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Data Scraping Remote Jobs (NOW HIRING)

Mindrift

Senior Web Scraping Specialist (Python)

$45/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 ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Design, implement, and optimize end-to-end data pipelines for scraping and processing structured ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

Conduct ad hoc web scraping and data collection to support research and intelligence initiatives ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Lockheed Martin

Data Analyst Sr - Level 3

Fort Worth, TX · On-site +1

... scraping, query databases for stakeholder requests, and triage data quality issues for timely ... From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your ...

Lockheed Martin

Data Analyst Sr - Level 3

Fort Worth, TX · On-site +1

... scraping, query databases for stakeholder requests, and triage data quality issues for timely ... From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your ...

MLabs

Web Scraping Specialist

New York, NY · On-site +1

$75K - $100K/yr

Remote with a 6 hour overlap with EST Remote Full-time Compensation: $75K - $100K We are hiring on ... Data Retrieval: Manage complex data retrieval tasks, including handling pagination and dynamic ...

MLabs

Web Scraping Specialist

New York, NY · Remote

$75K - $100K/yr

Remote with a 6 hour overlap with EST Remote | Full-time Compensation: $75K - $100K We are hiring ... Data Retrieval: Manage complex data retrieval tasks, including handling pagination and dynamic ...

CTC

Web Scraping Engineer- 3566726

Arlington, VA · On-site +1

$105K - $110K/yr

... IT, data analytics, cloud managed hosting services, agile software development, DevOps, Test ... This position is currently remote, with occasional meetings in Arlington, VA. Daily ...

Prismfly

Automation Specialist (Remote)

Dallas, TX · On-site +1

Implement data scraping, enrichment, and segmentation strategies to target ideal customer profiles. * Create and maintain automated processes for updating and cleansing lead database. * Work closely ...

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All JobsData Scraping Remote Jobs

Data Scraping Remote information

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$46K

$165K

$243.5K

How much do data scraping remote jobs pay per year?

As of Jun 30, 2026, the average yearly pay for data scraping remote in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scraping Remote specialist, you need strong programming skills in languages like Python, proficiency in web protocols, and experience with data extraction techniques. Familiarity with tools and frameworks such as BeautifulSoup, Scrapy, Selenium, and knowledge of APIs is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting requirements and ensuring data integrity. These skills and qualities are vital for efficiently gathering accurate data while navigating the technical and ethical challenges of remote web scraping projects.

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

Remote data scraping professionals often encounter challenges such as dealing with anti-scraping mechanisms (like CAPTCHAs or frequent site structure changes), ensuring data accuracy, and managing large-scale data extraction efficiently. Effective solutions include using rotating proxies, headless browsers, and robust error-handling strategies. Additionally, maintaining open communication with your remote team and staying updated on legal and ethical guidelines for data collection are crucial for long-term success in this role.

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

AspectData Scraping RemoteData Analyst
Required SkillsWeb scraping, programming (Python, SQL), data extractionData interpretation, statistical analysis, visualization
Work EnvironmentRemote, independent, project-basedRemote or on-site, team collaboration
Industry UsageData collection, research, lead generationBusiness insights, reporting, decision-making
CertificationsBasic programming, data handlingStatistics, data analysis tools (Excel, Tableau)

Data Scraping Remote focuses on extracting data from websites using programming skills, often working independently. Data Analysts interpret and analyze data to provide insights, typically requiring statistical knowledge. While both roles may be remote, their core skills and industry applications differ significantly, making them distinct career paths.

What is a Data Scraping Remote job?

A Data Scraping Remote job involves extracting large amounts of data from websites or online sources using automated tools or scripts, all while working from a remote location. Professionals in this role often use programming languages like Python and tools such as BeautifulSoup, Scrapy, or Selenium to gather and structure data for analysis or business use. The work may include identifying relevant data sources, handling anti-scraping measures, and ensuring compliance with legal guidelines. Data scraping specialists typically collaborate with data analysts or engineers to provide clean, organized datasets that support decision-making or business operations. Remote positions offer flexibility, allowing professionals to work from anywhere with a reliable internet connection.
More about Data Scraping Remote jobs
What cities are hiring for Data Scraping Remote jobs? Cities with the most Data Scraping Remote job openings:
What are the most commonly searched types of Data Scraping jobs? The most popular types of Data Scraping jobs are:
What states have the most Data Scraping Remote jobs? States with the most job openings for Data Scraping Remote jobs include:
What job categories do people searching Data Scraping Remote jobs look for? The top searched job categories for Data Scraping Remote jobs are:
Data Scraping Remote jobs near you
Infographic showing various Data Scraping Remote job openings in the United States as of June 2026, with employment types broken down into 64% Full Time, 29% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Brooklyn, NY • Remote

$45/hr

Part-time

Posted 3 days ago

Job description

Mindrift is looking for highly skilled Senior 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.

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 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.

Requirements:

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