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Contractual Python Web Scraping Jobs (NOW HIRING)

CTC

Web Scraping Engineer- 3566726

Arlington, VA · On-site +1

$105K - $110K/yr

Proficiency in Python and Java and experience with web scraping libraries such as BeautifulSoup, Scrapy, or Selenium. * Knowledge of AI/machine learning techniques for data extraction and ...

10a Labs

Data Engineer, Web Scraping

$117.20K - $140.70K/yr

... Python, SQL • Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) • Experience with Google Cloud Platform (or similar), including storage and database services (e.g ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Proficiency in Python, SQL * Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) * Experience with Google Cloud Platform (or similar), including storage and database ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · On-site

$105K - $125K/yr

Proficiency in Python, SQL * Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) * Experience with Google Cloud Platform (or similar), including storage and database ...

WisEngineering

$68 - $87.25/hr

Write and maintain Python web-scraping scripts to safely harvest relevant web data. * Data Modeling and Analytics: Create and maintain data models to support analytics and reporting needs, ensuring ...

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How much do contractual python web scraping jobs pay per hour?

As of May 29, 2026, the average hourly pay for contractual python web scraping in the United States is $57.88, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $62.50 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contractual Python Web Scraping specialist, and why are they important?

To thrive as a Contractual Python Web Scraping specialist, you need strong proficiency in Python programming, web scraping libraries like BeautifulSoup and Scrapy, and a solid understanding of HTML, CSS, and HTTP protocols. Familiarity with version control systems (e.g., Git), API usage, and cloud platforms is often required, along with experience in handling data storage formats like JSON or CSV. Attention to detail, problem-solving skills, and effective communication are vital soft skills for interpreting client requirements and overcoming scraping challenges. These skills ensure accurate data extraction, reliable project delivery, and successful collaboration with clients or teams.

What are some common challenges faced in a contractual Python web scraping role, and how can job seekers prepare for them?

In a contractual Python web scraping role, professionals often encounter challenges such as dealing with websites that implement anti-scraping measures, handling frequent changes in website structures, and managing large volumes of data efficiently. To prepare, job seekers should familiarize themselves with tools like Selenium, BeautifulSoup, and Scrapy, as well as techniques for rotating proxies and handling CAPTCHAs. Staying up to date with legal and ethical considerations regarding web scraping is also crucial. Proactive communication with clients to clarify project requirements and timelines can further help ensure successful project delivery.

What are Contractual Python Web Scraping jobs?

Contractual Python Web Scraping jobs involve hiring professionals on a temporary or project basis to extract data from websites using the Python programming language. These jobs typically require knowledge of Python libraries such as BeautifulSoup, Scrapy, or Selenium to automate the process of collecting and processing web data. Contractual roles are ideal for companies or individuals who need specific data sets or one-time scraping projects completed efficiently, without committing to a long-term hire.

What is the difference between Contractual Python Web Scraping vs Contractual Data Analyst?

AspectContractual Python Web ScrapingContractual Data Analyst
Required SkillsPython, web scraping libraries, data extractionData analysis, SQL, Excel, visualization tools
Work EnvironmentProject-based, remote or on-site, technical focusBusiness-focused, collaborative, reporting-oriented
Industry UsageWeb data collection, market research, e-commerceBusiness intelligence, marketing, finance

Contractual Python Web Scraping specialists focus on extracting data from websites using Python, while Contractual Data Analysts interpret and analyze data to support business decisions. Both roles often collaborate but differ in technical skills and primary responsibilities.

More about Contractual Python Web Scraping jobs
What cities are hiring for Contractual Python Web Scraping jobs? Cities with the most Contractual Python Web Scraping job openings:
What are the most commonly searched types of Python Web Scraping jobs? The most popular types of Python Web Scraping jobs are:
What states have the most Contractual Python Web Scraping jobs? States with the most job openings for Contractual Python Web Scraping jobs include:
What job categories do people searching Contractual Python Web Scraping jobs look for? The top searched job categories for Contractual Python Web Scraping jobs are:
Contractual Python Web Scraping jobs near you
Infographic showing various Contractual Python Web Scraping job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 95% Physical, and 5% Hybrid job distribution, with an average salary of $120,397 per year, or $57.9 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Dallas, TX • Remote

$45/hr

Part-time

Posted 2 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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