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Web Scraping Engineer Jobs (NOW HIRING)

... Engineer to build core agent infrastructure and help scale the platform toward a Series A milestone ... Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping ...

... Engineer to build core agent infrastructure and help scale the platform toward a Series A milestone ... Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping ...

... Engineer to build core agent infrastructure and help scale the platform toward a Series A milestone ... Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping ...

Software Engineer III

Reston, VA · On-site +1

$59.75 - $80.25/hr

We are looking for a Senior Python Engineer with a "hacker" mindset to join our team as a Software Engineer III. This role is dedicated to large-scale web scraping and data harvesting. If you have ...

Senior PHP Software Engineer

New York, NY · On-site

$140K - $160K/yr

You'll partner with engineering leaders, product managers, and stakeholders to design, build, and ... Come up with solutions for improvements on web-scraping methods * Enable and build upon mission ...

$68 - $87.25/hr

... engineering, and applied AI. Your primary focus will be supporting locally hosted Large Language Models (LLMs), identifying and scraping web data to enrich these models, performing system ...

... in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. * Python proficiency: Demonstrated ability to write functional scripts for data analysis, web scraping ...

... in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. * Python proficiency: Demonstrated ability to write functional scripts for data analysis, web scraping ...

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Web Scraping Engineer information

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$11

$59

$86

How much do web scraping engineer jobs pay per hour?

As of Jun 18, 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:
What states have the most Web Scraping Engineer jobs? States with the most job openings for Web Scraping Engineer jobs include:
What job categories do people searching Web Scraping Engineer jobs look for? The top searched job categories for Web Scraping Engineer jobs are:
Infographic showing various Web Scraping Engineer job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $122,736 per year, or $59 per hour.

Founding TypeScript Engineer

Clera

San Francisco, CA • On-site

$150K - $220K/yr

Full-time

Posted 10 days ago


Job description

About the Role
A seed-funded B2B SaaS startup in the people-data and AI agents space is looking for a high-agency Founding Engineer to build core agent infrastructure and help scale the platform toward a Series A milestone. You'll work directly with the founding team - including the CEO and CTO - owning critical systems that power a people-data and agent platform used by developers and enterprises alike. This is a rare opportunity to shape technical strategy from the ground up at a fast-growing, well-backed startup.
What You'll Do
  • Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph architecture.
  • Architect and maintain production-grade systems capable of handling millions of API requests, with a strong focus on performance, cost efficiency, and reliability across cloud and Linux server environments.
  • Own projects end-to-end - from ambiguous problem definition through deployment and iteration - shipping quickly without sacrificing system integrity.
  • Collaborate directly with the CEO and CTO on technical decisions, roadmap priorities, and foundational architectural choices that define long-term direction.
  • Contribute broadly across the stack, including developer documentation, technical tutorials, internal tooling, and experimental builds that showcase and stress-test APIs.
What We're Looking For
Required:
  • 2+ years of experience in full-stack or backend software engineering.
  • Proficiency in JavaScript and TypeScript.
  • Experience with agent orchestration, LLMs, or web scraping.
  • Experience working with Linux servers in a production environment.
  • Proven track record of shipping code to production supporting a large user base.
  • Experience building entire products end-to-end, not just isolated features.
  • Strong computer science fundamentals.
  • Must be authorized to work in the United States - visa sponsorship is not available.
  • Must be available to work on-site in San Francisco 5 days per week; relocation is required.

Nice to Have:
  • Previous experience as a founder or early-stage engineer at a startup.
  • Familiarity with distributed systems, microservices, data pipelines, or cloud infrastructure (AWS/GCP).
Compensation & Benefits
  • Salary: $150,000 - $220,000 USD annually, depending on experience.
  • Equity participation as a founding team member.
Location
  • San Francisco, CA - fully on-site, 5 days per week.
  • Relocation to San Francisco is required for this role.
  • No visa sponsorship available; must be authorized to work in the United States.