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Scraping Jobs in California (NOW HIRING)

Infomatics corp

Researcher, AI/ML III

Mountain View, CA · On-site

... with web scraping and AI-Agent projects, preferably with a focus on natural language processing, accessibility and interaction on the web. - Understanding of HTML, CSS, and DOM is necessary for ...

Palace Casino Resort

Steward

Pala, CA · On-site

$15.25 - $20.75/hr

Maintain standards set by management in scraping, racking, stacking and washing of china and glassware. * Must understand and comply with all company and departmental policies, regulations, and ...

smart folks inc

Reporting Analyst

Cupertino, CA · On-site

Discuss and give requirements for new schema changes (new fields, scraping requirements, image scraping, etc.). * Surface and resolve data quality issues with the source data (missing scrapes, schema ...

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 ...

Dapi

Full Stack Developer

San Francisco, CA · On-site +1

Your primary focus will be developing, maintaining and supporting our novel in-house scraping automation engine. Our ideal candidate is one that can take up the challenge of maintaining Dapi ...

Dapi

Full Stack Developer

San Francisco, CA · On-site +1

Your primary focus will be developing, maintaining and supporting our novel in-house scraping automation engine. Our ideal candidate is one that can take up the challenge of maintaining Dapi ...

Clera

Staff Engineer

Los Angeles, CA · On-site

$250K - $300K/yr

Design, build, and operate core infrastructure including APIs, LLM-powered workflows, scraping systems, and large-scale knowledge graph architecture. * Architect and maintain production-grade systems ...

Tastelabs

AI Engineer (Back-end)

San Francisco, CA · On-site

$110 - $140/hr

Build crawling and scraping systems for visual data across the web * Set up inference serving and APIs for client‑facing products * Manage security sweeps vulnerability mapping * Develop the ...

Taste Labs

AI Engineer (Back-end)

San Francisco, CA · On-site

$100 - $130/hr

Build crawling and scraping systems for visual data across the web * Set up inference serving and APIs for client‑facing products * Manage security sweeps vulnerability mapping * Develop the ...

Holiday Inn Redding

Dishwasher

Redding, CA · On-site

$13.75 - $17.75/hr

In addition to unloading dirty dishes brought in by bussers, you will be scraping, sorting, and loading dishes into the dishwashing machine. Additional cleaning responsibilities may be assigned to ...

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All JobsScraping JobsScraping Jobs in California

Scraping information

See California salary details

$29.4K

$68.6K

$142.5K

How much do scraping jobs pay per year?

As of Aug 22, 2026, the average yearly pay for scraping in California is $68,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,554.00 and $76,379.00 per year, depending on experience, location, and employer.

What is the difference between Scraping vs Data Analyst?

AspectScrapingData Analyst
Required CredentialsBasic programming skills, knowledge of web technologiesDegree in statistics, mathematics, or related field; analytical skills
Work EnvironmentPrimarily technical, focused on coding and data extractionBusiness or corporate setting, analyzing data for insights
Employer & Industry UsageUsed across tech, marketing, research industries for data collectionUsed in finance, marketing, healthcare for data interpretation
Search & Comparison IntentUnderstanding data extraction methods, tools, and techniquesInterpreting data, generating reports, making data-driven decisions

While both roles involve working with data, Scraping focuses on extracting data from websites using programming skills, whereas Data Analysts interpret and analyze data to support business decisions. Scraping is more technical and coding-oriented, while Data Analysts require analytical and statistical expertise.

What is job scraping?

Job scraping involves using automated tools or scripts to collect job postings and related data from websites. It requires knowledge of programming languages like Python and familiarity with web scraping libraries such as BeautifulSoup or Scrapy, often to analyze market trends or compile job listings efficiently.

What are popular job titles related to Scraping jobs in California?

For Scraping jobs in California, the most frequently searched job titles are:

What job categories do people searching Scraping jobs in California look for?

The top searched job categories for Scraping jobs in California are:

What cities in California are hiring for Scraping jobs?

Cities in California with the most Scraping job openings:

Scraping jobs near you
Infographic showing various Scraping job openings in California as of August 2026, with employment types broken down into 77% Full Time, 14% Part Time, 2% Contract, 1% Nights, and 6% Summer. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $68,623 per year, or $33 per hour.

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

PortPro

Los Angeles, CA • On-site, Remote

$272K/yr

Full-time

Re-posted 20 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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