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Senior Web Scraping Jobs (NOW HIRING)

Mindrift

Senior Web Scraping Specialist (Python)

$45/hr

As a 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 ...

Circana

VP, AI Innovation (Web Scraping)

$230K - $236K/yr

Role Overview The SVP of AI Innovation - Web Scraping will lead the development and execution of Circana's AI-enabled web scraping capabilities. This role is critical to acquiring external data ...

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How much do senior web scraping jobs pay per year?

As of Jul 30, 2026, the average yearly pay for senior web scraping in the United States is $133,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $169,500.00 per year, depending on experience, location, and employer.

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

AspectSenior Web ScrapingData Engineer
CredentialsProficiency in programming, web technologies, and data extraction toolsDegree in Computer Science, Data Science, or related fields; experience with databases and ETL processes
Work EnvironmentProject-based, focused on developing and maintaining web scraping scriptsData pipelines, infrastructure, and large-scale data processing systems
Industry UsageUsed across tech, e-commerce, research, and marketing sectors for data collectionUsed in data-driven companies for data storage, transformation, and analysis
Search & Comparison IntentUnderstanding roles, skills, and responsibilities in web data extractionExploring data infrastructure, pipelines, and data management roles

While Senior Web Scraping specialists focus on extracting data from websites using programming skills, Data Engineers build and maintain the infrastructure for storing and processing large datasets. Both roles require technical expertise but serve different stages of data handling in organizations.

More about Senior Web Scraping jobs
What cities are hiring for Senior Web Scraping jobs? Cities with the most Senior Web Scraping job openings:
What are the most commonly searched types of Web Scraping jobs? The most popular types of Web Scraping jobs are:
What states have the most Senior Web Scraping jobs? States with the most job openings for Senior Web Scraping jobs include:
What job categories do people searching Senior Web Scraping jobs look for? The top searched job categories for Senior Web Scraping jobs are:
Senior Web Scraping jobs near you
Infographic showing various Senior Web Scraping job openings in the United States as of July 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $133,275 per year, or $64.1 per hour.

Senior Web Scraping Specialist (Python)

Mindrift

Remote

$45/hr

Part-time

Re-posted 5 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 Do
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 a 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 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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