2

Full Time Web Scraping Jobs (NOW HIRING)

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 on behalf of our client who is seeking a Web Scraping Specialist to join a specialized technical team ...

$88K - $106K/yr

Benefits: * Fully remote position with the flexibility to work from anywhere. * Full-time ... Opportunity to work on sophisticated web-scraping, data engineering, automation, and data-product ...

Contract/Full Time • Bachelors (IT/Computer Science Preferred); Master's Degree preferred ... web scraping, calling APIs, write SQL queries, etc.) • Excellent technical skills - able to ...

Contract/Full Time Bachelors (IT/Computer Science Preferred); Master's Degree preferred (IT/Compute ... web scraping, calling APIs, write SQL queries, etc.) Excellent technical skills - able to ...

next page

Showing results 1-20

Full Time Web Scraping information

See salary details

$11

$59

$86

How much do full time web scraping jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for full time web scraping in the United States is $59.01, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $66.83 per hour, depending on experience, location, and employer.

What is a full time web scraping job?

A Full Time Web Scraping job involves working as a data specialist or programmer who focuses on extracting information from websites using automated tools and scripts. The role typically includes designing, developing, and maintaining web scraping solutions to collect data at scale, ensuring compliance with legal and ethical standards. Responsibilities may also involve cleaning and organizing scraped data for use in analytics, business intelligence, or machine learning projects. Working full time in this field often requires proficiency in programming languages such as Python, familiarity with libraries like BeautifulSoup or Scrapy, and a good understanding of web protocols and data formats.

What are the key skills and qualifications needed to thrive as a full time web scraping specialist?

To thrive as a Full Time Web Scraping Specialist, you need strong programming skills (especially in Python), a deep understanding of data extraction techniques, and familiarity with web protocols and HTML/CSS. Experience with tools like BeautifulSoup, Scrapy, Selenium, and knowledge of APIs or database systems is typically required. Attention to detail, problem-solving abilities, and adaptability are crucial soft skills for navigating changing websites and complex data challenges. These skills ensure efficient, ethical, and reliable extraction of valuable data critical for business intelligence and automation.

What are some common challenges faced in a full time web scraping role and how can they be addressed?

In a full-time web scraping role, common challenges include handling websites with anti-bot measures, adapting to frequent site structure changes, and ensuring compliance with legal and ethical guidelines. Overcoming these obstacles typically involves staying updated with the latest scraping tools and techniques, using proxies or headless browsers to bypass restrictions, and maintaining clear communication with stakeholders about data requirements. Being proactive and adaptable is key, as websites often change their layouts or introduce new protections that require quick adjustments to scraping scripts.

What is the difference between Full Time Web Scraping vs Data Extraction Specialist?

AspectFull Time Web ScrapingData Extraction Specialist
CredentialsBasic programming skills, knowledge of web technologiesSimilar credentials, often with additional data management skills
Work EnvironmentTypically in tech companies, remote or office-basedSimilar environments, often in data-driven industries
Industry UsageCommon in tech, marketing, research sectorsUsed across various industries including finance, marketing, and research
Search & Comparison IntentUnderstanding job scope, skills, and requirementsComparing roles with similar data-focused tasks

Full Time Web Scraping and Data Extraction Specialist roles share many similarities in skills and work environment. However, Web Scraping typically emphasizes automated data collection from websites, while Data Extraction Specialists may handle broader data collection and processing tasks. Both roles are vital in data-driven industries and often require similar technical skills.

More about Full Time Web Scraping jobs

What cities are hiring for Full Time Web Scraping jobs?

Cities with the most Full Time Web Scraping job openings:

What are the most commonly searched types of Web Scraping jobs?

The most popular types of Web Scraping jobs are:

Infographic showing various Full Time Web Scraping job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 11% Part Time, 1% Temporary, and 7% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $122,736 per year, or $59 per hour.

Web Scraping Specialist

MLabs

New York, NY • Remote

$75K - $100K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Location: Remote with a 6 hour overlap with EST

Remote | Full-time

Compensation: $75K - $100K

We are hiring on behalf of our client who is seeking a Web Scraping Specialist to join a specialized technical team focused on building the infrastructure that delivers massive amounts of web data for the training of advanced AI models. This organization operates a massive distributed crawler and manages complex pipelines for ingesting, segmenting, and annotating billions of data points, including videos, transcripts, and audio files.

The successful candidate will lead efforts to gather and analyze data, optimize scraping processes, and support the scaling of high-quality public web data accessibility. This role is ideal for a lean, technical builder who thrives in a fast-paced environment without bureaucratic red tape.

Key Responsibilities:

  • Code Development: Write, test, and refine high-performance code to extract data from various online sources, ensuring maximum reliability and efficiency.
  • Data Retrieval: Manage complex data retrieval tasks, including handling pagination and dynamic content loaded via AJAX.
  • Data Quality: Clean and format extracted data to ensure it meets rigorous quality standards for downstream analysis and processing.
  • Database Management: Store and manage scraped data in appropriate databases, optimizing for both access speed and long-term data integrity.
  • Monitoring and Maintenance: Regularly monitor scraping processes and infrastructure to identify and resolve issues, ensuring a continuous and stable data flow.

Requirements

  • Extraction Expertise: Demonstrated ability to extract data from complex websites with minimal supervision, supported by a portfolio of past projects.
  • Technical Proficiency: Advanced skills in Python or JavaScript, specifically with libraries and frameworks such as BeautifulSoup, Scrapy, or Selenium.
  • Advanced Programming: Strong knowledge of asynchronous programming, multithreading, and distributed scraping architectures.
  • Web Fundamentals: In-depth knowledge of HTML, CSS, JavaScript, and the Document Object Model (DOM).
  • Data Storage: Experience with NoSQL databases (e.g., MongoDB, Cassandra), including the ability to design efficient storage solutions.
  • Cloud Infrastructure: Experience deploying and managing large-scale scraping jobs using cloud services such as AWS, Google Cloud, or Azure.
  • Preferred Skills: Ability to apply machine learning algorithms for data cleaning, categorization, or predictive analysis; active participation in relevant open-source projects.

Benefits

  • Competitive Compensation: A highly competitive salary ranging from $75,000 to $100,000, complemented by a comprehensive benefits and equity package.
  • Impactful Work: The opportunity to work at the forefront of AI development and web-scale knowledge graph creation.
  • High-Output Culture: A professional environment that prioritizes low ego, technical autonomy, and rapid execution.
  • Remote Flexibility: This is a remote position requiring a 6-hour overlap with the core team's schedule.


Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.