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Assistant Remote Python Web Scraping Jobs in Los Angeles, CA

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site +1

$144K - $194K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... You will take the helm of our existing Semantic Layer Web Service and lead its evolution into a ...

Fincons US

Full Stack Developer

Los Angeles, CA · On-site +1

This is a remote position supporting teams and stakeholders in the Los Angeles market. The Full ... web applications using Python, React, and AWS while collaborating closely with technical and ...

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Assistant Remote Python Web Scraping information

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$12

$22

$37

How much do assistant remote python web scraping jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for assistant remote python web scraping in Los Angeles, CA is $22.96, according to ZipRecruiter salary data. Most workers in this role earn between $18.65 and $26.44 per hour, depending on experience, location, and employer.

What does an assistant remote Python web scraping professional do?

An Assistant Remote Python Web Scraping professional helps collect data from websites by writing and maintaining Python scripts to extract, process, and organize information. They typically work remotely, supporting data-driven projects by automating the retrieval of web content. Their responsibilities may include identifying data sources, ensuring compliance with site policies, cleaning data, and assisting senior developers with more complex scraping tasks.

What are the key skills and qualifications needed to thrive as an assistant remote Python web scraping professional?

To thrive as an Assistant Remote Python Web Scraping specialist, you need proficiency in Python programming, familiarity with web scraping techniques, and a basic understanding of HTML, CSS, and HTTP protocols. Experience with tools like BeautifulSoup, Scrapy, Selenium, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this remote, collaborative role. These skills and qualities are essential for efficiently extracting accurate data, troubleshooting challenges, and ensuring legal and ethical data handling.

What are some common challenges faced by an assistant remote Python web scraping professional and how can they be addressed?

Assistant Remote Python Web Scraping professionals often encounter challenges such as handling anti-bot measures, managing large volumes of data, and ensuring data accuracy. Overcoming these obstacles may involve using rotating proxies, implementing robust error handling, and adopting efficient data storage solutions. Collaboration with project managers and data analysts is also essential to clarify data requirements and maintain compliance with website policies. Continuous learning about new scraping tools and techniques can help you stay effective in this dynamic field.

What is the difference between Assistant Remote Python Web Scraping vs Data Analyst?

AspectAssistant Remote Python Web ScrapingData Analyst
Required SkillsPython, web scraping, data extractionData analysis, SQL, Excel, visualization
Work EnvironmentRemote, technical, project-basedRemote or on-site, analytical, report-focused
Industry UsageTech, e-commerce, researchFinance, marketing, healthcare

Assistant Remote Python Web Scraping involves extracting data from websites using Python, focusing on technical skills. Data Analysts interpret and visualize data to support decision-making. While both roles may work remotely and require analytical thinking, the former emphasizes programming and data extraction, whereas the latter centers on data interpretation and reporting.

What are the most commonly searched types of Remote Python Web Scraping jobs in Los Angeles, CA?

The most popular types of Remote Python Web Scraping jobs in Los Angeles, CA are:

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For Assistant Remote Python Web Scraping jobs in Los Angeles, CA, the most frequently searched job titles are:

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The top searched job categories for Assistant Remote Python Web Scraping jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Assistant Remote Python Web Scraping jobs?

Cities near Los Angeles, CA with the most Assistant Remote Python Web Scraping job openings:

Assistant Remote Python Web Scraping jobs near you

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

PortPro

Los Angeles, CA • Remote

$259K/yr

Full-time

Re-posted 4 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.