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Web Data Scraping Jobs in California (NOW HIRING)

Firecrawl

Technical BDR

San Francisco, CA · On-site +1

$120K - $220K/yr

You can read code, use APIs, talk about web scraping, and understand what LLM-ready data means. You've built things - even if they're small. Urgency is your default setting. You don't wait for ...

Comtech, LLC

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.). * Work closely with our engineering team to integrate and build algorithms

Comtech, LLC

Data Engineer with Java & Scala

San Jose, CA

$134K - $161K/yr

... web scraping, calling APIs, write SQL queries, etc.). Work closely with our engineering team to integrate and build algorithms Process unstructured data into a form suitable for analysis - and then ...

Dascena

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

... of data collection. You will use a custom Python-based macro system and write HTML, text, and OCR parsers to interface with it. OCR and web-scraping experience required . This role can be remote.

Dascena

Integration Engineer

Oakland, CA · On-site

$119K - $160K/yr

... of data collection. You will use a custom Python-based macro system and write HTML, text, and OCR parsers to interface with it. OCR and web-scraping experience required . This role can be remote.

Clera

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping ... Familiarity with distributed systems, microservices, data pipelines, or cloud infrastructure (AWS ...

smart folks inc

Reporting Analyst

Cupertino, CA · On-site

... data, image scraping, RV scraping). * Drive harmonization discussions to align geo data to WW standards, and analyze web scraped data to make sense of it and determine appropriate harmonization ...

Clera

Founding TypeScript Engineer

San Francisco, CA

$150K - $220K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping ... Familiarity with distributed systems, microservices, data pipelines, or cloud infrastructure (AWS ...

Clera

Founding TypeScript Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping ... Familiarity with distributed systems, microservices, data pipelines, or cloud infrastructure (AWS ...

Clera

Founding Engineer

San Francisco, CA · On-site

$150K - $220K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping ... Familiarity with distributed systems, microservices, data pipelines, or cloud infrastructure (AWS ...

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All JobsWeb Data Scraping JobsWeb Data Scraping Jobs in California

Web Data Scraping information

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$10

$31

$67

How much do web data scraping jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for web data scraping in California is $31.86, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $41.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Web Data Scraping Specialist, and why are they important?

To thrive as a Web Data Scraping Specialist, you need strong programming skills (especially in Python), knowledge of web protocols, and familiarity with HTML, CSS, and JavaScript. Experience with tools like BeautifulSoup, Scrapy, Selenium, and understanding of APIs and data storage solutions are typically required. Problem-solving, attention to detail, and persistence are crucial soft skills for overcoming challenges like anti-scraping measures and complex site structures. These competencies ensure efficient, reliable extraction of valuable data while maintaining compliance and accuracy.

What is web data scraping?

Web data scraping is the process of automatically extracting information from websites using software tools or scripts. This technique allows users to collect large amounts of structured data from web pages, which can then be analyzed or used for various purposes such as market research, price monitoring, or content aggregation. Web data scraping is commonly used in industries that rely on real-time information and competitive analysis. However, it is important to respect website terms of service and copyright laws when scraping data.

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

AspectWeb Data ScrapingData Analyst
Primary RoleExtracting data from websites automaticallyInterpreting and analyzing data to inform business decisions
Skills RequiredProgramming, web technologies, data extraction toolsStatistical analysis, data visualization, Excel, SQL
Work EnvironmentTechnical, often in IT or data teamsBusiness, finance, marketing departments
Tools & TechnologiesPython, BeautifulSoup, ScrapyExcel, Tableau, R, SQL

Web Data Scraping focuses on automatically collecting data from websites using programming tools, while Data Analysts interpret and analyze data to support business strategies. Both roles require data handling skills but differ in technical focus and end goals.

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

One common challenge in web data scraping is dealing with websites that use anti-bot measures, such as CAPTCHAs and frequent layout changes. Adapting to these obstacles often requires creative problem-solving, such as implementing rotating proxies or using headless browsers to mimic human behavior. Additionally, maintaining data accuracy and handling large volumes of unstructured data are ongoing tasks, making strong organizational and scripting skills essential. Collaborating with data analysts and developers is also key to ensuring the scraped data meets project needs and quality standards.
What are the most commonly searched types of Web Data Scraping jobs in California? The most popular types of Web Data Scraping jobs in California are:
What are popular job titles related to Web Data Scraping jobs in California? For Web Data Scraping jobs in California, the most frequently searched job titles are:
What job categories do people searching Web Data Scraping jobs in California look for? The top searched job categories for Web Data Scraping jobs in California are:
Web Data Scraping jobs near you
Infographic showing various Web Data Scraping job openings in California as of June 2026, with employment types broken down into 14% Internship, 57% Full Time, and 29% Part Time. Highlights an 57% In-person, and 43% Remote job distribution, with an average salary of $66,265 per year, or $31.9 per hour.
Director of Software Engineering (Node.js & Web Scraping Expert)

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

PortPro

Los Angeles, CA • On-site, Remote

$272K/yr

Full-time

Posted 11 days ago

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 Repsonsibilities- 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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