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Data Scraping Jobs (NOW HIRING)

Manage external data supplier and partnership relationships - including premium data providers, data scraping services, and licensing agreements - evaluating, negotiating, and integrating third-party ...

Our predictive analytics and Liquid Data ® platform help clients measure market share, uncover ... Role Overview The SVP of AI Innovation - Web Scraping will lead the development and execution of ...

Implement data scraping, enrichment, and segmentation strategies to target ideal customer profiles. * Create and maintain automated processes for updating and cleansing lead database. * Work closely ...

Cloud Solutions Engineer SME

Augusta, GA · On-site

$146K - $234K/yr

Requires the ability to maintain the network route and pro-grammatically switch for different data scraping tasks. * Active TS/SCI with a Polygraph or the ability to obtain Polygraph and MEAD ...

Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing). * Design dashboards and APIs ...

Implement data scraping, enrichment, and segmentation strategies to target ideal customer profiles. * Create and maintain automated processes for updating and cleansing lead database. * Work closely ...

Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing). * Design dashboards and APIs ...

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Data Scraping information

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How much do data scraping jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for data scraping in the United States is $29.83, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $36.54 per hour, depending on experience, location, and employer.

Will AI replace web scraping?

AI can automate and enhance web scraping tasks by improving data extraction accuracy and handling complex websites. However, human oversight remains important for managing ethical considerations, adapting to website changes, and ensuring data quality, so AI is more likely to augment than fully replace web scraping jobs.

How much do you get paid for data scraping?

Data scraping jobs typically pay between $15 and $50 per hour, depending on experience, complexity of the project, and the tools used. Freelance data scrapers may charge per project or per data volume, with rates varying accordingly.

What are the typical challenges faced in a Data Scraping role, and how are they addressed?

Data Scraping professionals often encounter challenges such as dealing with anti-scraping measures, frequent changes to website structures, and managing large volumes of unstructured data. These obstacles require adaptability and creative problem-solving, as well as continuous learning to update scripts and leverage the latest tools. Team collaboration is common—data scrapers may work closely with data analysts, engineers, or business stakeholders to ensure the data collected meets the project's needs. Proactively communicating and staying current with industry best practices helps data scraping specialists efficiently navigate these challenges and deliver high-quality results.

What is a Data Scraping job?

A Data Scraping job involves extracting structured data from websites or online sources using automated tools or scripts. This data is then used for various purposes, such as market research, competitive analysis, or business intelligence. Professionals in this field typically use programming languages like Python or tools like Scrapy and BeautifulSoup to collect and organize data efficiently. However, ethical considerations and legal guidelines must be followed to ensure compliance with website policies and data protection laws.

What is a data scraping job?

A data scraping job involves writing scripts or using tools to extract information from websites or online sources. It requires knowledge of programming languages like Python or JavaScript, and understanding of web structures and APIs to collect data efficiently and accurately.

Is data scraping profitable?

Data scraping as a job can be profitable depending on the industry, complexity of the data, and the skill level required. Skilled data scrapers who use tools like Python, BeautifulSoup, or Scrapy and understand legal considerations can command higher rates or salaries. Profitability also depends on the demand for data and the ability to deliver accurate, timely results efficiently.

What are the key skills and qualifications needed to thrive in the Data Scraping position, and why are they important?

To excel in Data Scraping, proficiency in programming languages such as Python or JavaScript, familiarity with web protocols, and understanding of data extraction methodologies are essential, often supported by a degree in computer science or a related field. Experience with web scraping tools like BeautifulSoup, Scrapy, or Selenium, and knowledge of APIs are commonly required; relevant certifications in data analysis or automation can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help professionals successfully tackle complex data challenges and collaborate with teams. These competencies are vital to reliably gather, process, and deliver valuable data while adhering to legal and ethical standards.

More about Data Scraping jobs
What cities are hiring for Data Scraping jobs? Cities with the most Data Scraping job openings:
What are the most commonly searched types of Data Scraping jobs? The most popular types of Data Scraping jobs are:
What states have the most Data Scraping jobs? States with the most job openings for Data Scraping jobs include:
Infographic showing various Data Scraping job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 2% Full Time, 1% Part Time, 12% Temporary, and 81% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $62,045 per year, or $29.8 per hour.

Web Scraping Engineer (U.S. Citizen - Active Secret Clearance)

Join Our Team

Fulton, MD • On-site

$95K - $105K/yr

Full-time

Posted 15 days ago


Job description

Description:

NOTE: This is a full-time employment opportunity (No C2C, subcontractor or 1099 engagements, please.). The candidate MUST be a U.S. Citizen and have an active secret clearance. This is a remote opportunity - candidate must reside in the United States.


Daily Responsibilities

  • Position supports the development and maintenance of the agency’s web scraping infrastructure. The position is responsible for extracting data from various websites and APIs, ensuring data quality and accuracy, and optimizing the scraping process for efficiency. Duties include:
  • Develop and maintain web scraping scripts and tools to extract data from websites and APIs.
  • Collaborate with cross-functional teams to understand data requirements and implement scraping solutions accordingly.
  • Monitor and troubleshoot scraping processes to ensure data quality and accuracy.
  • Optimize scraping scripts for performance and efficiency, considering factors such as speed, scalability, and resource utilization.
  • Stay up to date with the latest web scraping techniques, tools, and best practices.
  • Conduct data analysis and validation to ensure the integrity of scraped data.
  • Collaborate with data engineering and data science teams to integrate scraped data into our data pipelines and systems.
  • Document and communicate technical solutions, processes, and best practices to team members.
Requirements:
  • Must be a U.S. Citizen (no dual status) as mandated by our government client.
  • Must have an active secret clearance.
  • Must reside in the United States.
  • 3+ years of professional experience in web scraping or a similar role.
  • Proficiency in Python and Java and experience with web scraping libraries such as Beautiful Soup, Scrapy, or Selenium.
  • Knowledge of AI/machine learning techniques for data extraction and classification.
  • Understanding of HTML, CSS, and JavaScript to navigate and interact with websites.
  • Experience working with APIs and handling different data formats (JSON, XML, etc.).
  • Familiarity with database systems and SQL for data storage and retrieval.
  • Familiarity of data cleaning and preprocessing techniques to ensure data quality.
  • Strong problem-solving skills and ability to troubleshoot and debug scraping issues.
  • Excellent communication and collaboration skills to work effectively in a team environment.
  • Attention to detail and ability to handle large volumes of data efficiently.
  • BS/BA degree in Computer Science, Information Sciences, or related IT discipline. Additional years of related professional experience can be substituted for a BS/BA degree.


Additional Qualifications (a PLUS):

  • Experience with cloud platforms for scalable web scraping infrastructure.
  • Familiarity with data visualization tools and techniques.
  • Understanding of legal and ethical considerations related to web scraping.

Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, location, and other business and organizational needs.