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Web Scraping Engineer Jobs (NOW HIRING)

Jobgether

$88K - $106K/yr

Our partner is looking for a Senior Data Engineer - Web Scraping based in Netherlands. This is a fully remote opportunity for a data engineering professional specializing in web scraping, data ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

MLabs

Web Scraping Specialist

New York, NY · Remote

$75K - $100K/yr

Advanced Programming: Strong knowledge of asynchronous programming, multithreading, and distributed scraping architectures. * Web Fundamentals: In-depth knowledge of HTML, CSS, JavaScript, and the ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · On-site

$105K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

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Web Scraping Engineer information

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How much do web scraping engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for web scraping engineer in the United States is $59.01, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $66.83 per hour, depending on experience, location, and employer.

What does a web scraping engineer do?

A Web Scraping Engineer designs and develops software tools or scripts to automatically extract data from websites. They work with programming languages like Python and use libraries such as BeautifulSoup or Scrapy to gather and process web data efficiently. In addition to building scrapers, they also handle challenges such as dealing with website restrictions, CAPTCHAs, and ensuring compliance with legal and ethical guidelines. Their work is often used for market research, data analysis, or feeding information into business applications.

What are some common challenges faced by web scraping engineers when extracting data from dynamic websites?

Web Scraping Engineers often encounter challenges such as navigating websites that use JavaScript to load content dynamically, dealing with anti-bot measures like CAPTCHAs or IP blocking, and ensuring data accuracy as website structures frequently change. To address these issues, engineers typically use headless browsers, rotating proxies, and robust error handling strategies. Staying up-to-date with the latest web technologies and adapting scripts proactively are essential for long-term success in this role.

What are the key skills and qualifications needed to thrive as a web scraping engineer, and why are they important?

To thrive as a Web Scraping Engineer, you need strong programming skills (especially in Python), knowledge of data extraction techniques, and familiarity with web protocols and HTML structure. Expertise with tools like Scrapy, BeautifulSoup, Selenium, and experience with APIs or anti-bot evasion techniques is typically required. Attention to detail, problem-solving, and strong analytical thinking are essential soft skills in this field. These skills ensure efficient, ethical, and reliable extraction of data from diverse web sources while navigating technical and legal complexities.

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

AspectWeb Scraping EngineerData Engineer
Primary FocusDeveloping and maintaining web scraping tools to extract data from websitesBuilding and managing data pipelines and infrastructure for data storage and processing
Skills & CertificationsPython, APIs, HTML, CSS, web scraping libraries (BeautifulSoup, Scrapy)SQL, ETL tools, cloud platforms, programming (Python, Java)
Work EnvironmentTech companies, data-driven startups, research projectsLarge enterprises, data warehouses, cloud environments
Industry UsageData collection for analytics, research, competitive analysisData integration, analytics, machine learning pipelines

While both roles involve working with data, a Web Scraping Engineer specializes in extracting data from websites using scraping tools, whereas a Data Engineer focuses on building data pipelines and infrastructure for storing and processing large datasets. The roles often overlap in skills like Python programming but serve different core functions within data ecosystems.

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Web Scraping Engineer jobs near you
Infographic showing various Web Scraping Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $122,736 per year, or $59 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Brooklyn, NY • Remote

$45/hr

Part-time

Re-posted 23 days ago

Job description

Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do 

The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Educational qualifications

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (Essential)

  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)

Additional requirements

  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation 

On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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