Defense.

APPLICATION

Interested candidates should submit an example of their work, cover letter, transcripts (official or unofficial), and a resume. The example of your work should demonstrate analytical skills and the ability to clearly convey quantitative analysis to a non-technical audience. The application deadline is July 7, with an expected start date between July and mid-September.

COMPENSATION

$80,000 to $90,000 annually, depending on experience.

Baron does not sponsor work visas and requires the ability to work in-person in Washington D.C.

RESPONSIBILITIES
  • Analysis of public records, filings, and government databases
  • Build structured datasets from unstructured or semi-structured sources
  • Devise strategies for quantitative analysis of trends where data is obfuscated or is not neatly quantifiable
  • Develop and maintain workflows for cleaning, transforming, joining, classifying, and analyzing large datasets
  • Use web scraping and APIs to gather data at scale
  • Use LLMs, embedding, and other machine learning tools to process non-numerical data at scale
  • Produce graphical representations of trends and other findings
  • Merge quantitative analysis with the qualitative expertise of team members to generate novel insights
  • Distill extensive analysis into key, actionable findings presented in dashboards, slide decks, and memos
REQUIRED BACKGROUND AND SKILLS
  • A strong STEM background including proficiency in statistics and calculus
  • Extensive experience in one or more programming languages (Python, SQL, R, or MATLAB preferred)
  • Ability to work with large datasets and design scalable, repeatable workflows rather than one-off analyses
  • Experience presenting data graphically
  • Detail-oriented
  • Interest in politics
PREFERRED BACKGROUND AND SKILLS
  • Experience with and technical understanding of machine learning algorithms and tools
  • Strong organizational skills
  • Interest in designing elegant visuals and experience with Adobe InDesign and/or Tableau
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