2

Senior Specialist Remote Python Web Scraping Jobs

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical ...

... remote opportunity is ideal for technical professionals with hands-on experience in web scraping ... What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.

next page

Showing results 1-20

Senior Specialist Remote Python Web Scraping information

See salary details

$55K

$142K

$195K

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

As of Jun 30, 2026, the average yearly pay for senior specialist remote python web scraping in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.

Is Python or C# better for web scraping?

For a Senior Specialist in Remote Python Web Scraping roles, Python is generally preferred due to its extensive libraries like BeautifulSoup and Scrapy, which simplify web scraping tasks. C# can also be used but is less common and may require more setup; Python's ease of use and community support make it the standard choice for web scraping projects.

What is the salary of Python remote job?

The salary for a remote Senior Specialist in Python web scraping typically ranges from $70,000 to $130,000 annually, depending on experience, location, and company size. Skilled professionals with expertise in web scraping tools like BeautifulSoup or Scrapy and knowledge of APIs tend to earn higher salaries in this field.

What is the future of web scraping?

For a Senior Specialist in Remote Python Web Scraping, the future of web scraping involves increased use of automation, machine learning, and advanced data extraction tools to handle dynamic websites and large-scale data collection. Skills in handling anti-scraping measures and staying compliant with legal and ethical standards will remain essential as websites implement more sophisticated protections.

What is the difference between Senior Specialist Remote Python Web Scraping vs Data Engineer?

AspectSenior Specialist Remote Python Web ScrapingData Engineer
Required CredentialsBachelor's in CS or related, Python expertise, web scraping experienceBachelor's or higher in CS, Data Science, or related, Python and database skills
Work EnvironmentRemote, project-based, focused on web data extractionRemote or on-site, infrastructure and data pipeline development
Industry UsageWeb scraping, data collection, market researchData management, ETL processes, analytics
Common Search/ComparisonYesYes

The Senior Specialist Remote Python Web Scraping focuses on extracting data from websites using Python, often for research or market analysis. Data Engineers build and maintain data pipelines and infrastructure to process large datasets. While both roles require Python skills and work in data-related fields, Web Scraping specialists concentrate on data collection, whereas Data Engineers focus on data storage and processing infrastructure.

What is the salary of a data scraper specialist?

A Senior Specialist in Python web scraping typically earns between $70,000 and $120,000 annually, depending on experience, location, and company size. Skills in data extraction, scripting, and familiarity with tools like BeautifulSoup or Scrapy can influence salary levels.
More about Senior Specialist Remote Python Web Scraping jobs
What cities are hiring for Senior Specialist Remote Python Web Scraping jobs? Cities with the most Senior Specialist Remote Python Web Scraping job openings:
What states have the most Senior Specialist Remote Python Web Scraping jobs? States with the most job openings for Senior Specialist Remote Python Web Scraping jobs include:
Infographic showing various Senior Specialist Remote Python Web Scraping job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

Senior Web Scraping Specialist (Python)

Mindrift

Remote

$45/hr

Part-time

Posted 4 days ago


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.

  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.


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.