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Web Scraping Jobs (NOW HIRING)

Ceartas

NY · On-site

$105K - $126K/yr

Design and develop web scraping systems that support large-scale web data extraction and brand protection workflows. * Ensure that data moves reliably from collection through processing to storage ...

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in developing Automations using Python language Core python skills covering: Variables and Data ...

Clera

Forward Deployed Engineer

New York, NY · On-site

$140K - $160K/yr

Partner directly with enterprise customers to understand and solve their web scraping and data extraction challenges. * Own customer requests from intake to delivery, ensuring high-quality outcomes ...

Dascena

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

OCR and web-scraping experience required . This role can be remote. Your presence at our Oakland, CA office location is not a requirement. Qualifications * Scripting Languages: Python * Scripting ...

Dascena

Integration Engineer

Oakland, CA · On-site

$119K - $160K/yr

OCR and web-scraping experience required . This role can be remote. Your presence at our Oakland, CA office location is not a requirement. Qualifications * Scripting Languages: Python * Scripting ...

WisEngineering

Data Identification & Web Scraping: Actively identify external and internal data gaps needed to train or ground the LLM. Write and maintain Python web-scraping scripts to safely harvest relevant web ...

Jobgether

Demonstrate practical approaches to solving web scraping, data extraction, API integration, and web data challenges. * Write technical articles for company blogs and relevant third-party publications.

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How much do web scraping jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for 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 web scraping?

Web scraping is the automated process of extracting data from websites. It involves using software tools or scripts to collect information from web pages, which can then be saved and analyzed for various purposes. Web scraping is commonly used for market research, price monitoring, data aggregation, and academic research. However, it's important to respect website terms of service and legal considerations when scraping data.

What are web scraping jobs?

Web scraping jobs involve using specialized software and web crawling tools to extract data from websites. This data is extracted for competitor analysis, market trends, pricing research, and other information that can help businesses improve their performance. As a data engineer, your responsibilities are to understand and use these tools or use manual techniques to collect information. Your duties also include creating or troubleshooting web scraping tools, analyzing the data you obtain, and passing the information on to the appropriate leaders of a company. You can find these positions with technology companies that offer web scraping services to clients.

What are the key skills and qualifications needed to thrive as a web scraping specialist, and why are they important?

To thrive as a Web Scraping Specialist, you need strong programming skills in languages like Python, knowledge of HTML/CSS, and an understanding of data extraction techniques. Familiarity with tools and frameworks such as BeautifulSoup, Scrapy, Selenium, and sometimes APIs or browser automation is typically required. Attention to detail, problem-solving, and ethical judgment are important soft skills that help navigate complex data sources and legal considerations. These skills ensure efficient, accurate, and compliant collection of large-scale data critical for analytics and business intelligence.

What are some common challenges faced by web scraping professionals, and how are they typically addressed?

Web scraping professionals often encounter challenges such as dealing with websites that use dynamic content loading, anti-scraping measures like CAPTCHAs, or frequent changes to site structure. To overcome these, they may use headless browsers, rotating proxies, and advanced parsing techniques to mimic human behavior and adapt quickly to site updates. Collaborating with legal and compliance teams is also important to ensure all data collection respects relevant laws and website terms of service.

What is the difference between Web Scraping vs Data Analyst?

AspectWeb ScrapingData Analyst
Required SkillsProgramming, data extraction, scriptingData interpretation, statistical analysis, visualization
Work EnvironmentTechnical, often remote, involves codingOffice or remote, involves analysis and reporting
Tools & TechnologiesPython, BeautifulSoup, ScrapyExcel, SQL, Tableau, R
Industry UsageData collection for research, marketing, SEOBusiness insights, reporting, decision-making

Web Scraping focuses on extracting data from websites using programming skills, while Data Analysts interpret and analyze data to generate insights. Both roles require analytical thinking but differ in technical focus and end goals.

