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Anti Scraping Jobs (NOW HIRING)

Prepare vessel surfaces for painting through washing, sanding, grinding, scraping, blasting, and other surface preparation methods. * Apply primers, epoxy coatings, urethanes, anti-fouling paints ...

Commercial Painter

Yonkers, NY ยท On-site

$21 - $27/hr

... and anti-corrosion. In addition to painting commercial buildings, you may be asked to assist with ... scraping, filling holes, and washing walls to remove old paint and prepare surfaces. The painting ...

Commercial Painter

New York, NY

$21.50 - $27.50/hr

... and anti-corrosion. In addition to painting commercial buildings, you may be asked to assist with ... scraping, filling holes, and washing walls to remove old paint and prepare surfaces. The painting ...

... and anti-corrosion. In addition to painting commercial buildings, you may be asked to assist with ... scraping, filling holes, and washing walls to remove old paint and prepare surfaces. The painting ...

... scraping (Scrapy or similar). * Experience in extracting structured/unstructured web data and SERP extraction. * Knowledge of proxy infrastructure management, anti-bot detection, and ethical crawling.

Showing results 21-40

Anti Scraping information

What are the key skills and qualifications needed to thrive as an anti-scraping specialist, and why are they important?

To thrive as an Anti-Scraping Specialist, you need expertise in web security, programming (often Python or JavaScript), and a strong understanding of HTTP protocols and web application architectures. Familiarity with tools and systems such as WAFs (Web Application Firewalls), bot detection platforms, and security frameworks, as well as relevant certifications like CEH (Certified Ethical Hacker), is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for identifying threats and collaborating with cross-functional teams. These skills ensure the protection of digital assets, maintain service integrity, and help organizations stay ahead of evolving automated threats.

What are some common challenges faced by professionals in anti-scraping roles, and how do teams typically address them?

Professionals in anti-scraping roles often encounter challenges such as distinguishing between legitimate user traffic and sophisticated automated bots, as well as keeping up with rapidly evolving scraping techniques. Teams usually address these issues by implementing a combination of technical measures, including rate limiting, CAPTCHA tests, behavioral analysis, and monitoring unusual activity. Collaboration with development, security, and analytics teams is common to ensure solutions are both effective and minimally disruptive to genuine users. Ongoing learning and adapting to new threat vectors are essential parts of the job, providing opportunities for professional growth in cybersecurity and data protection.

What is anti scraping?

Anti scraping refers to the techniques and technologies used to prevent automated bots or programs from extracting large amounts of data from websites without permission. These methods help protect proprietary content, maintain server performance, and reduce the risk of data theft or misuse. Common anti scraping measures include CAPTCHAs, rate limiting, IP blocking, and obfuscation of web page elements. Organizations implement anti scraping solutions to safeguard sensitive information and ensure fair use of their digital resources.

What is the difference between Anti Scraping vs Data Analyst?

AspectAnti ScrapingData Analyst
Required CredentialsTechnical knowledge of web protocols, cybersecurity, and scriptingDegree in statistics, mathematics, or related field; analytical skills
Work EnvironmentIT security teams, cybersecurity departmentsBusiness intelligence, data analysis teams
Industry UsageWebsites, e-commerce, online servicesFinance, marketing, healthcare, research
Common Search IntentProtecting data from scrapingInterpreting data to inform decisions

Anti Scraping specialists focus on preventing unauthorized data extraction from websites, utilizing cybersecurity measures. Data Analysts interpret and analyze data to support business strategies. While both roles involve data, Anti Scraping is security-focused, whereas Data Analysts are insight-driven.

More about Anti Scraping jobs
What job categories do people searching Anti Scraping jobs look for? The top searched job categories for Anti Scraping jobs are:
Infographic showing various Anti Scraping job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

New York, NY โ€ข Remote

$45/hr

Part-time

Re-posted 13 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 Doย 

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 aย 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 expectationsย 

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.

Compensationย 

On this project, contributors can earn up toย $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.