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Web Data Scraping Jobs (NOW HIRING)

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Conduct ad hoc web scraping and data collection to support research and intelligence initiatives; * Prepare data for further analysis, including data cleaning, transformation, anonymization, and ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · On-site

$105K - $125K/yr

Conduct ad hoc web scraping and data collection to support research and intelligence initiatives; * Prepare data for further analysis, including data cleaning, transformation, anonymization, and ...

WisEngineering

$68 - $87.25/hr

Data Identification & Web Scraping: Actively identify external and internal data gaps needed to train or ground the LLM. Write and maintain Python web-scraping scripts to safely harvest relevant web ...

Circana

VP, AI Innovation (Web Scraping)

$230K - $236K/yr

Our predictive analytics and Liquid Data ® platform help clients measure market share, uncover ... Role Overview The SVP of AI Innovation - Web Scraping will lead the development and execution of ...

Career Renew

Research Crawling Engineer

Miami, FL · Remote

$80K - $175K/yr

You will work will span distributed systems, scraping infrastructure, and data pipelines. Responsibilities: * Build and maintain large-scale web crawlers across diverse domains * Design high ...

MLabs

Research Crawling Engineer

New York, NY · Remote

$100K - $130K/yr

As a Research Crawling Engineer , the successful candidate will design and operate large-scale web data acquisition systems. This role encompasses distributed systems, scraping infrastructure, and ...

MLabs

Research Crawling Engineer

New York, NY · On-site +1

$100K - $130K/yr

As a Research Crawling Engineer , the successful candidate will design and operate large-scale web data acquisition systems. This role encompasses distributed systems, scraping infrastructure, and ...

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Web Data Scraping information

What are the key skills and qualifications needed to thrive as a Web Data Scraping Specialist, and why are they important?

To thrive as a Web Data Scraping Specialist, you need strong programming skills (especially in Python), knowledge of web protocols, and familiarity with HTML, CSS, and JavaScript. Experience with tools like BeautifulSoup, Scrapy, Selenium, and understanding of APIs and data storage solutions are typically required. Problem-solving, attention to detail, and persistence are crucial soft skills for overcoming challenges like anti-scraping measures and complex site structures. These competencies ensure efficient, reliable extraction of valuable data while maintaining compliance and accuracy.

What is web data scraping?

Web data scraping is the process of automatically extracting information from websites using software tools or scripts. This technique allows users to collect large amounts of structured data from web pages, which can then be analyzed or used for various purposes such as market research, price monitoring, or content aggregation. Web data scraping is commonly used in industries that rely on real-time information and competitive analysis. However, it is important to respect website terms of service and copyright laws when scraping data.

What is the difference between Web Data Scraping vs Data Analyst?

AspectWeb Data ScrapingData Analyst
Primary RoleExtracting data from websites automaticallyInterpreting and analyzing data to inform business decisions
Skills RequiredProgramming, web technologies, data extraction toolsStatistical analysis, data visualization, Excel, SQL
Work EnvironmentTechnical, often in IT or data teamsBusiness, finance, marketing departments
Tools & TechnologiesPython, BeautifulSoup, ScrapyExcel, Tableau, R, SQL

Web Data Scraping focuses on automatically collecting data from websites using programming tools, while Data Analysts interpret and analyze data to support business strategies. Both roles require data handling skills but differ in technical focus and end goals.

What are some common challenges faced in a web data scraping role and how can they be addressed?

One common challenge in web data scraping is dealing with websites that use anti-bot measures, such as CAPTCHAs and frequent layout changes. Adapting to these obstacles often requires creative problem-solving, such as implementing rotating proxies or using headless browsers to mimic human behavior. Additionally, maintaining data accuracy and handling large volumes of unstructured data are ongoing tasks, making strong organizational and scripting skills essential. Collaborating with data analysts and developers is also key to ensuring the scraped data meets project needs and quality standards.
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Web Data Scraping jobs near you
Infographic showing various Web Data Scraping job openings in the United States as of June 2026, with employment types broken down into 14% Internship, 57% Full Time, and 29% Part Time. Highlights an 57% In-person, and 43% Remote job distribution.

Data Engineer, Web Scraping

10a Labs

Washington, DC • Remote

$105K - $125K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

In this role, you will:

  • Design, implement, and optimize end-to-end data pipelines for scraping and processing structured and unstructured data using Google Cloud Platform (or similar) and best practices; 
  • Conduct ad hoc web scraping and data collection to support research and intelligence initiatives;
  • Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking;
  • Contribute to the development of internal and external APIs, following best practices; 
  • Collaborate with ML engineers, other data engineers, and software developers to deliver actionable insights and functional tools, including internal and external dashboards, APIs, and data dumps; and 
  • Drive other critical initiatives. 

Requirements:

  • Degree (or equivalent work experience) in Computer Science, Engineering, Information Science, Data Science or a related field (graduate degree preferred)
  • 2+ years of professional experience in data engineering or a closely related field
  • Ability to communicate complex technical ideas clearly to non-technical audiences
  • Proficiency in Python, SQL
  • Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy)
  • Experience with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner) and workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub)
  • Experience building and managing data pipelines, especially for text data
  • Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams

Compensation & Benefits:

  • Salary Range: $105K-$125K, depending on experience and location
  • Bonus: Performance-based annual bonus
  • Professional Development: Support for conferences, continuing education, or leadership training
  • Work Environment: Fully remote, U.S.-based
  • Health Benefits: Comprehensive health, dental, and vision coverage
  • Time Off: Generous PTO and paid holiday schedule

Retirement: 401(k) plan

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