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Freelance Web Data Scraping Jobs (NOW HIRING)

$276K - $289K/yr

... data scraping, automated scams, and other AI-driven web threats. Turn R&D into Consumer-Ready Products: * Partner deeply with Advanced R&D, threat research, data science, and engineering teams to ...

... data scraping. • Strong eye for UX or interest in generative AI. • Previous early-stage startup or founder experience. Company : Terrakotta is a web phone that allows users to communicate with ...

You will act as a subject matter expert in prospecting techniques and tools used for information retrieval, data extraction, web-scraping, continuous process improvement, process automation, and ...

You will act as a subject matter expert in prospecting techniques and tools used for information retrieval, data extraction, web-scraping, continuous process improvement, process automation, and ...

... web intelligence research to identify, analyze, and assess a wide range of online threats and ... Collect, analyze, and contextualize data from a variety of open and closed sources, including ...

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Freelance Web Data Scraping information

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How much do freelance web data scraping jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for freelance web data scraping in the United States is $34.86, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $40.87 per hour, depending on experience, location, and employer.

What is freelance web data scraping?

Freelance web data scraping involves extracting information from websites on behalf of clients, usually for purposes like research, business intelligence, or data analysis. Freelancers use programming languages and tools, such as Python with libraries like BeautifulSoup or Scrapy, to collect and organize data efficiently. They must ensure their methods comply with legal and ethical guidelines, as not all websites permit data scraping. Clients typically hire freelance web scrapers for specific projects or ongoing data collection needs.

What are the key skills and qualifications needed to thrive as a freelance web data scraper, and why are they important?

To thrive as a Freelance Web Data Scraper, you need strong programming skills in languages like Python, familiarity with HTML/CSS, and a solid understanding of data extraction techniques. Proficiency with tools such as Beautiful Soup, Scrapy, Selenium, and knowledge of APIs is essential, and certifications in data science or web development can be advantageous. Attention to detail, problem-solving abilities, and effective communication help freelancers navigate complex websites and manage client expectations. These skills ensure efficient, ethical, and accurate data extraction, which is crucial for delivering value and maintaining client trust.

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

Freelance web data scraping professionals often encounter challenges such as website structure changes, anti-scraping measures (like CAPTCHAs or IP blocking), and varying data formats. Staying updated with the latest scraping tools and techniques, using rotating proxies, and employing headless browsers can help overcome these obstacles. Building strong communication with clients to clarify data requirements and proactively addressing potential legal or ethical concerns also contributes to successful project outcomes.

What is the difference between Freelance Web Data Scraping vs Freelance Data Mining?

AspectFreelance Web Data ScrapingFreelance Data Mining
CredentialsBasic programming skills, knowledge of web scraping toolsData analysis skills, knowledge of data mining techniques
Work EnvironmentPrimarily remote, project-basedRemote or on-site, often involves data analysis platforms
Industry UsageWebsites, e-commerce, researchBusiness intelligence, market research, analytics
Search & Comparison IntentFocus on extracting data from websitesFocus on analyzing large datasets for insights

Freelance Web Data Scraping involves extracting data directly from websites using programming tools, while Freelance Data Mining focuses on analyzing large datasets to uncover patterns and insights. Both roles require technical skills but serve different purposes in data collection and analysis.

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Cities with the most Freelance Web Data Scraping job openings:

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

The most popular types of Web Data Scraping jobs are:

What states have the most Freelance Web Data Scraping jobs?

States with the most job openings for Freelance Web Data Scraping jobs include:

Infographic showing various Freelance Web Data Scraping job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $72,500 per year, or $34.9 per hour.

Java Developer with Web Crawling, Web Scrapping experience

Syntricate Technologies

Sunnyvale, CA • On-site

Full-time

Re-posted yesterday


Job description

Job Summary:
Syntricate Technologies is seeking a Java Developer with expertise in web crawling and web scraping. The role involves designing and implementing efficient web crawlers in Java and building proofs of concept for new business requirements.
Responsibilities:
• Proficient in Java development (Core Java, Multithreading, Collections, Memory Management)
• Web Crawler Development: Design and implement efficient and scalable web crawlers in Java to collect data from various online sources
• Experience with designing and building POCs as required for new business requirements – e.g.: on concepts of Web Crawling, Web Scraping etc.
• Experience of web crawling frameworks and tools, such as Scrapy, Puppeteer
• Experience with designing and building POCs as required for new business requirements – e.g.: on concepts of Web Crawling, Web Scraping etc.
• Proficient with Java Design Patterns
• Proficient with Spring Framework (Springboot etc.)
• Proficient with REST APIs, Webservices, Microservices
• Experience with Kubernetes (CI/CD Deployments)
Qualifications:
Required:
• Proficient in Java development (Core Java, Multithreading, Collections, Memory Management)
• Web Crawler Development: Design and implement efficient and scalable web crawlers in Java to collect data from various online sources
• Experience with designing and building POCs as required for new business requirements – e.g.: on concepts of Web Crawling, Web Scraping etc.
• Experience of web crawling frameworks and tools, such as Scrapy, Puppeteer
• Proficient with Java Design Patterns
• Proficient with Spring Framework (Springboot etc.)
• Proficient with REST APIs, Webservices, Microservices
• Experience with Kubernetes (CI/CD Deployments)
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.