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Python Scraping Jobs in California (NOW HIRING)

JD.com

Anti-scraping Security Expert

Encino, CA · On-site

$18.25 - $21/hr

Job Title Anti-scraping Security Expert JD.com is seeking a highly skilled and experienced Anti ... Proficient in forward and reverse JavaScript development, Python scripting, as well as packet ...

New

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

Proficiency in Python, SQL * Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy) * Experience with Google Cloud Platform (or similar), including storage and database ...

Dascena

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

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. Your presence at our ...

Dascena

Integration Engineer

Oakland, CA · On-site

$119K - $160K/yr

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. Your presence at our ...

Momento USA LLC

... Python, Node). * Extract and integrate data from various sources, such as databases, APIs, web scraping, etc. * Communicate findings and recommendations to stakeholders using clear and concise ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Comtech, LLC

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... Python and Scala * With Spark and Machine Learning (3+) * Data mining, Data analysis Roles and Responsibilities: * Gather and process raw data at scale (including writing scripts, web scraping ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow ... Experience with web scraping and cleaning unstructured data * Knowledge of data science and machine ...

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How much do python scraping jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for python scraping in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What are some common challenges faced by Python scraping professionals, and how can they be addressed?

Python Scraping professionals often encounter obstacles such as website anti-scraping measures, dynamic content loading with JavaScript, and frequent changes in website structures. Overcoming these challenges typically involves using tools like Selenium or Playwright for dynamic pages, rotating proxies and user agents to avoid detection, and writing adaptable, modular code to quickly update scrapers when site layouts change. Staying up to date with the latest libraries and best practices is vital for efficiency and compliance with legal and ethical standards.

What are the key skills and qualifications needed to thrive as a Python scraping specialist, and why are they important?

To thrive as a Python Scraping Specialist, you need strong proficiency in Python programming, understanding of web protocols (HTTP, HTML, CSS), and experience with libraries such as BeautifulSoup, Scrapy, or Selenium. Familiarity with version control systems like Git and knowledge of data storage formats (JSON, CSV, SQL) are also commonly required. Problem-solving, attention to detail, and effective communication are valuable soft skills in this role. These skills ensure efficient data extraction, compliance with website policies, and the ability to deliver actionable insights from web data.

What is the difference between Python Scraping vs Data Analyst?

AspectPython ScrapingData Analyst
Required SkillsPython programming, web scraping libraries (BeautifulSoup, Scrapy)Data analysis, SQL, Excel, statistical skills
Work EnvironmentTechnical, coding-focused, often remoteBusiness-focused, reporting, presentations
Industry UsageWeb data extraction, research projectsBusiness insights, decision-making
CertificationsPython certifications, web scraping coursesData analysis certifications (e.g., CAP, Microsoft Certified)

Python Scraping involves writing code to extract data from websites, focusing on programming skills and technical tools. Data Analysts interpret and visualize data for business insights, requiring analytical and statistical skills. While both roles work with data, Python Scraping is more technical and coding-intensive, whereas Data Analysts focus on analyzing and presenting data for decision-making.

What is Python scraping?

Python scraping refers to the process of using the Python programming language to extract data from websites or online sources. It typically involves sending HTTP requests to webpages, parsing the HTML or other content, and collecting specific information for analysis or storage. Popular Python libraries for web scraping include BeautifulSoup, Scrapy, and Requests. This technique is widely used in data analysis, research, and business intelligence, but it's important to respect website terms of service and legal guidelines when scraping data.

Is Python good for data scraping?

Python is widely used for data scraping due to its simplicity and extensive libraries like BeautifulSoup, Scrapy, and Requests that facilitate web data extraction. It is suitable for roles involving data collection, automation, and analysis, often requiring knowledge of HTML, CSS, and APIs.

Which Python scraping job is in demand?

Python scraping jobs are in high demand across industries such as data analysis, market research, and automation. Roles typically require skills in web scraping tools like BeautifulSoup or Scrapy, and knowledge of APIs and data handling. Demand is strong for professionals who can efficiently extract and process large datasets for business insights.
What are popular job titles related to Python Scraping jobs in California? For Python Scraping jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Scraping jobs in California look for? The top searched job categories for Python Scraping jobs in California are:
What cities in California are hiring for Python Scraping jobs? Cities in California with the most Python Scraping job openings:
Python Scraping jobs near you
Infographic showing various Python Scraping job openings in California as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Anti-scraping Security Expert

JD.com

Encino, CA • On-site

$18.25 - $21/hr

Other

Posted 3 days ago

New

Job description

Job Title

Anti-scraping Security Expert

Job Description

JD.com is seeking a highly skilled and experienced Anti-scraping Security Expert to design, implement, and maintain robust defenses against automated data extraction and scraping activities across our platforms. This role is crucial in protecting our valuable data assets, ensuring fair competition, and maintaining a positive user experience.

Key Responsibilities:

  • Conduct red-blue team validation on the company's anti-scraping products and risk control strategies from an adversarial perspective to strengthen defense via offensive testing and safeguard business security.
  • Undertake blue-team assessment, red-blue confrontation and real-world offensive & defensive drills focusing on business security and anti-scraping domains.
  • Design bypass strategies and carry out offensive capability testing for common business security adversarial scenarios across JD Overseas markets; develop automated adversarial scripts for business workflows.
Requirements
  • Bachelor's degree or above in Computer Science or related disciplines, with a minimum of 5 years of working experience. Candidates with experience at overseas e-commerce platforms are preferred.
  • Familiar with mainstream risk control rules for business security. Capable of independently detecting risk rules and implementing circumvention against human-machine challenges.
  • Proficient in forward and reverse JavaScript development, Python scripting, as well as packet capture and packet tampering tools.
  • Skilled in mainstream Android security analysis tools, adversarial scenarios and attack methodologies; able to conduct reverse engineering, hooking, emulation and related tasks.
  • Possess innovative problem-solving ideas (e.g. data poisoning) or solid hands-on adversarial experience (e.g. account risk control confrontation. Experience in crawler adversarial operations targeting overseas markets is a strong plus. Please highlight relevant experience clearly on your resume.

At JD.com, we're committed to building a diverse and inclusive workplace where everyone can thrive. We're proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.

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