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Web Scraping Engineer Jobs (NOW HIRING)

Circana

VP, AI Innovation (Web Scraping)

$230K - $236K/yr

Partner with product, engineering, and analytics teams to deliver data assets for new services (e.g ... Requirements - Proven experience in web scraping and data acquisition at scale, with demonstrated ...

Inizio Partners

AI Engineer

New York, NY · On-site

$150K - $175K/yr

Build web-scraping pipelines to gather external ratings and risk data, implementing fuzzy matching logic to reconcile customer identities. * Optimization: Implement Azure AI Foundry for model ...

Dascena

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

We need a skilled engineer to integrate our products with new hospital systems. Electronic health ... OCR and web-scraping experience required . This role can be remote. Your presence at our Oakland ...

Dascena

Integration Engineer

Oakland, CA · On-site

$119K - $160K/yr

We need a skilled engineer to integrate our products with new hospital systems. Electronic health ... OCR and web-scraping experience required . This role can be remote. Your presence at our Oakland ...

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

Hi, Job Title: - Python Automation Developer Location: - Renton, WA / Everett, WA Full-time ... FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in ...

Hire Hangar

Data Engineer

Elkridge, MD · On-site

$160K - $200K/yr

... and optimize web scraping and crawler infrastructure to support continuous data collection ... engineering environment with evolving priorities - Must be authorized to work in the United States ...

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Web Scraping Engineer information

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$59

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How much do web scraping engineer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for web scraping engineer 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 are the key skills and qualifications needed to thrive as a Web Scraping Engineer, and why are they important?

To thrive as a Web Scraping Engineer, you need strong programming skills (especially in Python), knowledge of data extraction techniques, and familiarity with web protocols and HTML structure. Expertise with tools like Scrapy, BeautifulSoup, Selenium, and experience with APIs or anti-bot evasion techniques is typically required. Attention to detail, problem-solving, and strong analytical thinking are essential soft skills in this field. These skills ensure efficient, ethical, and reliable extraction of data from diverse web sources while navigating technical and legal complexities.

What does a Web Scraping Engineer do?

A Web Scraping Engineer designs and develops software tools or scripts to automatically extract data from websites. They work with programming languages like Python and use libraries such as BeautifulSoup or Scrapy to gather and process web data efficiently. In addition to building scrapers, they also handle challenges such as dealing with website restrictions, CAPTCHAs, and ensuring compliance with legal and ethical guidelines. Their work is often used for market research, data analysis, or feeding information into business applications.

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

AspectWeb Scraping EngineerData Engineer
Primary FocusDeveloping and maintaining web scraping tools to extract data from websitesBuilding and managing data pipelines and infrastructure for data storage and processing
Skills & CertificationsPython, APIs, HTML, CSS, web scraping libraries (BeautifulSoup, Scrapy)SQL, ETL tools, cloud platforms, programming (Python, Java)
Work EnvironmentTech companies, data-driven startups, research projectsLarge enterprises, data warehouses, cloud environments
Industry UsageData collection for analytics, research, competitive analysisData integration, analytics, machine learning pipelines

While both roles involve working with data, a Web Scraping Engineer specializes in extracting data from websites using scraping tools, whereas a Data Engineer focuses on building data pipelines and infrastructure for storing and processing large datasets. The roles often overlap in skills like Python programming but serve different core functions within data ecosystems.

What are some common challenges faced by Web Scraping Engineers when extracting data from dynamic websites?

Web Scraping Engineers often encounter challenges such as navigating websites that use JavaScript to load content dynamically, dealing with anti-bot measures like CAPTCHAs or IP blocking, and ensuring data accuracy as website structures frequently change. To address these issues, engineers typically use headless browsers, rotating proxies, and robust error handling strategies. Staying up-to-date with the latest web technologies and adapting scripts proactively are essential for long-term success in this role.
More about Web Scraping Engineer jobs
What cities are hiring for Web Scraping Engineer jobs? Cities with the most Web Scraping Engineer job openings:
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What job categories do people searching Web Scraping Engineer jobs look for? The top searched job categories for Web Scraping Engineer jobs are:
Web Scraping Engineer jobs near you
Infographic showing various Web Scraping Engineer job openings in the United States as of July 2026, with employment types broken down into 61% Full Time, 31% Part Time, and 8% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $122,736 per year, or $59 per hour.

