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Web Scraping Engineer Jobs (NOW HIRING)

Wynd Labs

Web Scraping Specialist

New York, NY

$102K - $103K/yr

Web Scraping Specialist $70k - $140k Who We Are. Wynd Labs is an early-stage startup that is on a ... Knowledge of asynchronous programming, multithreading, and distributed scraping. * In-depth ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

... 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 · On-site +1

$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

... 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 ...

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

... 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 ...

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Web Scraping Engineer information

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$59

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How much do web scraping engineer jobs pay per hour?

As of Jul 9, 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 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 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 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.

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.
More about Web Scraping Engineer jobs
What cities are hiring for Web Scraping Engineer jobs? Cities with the most Web Scraping Engineer job openings:
What states have the most Web Scraping Engineer jobs? States with the most job openings for Web Scraping Engineer jobs include:
What job categories do people searching Web Scraping Engineer jobs look for? The top searched job categories for Web Scraping Engineer jobs are:
Web Scraping Engineer jobs near you
Infographic showing various Web Scraping Engineer job openings in the United States as of July 2026, with employment types broken down into 61% Full Time, 31% Part Time, and 8% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $122,736 per year, or $59 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

New York, NY • Remote

$37/hr

Part-time

Re-posted 27 days ago

Job description

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable 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 AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About the Role

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

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • 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.

Compensation

On this project, contributors can earn up to $37 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.

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.

Requirements

  • At least 3 year 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.
  • 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).
  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
  • 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).

Benefits

Why this freelance opportunity might be a great fit for you?

  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly - a distinctive skill set in a rapidly growing field.
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Apply