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Web Scraping jobs near you
Infographic showing various Web Scraping job openings in the United States as of September 2026, with employment types broken down into 55% Full Time, 18% Part Time, and 27% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $122,736 per year, or $59 per hour.

Senior Data & Python Software Engineer

NY • On-site

Ceartas
See more jobs at Ceartasexternal

$105K - $126K/yr

Other

PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Key responsibilities

  • Design, build, and maintain high-performance web scraping systems and backend services supporting web data extraction and brand protection.

  • Handle cleaning of web data, ensure data quality, validation, and governance across ingestion, storage, and serving layers.

  • Monitor, debug, and improve scraping system reliability using observability tools, and take independent ownership of systems in production.

Job description

At Ceartas, we lead the way in AI-powered brand protection, copyright law, and digital security, safeguarding the integrity of content creators, brands, and enterprises worldwide. As we scale rapidly, we're looking for a Data & Python Software engineer to drive innovation in our data pipelines and crawling technologies. In this pivotal role, you'll collaborate with our CTO and Head of Engineering, steering our Data Engineering Team toward developing groundbreaking solutions for digital security challenges.

Build Scalable Web Data Extraction Pipelines:
  • Design and develop web scraping systems that support large-scale web data extraction and brand protection workflows.
  • Ensure that data moves reliably from collection through processing to storage while maintaining performance, resilience, and operational stability at scale.
Ensure Data Quality and Governance:
  • Own data validation, consistency, and governance across ingestion, storage, and serving layers.
  • Establish clear standards for schema design, transformation logic, and monitoring to guarantee trustworthy, production-grade datasets that can be reliably consumed across the organization.
Optimize Performance and Reliability:

Continuously improve scraping system efficiency through performance tuning, cost optimization, and architectural enhancements. Implement logging, metrics, and tracing to monitor production systems, diagnose issues quickly, and maintain high reliability under growing workloads.

Responsibilities:
  • Design, build, and maintain high-performance web scraping systems as well backend services and data pipelines supporting web data extraction and brand protection use cases
  • Implement and maintain scraping focused APIs and other data services that power internal products and external integrations
  • Build reliable ingestion, processing, and storage workflows for large-scale web data
  • Handle cleaning of web data and ensure data quality, validation, and governance across ingestion, storage, and serving layers
  • Optimize scraping systems for performance, scalability, reliability, and cost efficiency
  • Monitor, debug, and improve scraping system reliability using observability tools (logging, metrics, tracing)
  • Collaborate closely with product and engineering teams to deliver features from design through full end-to-end production deployment
  • Take independent ownership of systems in production, including maintenance, iteration and performance management
Core Technical Requirements:
  • Experience with web scraping
  • Strong SQL skills
  • Strong Python experience
  • Experience with PostgreSQL or similar relational databases
  • Experience designing and building scalable APIs and backend services (e.g. FastAPI, Django, or similar frameworks)
  • Experience designing efficient, scalable data models and database schemas
  • Hands‑on experience deploying and operating systems in the cloud (AWS, GCP, or Azure)
  • Experience working with Docker and containerized environments
Preferred Technical Requirements:
  • Experience with workflow orchestration tools such as Airflow
  • Experience with browser-based automation tools (Playwright, Selenium, or similar)
  • Experience with DBT or analytics‑focused data transformation workflows
  • Experience building or operating high‑concurrency systems and task queues
  • Experience designing and deploying cloud‑native workflows on AWS
  • Familiarity with CI/CD pipelines and production deployment practices
  • Experience working in a high‑growth, early‑stage startup environment
  • Experience - University education in a technical field such as Computer Science, Engineering or similar. Masters level preferred. 4+ years (or 2 year+ in a early stage startup)
What We Offer:
  • 25 paid days off per year, plus public holidays, and your birthday!
  • A culture of innovation, continuous learning, and collaboration.
  • A vibrant, inclusive workplace that celebrates diversity and equal opportunity.
  • Access to the latest technology
  • Employee recognition and reward programs.
  • Opportunity for growth within a fast-moving, forward-thinking startup.
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