Director of Software Engineering (Node.js & Web Scraping Expert) (Los Angeles)

Roman Health Pharmacy LLC

Los Angeles, CA • On-site

$272K/yr

Full-time

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

Job description

We are seeking a Director of Software Engineering with deep expertise in Node.js development and large‑scale web scraping. This role will lead the engineering team, designing and optimizing high‑performance, distributed web scraping systems. The ideal candidate has extensive experience in handling anti‑bot measures, data pipeline optimization, and scalable cloud‑based architectures.

Key Responsibilities – Software Engineering & Web Scraping Leadership
  • Architect, develop, and maintain scalable and distributed web scraping systems using Node.js.
  • Design and implement data extraction pipelines to process large volumes of structured and unstructured data.
  • Develop solutions to bypass anti‑bot mechanisms, including CAPTCHA handling, session management, fingerprinting, and IP rotation.
  • Optimize scraping processes for performance, reliability, and efficiency while managing proxy services (residential, datacenter, rotating). Oversee data storage and processing strategies, ensuring high availability and consistency.
  • Collaborate with Product, DevOps, and Data Science teams to integrate extracted data into analytics and business applications.
  • Implement best practices for microservices, API integrations, and real‑time data streaming.
Key Responsibilities – Scalability, Security & DevOps
  • Lead the transition to cloud‑native, containerized, and serverless architectures for web scraping.
  • Ensure compliance with legal and ethical standards (robots.txt, GDPR, CCPA, etc.). Optimize cloud resources (AWS, GCP, or Azure) to support high‑throughput scraping.
  • Manage real‑time monitoring and alerting systems to detect scraping failures, IP bans, or performance bottlenecks.
  • Work closely with DevOps teams to optimize CI/CD pipelines, automated deployments, and system scalability.
Key Resposnibilities – Engineering Team Management & Strategy
  • Lead, mentor, and grow a high‑performance engineering team.
  • Define and execute the technology roadmap, aligning with business objectives.
  • Foster a culture of continuous learning, collaboration, and innovation.
  • Implement agile development methodologies (Scrum, Kanban) to optimize project execution.
  • Ensure code quality, security, and best practices across all engineering efforts.
Qualifications & Experience – Technical Expertise
  • 10+ years of experience in software engineering, with at least 5+ years in web scraping and large‑scale data extraction.
  • Strong hands‑on expertise in Node.js, Puppeteer, Playwright, Cheerio, Selenium, and headless browser automation.
  • Extensive experience in handling CAPTCHAs, IP rotation, session management, and anti‑bot evasion techniques.
  • Deep knowledge of proxy management (residential, datacenter, rotating, and VPNs). Experience with NoSQL/SQL databases (MongoDB, PostgreSQL, Redis, Elasticsearch, etc.).
  • Familiarity with data processing frameworks (Kafka, RabbitMQ, Spark, Airflow, etc.) Strong experience with CI/CD, containerization (Docker, Kubernetes), and cloud deployment (AWS/GCP/Azure).
Qualifications & Experience – Leadership & Soft Skills
  • Proven track record of scaling engineering teams and leading complex projects.
  • Strong problem‑solving and debugging skills, especially for scraping challenges and performance bottlenecks.
  • Excellent communication and stakeholder management skills.
  • Passion for mentorship, team development, and continuous learning.
Preferred Qualifications
  • Experience with machine learning for data extraction and NLP.
  • Knowledge of browser fingerprinting and bot detection mechanisms.
  • Familiarity with enterprise‑scale web crawling frameworks (Scrapy, Colly, Apify, etc.).
  • Prior leadership experience in data‑driven businesses or web scraping startups.
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