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Senior Remote Web Scraping Jobs (NOW HIRING)

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

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 ...

FINTRX

Data Scientist I - Remote, EST Hours

Boston, MA · On-site +1

The ideal candidate will analyze and interpret data, conduct web scraping, and utilize Python and ... Offering a competitive salary, unlimited PTO, and additional benefits, this role allows for remote ...

Dascena

Integration Engineer

Oakland, CA · On-site +1

$119.40K - $160.80K/yr

OCR and web-scraping experience required . This role can be remote. Your presence at our Oakland, CA office location is not a requirement. Qualifications * Scripting Languages: Python * Scripting ...

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How much do senior remote web scraping jobs pay per year?

As of Jun 3, 2026, the average yearly pay for senior remote web scraping in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Remote Web Scraping Specialist, you need deep expertise in Python or similar languages, advanced knowledge of data extraction techniques, and experience with web protocols and APIs, often backed by a computer science degree or equivalent experience. Familiarity with tools like Scrapy, BeautifulSoup, Selenium, and cloud-based data pipelines, as well as version control systems such as Git, is typically required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills in this role. These capabilities ensure efficient, ethical, and scalable data extraction while collaborating smoothly with distributed teams.

What are some typical challenges faced by Senior Remote Web Scraping professionals, and how can they be addressed?

Senior Remote Web Scraping professionals often encounter challenges such as dealing with anti-bot measures, rapidly changing website structures, and ensuring data accuracy and legality. Overcoming these obstacles requires strong problem-solving skills, proficiency with tools like Selenium or Scrapy, and a solid understanding of web protocols. Collaborating with cross-functional teams, such as data engineering and legal, can help ensure compliance and data quality. Staying updated on industry best practices and continuously refining scraping strategies are essential for success in this role.

What does a Senior Remote Web Scraping specialist do?

A Senior Remote Web Scraping specialist is responsible for designing, developing, and maintaining automated systems that extract data from websites and online sources. They use programming languages like Python, tools like Selenium or Scrapy, and ensure that the data collected is accurate, clean, and usable. Working remotely, they often collaborate with data analysts, engineers, and business teams to support data-driven projects, all while adhering to legal and ethical guidelines regarding data collection.

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

AspectSenior Remote Web ScrapingRemote Data Analyst
CredentialsExperience with web scraping tools, programming languages (Python, JavaScript), and data extraction techniquesDegree in Data Science, Statistics, or related field; proficiency in data analysis tools (Excel, SQL, R)
Work EnvironmentPrimarily focused on developing and maintaining web scraping scripts, working independently or in small teamsAnalyzing data sets, creating reports, and providing insights, often collaborating with cross-functional teams
Industry UsageCommon in tech, e-commerce, market research, and data collection companiesUsed across finance, marketing, healthcare, and consulting firms

While both roles involve working with data, Senior Remote Web Scraping specializes in extracting data from websites using programming skills, whereas Remote Data Analysts focus on interpreting and visualizing data to support decision-making. The roles often overlap in data handling but differ in technical focus and daily tasks.

More about Senior Remote Web Scraping jobs
What cities are hiring for Senior Remote Web Scraping jobs? Cities with the most Senior Remote Web Scraping job openings:
What states have the most Senior Remote Web Scraping jobs? States with the most job openings for Senior Remote Web Scraping jobs include:
What job categories do people searching Senior Remote Web Scraping jobs look for? The top searched job categories for Senior Remote Web Scraping jobs are:
Senior Remote Web Scraping jobs near you
Infographic showing various Senior Remote Web Scraping job openings in the United States as of May 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

Remote

$37/hr

Part-time

Posted 21 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