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Contractual Python Web Scraping Jobs (NOW HIRING)

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in developing Automations using Python language Core python skills covering: Variables and Data ...

WisEngineering

Write and maintain Python web-scraping scripts to safely harvest relevant web data. * Data Modeling and Analytics: Create and maintain data models to support analytics and reporting needs, ensuring ...

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How much do contractual python web scraping jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for contractual python web scraping in the United States is $57.88, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $62.50 per hour, depending on experience, location, and employer.

What is a contractual Python web scraping job?

Contractual Python Web Scraping jobs involve hiring professionals on a temporary or project basis to extract data from websites using the Python programming language. These jobs typically require knowledge of Python libraries such as BeautifulSoup, Scrapy, or Selenium to automate the process of collecting and processing web data. Contractual roles are ideal for companies or individuals who need specific data sets or one-time scraping projects completed efficiently, without committing to a long-term hire.

What are the key skills and qualifications needed to thrive as a contractual Python web scraping specialist?

To thrive as a Contractual Python Web Scraping specialist, you need strong proficiency in Python programming, web scraping libraries like BeautifulSoup and Scrapy, and a solid understanding of HTML, CSS, and HTTP protocols. Familiarity with version control systems (e.g., Git), API usage, and cloud platforms is often required, along with experience in handling data storage formats like JSON or CSV. Attention to detail, problem-solving skills, and effective communication are vital soft skills for interpreting client requirements and overcoming scraping challenges. These skills ensure accurate data extraction, reliable project delivery, and successful collaboration with clients or teams.

What are some common challenges faced in a contractual Python web scraping role, and how can job seekers prepare for them?

In a contractual Python web scraping role, professionals often encounter challenges such as dealing with websites that implement anti-scraping measures, handling frequent changes in website structures, and managing large volumes of data efficiently. To prepare, job seekers should familiarize themselves with tools like Selenium, BeautifulSoup, and Scrapy, as well as techniques for rotating proxies and handling CAPTCHAs. Staying up to date with legal and ethical considerations regarding web scraping is also crucial. Proactive communication with clients to clarify project requirements and timelines can further help ensure successful project delivery.

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

AspectContractual Python Web ScrapingContractual Data Analyst
Required SkillsPython, web scraping libraries, data extractionData analysis, SQL, Excel, visualization tools
Work EnvironmentProject-based, remote or on-site, technical focusBusiness-focused, collaborative, reporting-oriented
Industry UsageWeb data collection, market research, e-commerceBusiness intelligence, marketing, finance

Contractual Python Web Scraping specialists focus on extracting data from websites using Python, while Contractual Data Analysts interpret and analyze data to support business decisions. Both roles often collaborate but differ in technical skills and primary responsibilities.

What cities are hiring for Contractual Python Web Scraping jobs?

Cities with the most Contractual Python Web Scraping job openings:

What are the most commonly searched types of Python Web Scraping jobs?

The most popular types of Python Web Scraping jobs are:

What states have the most Contractual Python Web Scraping jobs?

States with the most job openings for Contractual Python Web Scraping jobs include:

What other helpful pages are available for Contractual Python Web Scraping?

Other pages related to Contractual Python Web Scraping:

Infographic showing various Contractual Python Web Scraping job openings in the United States as of June 2026, with employment types broken down into 10% Full Time, 40% Part Time, and 50% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $120,397 per year, or $57.9 per hour.

AI Web Scraping Engineer (Stealth Data Acquisition)

Washington, DC • Remote

Workana
See more jobs at Workanaexternal

$117K - $140K/yr

Full-time

Posted 4 days ago

Job description

About Our Client

Pinwheel API is a leading data infrastructure company enabling seamless access to employment and income verification data through secure APIs. The company powers payroll connectivity for fintechs, lenders, HR platforms, and financial services across the US market.

Role Overview

As an AI Web Scraping Engineer (Stealth Data Acquisition), you will be responsible for designing, building, and maintaining resilient, undetectable data collection systems at scale. This is not a "requests + BeautifulSoup" role — we need someone who has operated against modern anti-bot infrastructure (Cloudflare, PerimeterX, DataDome, Akamai, Kasada) and knows how to stay under the radar while extracting structured data reliably and continuously. You will integrate AI/LLM-based parsing to handle dynamic, unstructured, or frequently-changing page layouts and build self-healing scrapers that detect layout/DOM changes and adapt automatically.

Responsibilities

  • Stealth Scraping Pipeline Development – Design, build, and maintain stealth-based scraping pipelines that evade bot detection, fingerprinting, and rate-limiting defenses.
  • Anti-Bot Reverse Engineering – Reverse-engineer target sites' anti-automation measures (TLS/JA3 fingerprinting, canvas/WebGL fingerprinting, behavioral detection) and build countermeasures.
  • Distributed Infrastructure Architecture – Architect distributed scraping infrastructure using rotating residential/mobile proxies, headless browser farms, and session/cookie management at scale.
  • AI-Powered Parsing Integration – Integrate AI/LLM-based parsing to handle dynamic, unstructured, or frequently-changing page layouts without brittle selectors.
  • Self-Healing Scraper Development – Build self-healing scrapers that detect layout/DOM changes and adapt automatically.
  • Monitoring & Iteration – Monitor scraper health, success rates, and detection signals; rapidly iterate when sites patch defenses.
  • Compliance & Legal Guardrails – Ensure data pipelines are compliant with client-defined legal and ethical guardrails (ToS review, robots.txt handling, rate limiting) as directed by Pinwheel's legal/compliance team.
  • Data Pipeline Collaboration – Collaborate with data engineering to deliver clean, structured, deduplicated datasets into downstream systems.

Requirements

  • 4+ years building production web scraping systems at scale (not just scripts — real infrastructure).
  • Deep hands-on experience with headless browser automation (Playwright, Puppeteer, Selenium) including stealth plugins/patches.
  • Practical experience defeating or working around Cloudflare, DataDome, PerimeterX, Akamai Bot Manager, Kasada, or similar.
  • Strong understanding of TLS fingerprinting, HTTP/2 fingerprinting, canvas/WebGL fingerprinting, and browser fingerprint spoofing.
  • Experience with residential/mobile/datacenter proxy rotation and session management at scale.
  • Proficiency in Python and/or Node.js/TypeScript for scraping and orchestration.
  • Experience using LLMs/AI models for content extraction, parsing, and classification on messy/unstructured HTML.
  • Familiarity with CAPTCHA-solving approaches and detection-avoidance strategies.
  • Must be based in and authorized to work in the United States.
  • Must pass a standard background check prior to start.
  • Comfortable working in a fast-moving, iterative environment where target sites change defenses frequently.

Nice to Have

  • Experience with mobile app API reverse engineering (in addition to web).
  • Background in adversarial ML or anti-bot research (from either side).
  • Experience with distributed task queues (Celery, Kafka, SQS) for scraping orchestration.
  • Prior work in a data-as-a-service, alt-data, or web intelligence company.

Benefits

  • Compensation in USD
  • Fully remote work
  • Career growth on an international company