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Web Scraping Engineer Jobs (NOW HIRING)

InfoVision, Inc.

Software Engineer

Richardson, TX · On-site

MB -487781 Software Engineer Design & implement end-to-end language targeting feature for Solimar ... Train Apache OpenNLP model with data from web-scraping, & analyze & demonstrate performance of ...

ORBIS

Staff Data Platform Engineer

Manhattan, NY · On-site

$310K/yr

Working on live web scraping , data freshness, and reliability at scale * Building internal data ... Strong software engineering background with a data focus * Comfortable operating at Staff level ...

Samprasoft

Software Engineer

Boston, MA · On-site

Python Developer Remote Until Covid 12 Months Must Have Skills Python (libraries such as Pandas ... You are familiar with or willingness to learn Web Scraping libraries such as with Selenium ...

Babel Street

Software Engineer III

Reston, VA · On-site

We are looking for a Senior Python Engineer with a "hacker" mindset to join our team as a Software Engineer III. This role is dedicated to large-scale web scraping and data harvesting. If you have ...

Babel Street

Software Engineer III

Reston, VA · On-site +1

$59.75 - $80.25/hr

We are looking for a Senior Python Engineer with a "hacker" mindset to join our team as a Software Engineer III. This role is dedicated to large-scale web scraping and data harvesting. If you have ...

Theguarantors

Senior PHP Software Engineer

New York, NY · On-site

$140K - $160K/yr

You'll partner with engineering leaders, product managers, and stakeholders to design, build, and ... Come up with solutions for improvements on web-scraping methods * Enable and build upon mission ...

GameStop Texas LTD

Lead AI/ML Engineer

Grapevine, TX

$94.70K - $124.70K/yr

As part of our investment in technology, we are looking for a Lead AI/ML Engineer to play a key ... Hands on experience with systems requiring real time web scraping from various sources. * Strong ...

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Web Scraping Engineer information

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How much do web scraping engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for web scraping engineer in the United States is $59.01, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $66.83 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Web Scraping Engineer, and why are they important?

To thrive as a Web Scraping Engineer, you need strong programming skills (especially in Python), knowledge of data extraction techniques, and familiarity with web protocols and HTML structure. Expertise with tools like Scrapy, BeautifulSoup, Selenium, and experience with APIs or anti-bot evasion techniques is typically required. Attention to detail, problem-solving, and strong analytical thinking are essential soft skills in this field. These skills ensure efficient, ethical, and reliable extraction of data from diverse web sources while navigating technical and legal complexities.

What are some common challenges faced by Web Scraping Engineers when extracting data from dynamic websites?

Web Scraping Engineers often encounter challenges such as navigating websites that use JavaScript to load content dynamically, dealing with anti-bot measures like CAPTCHAs or IP blocking, and ensuring data accuracy as website structures frequently change. To address these issues, engineers typically use headless browsers, rotating proxies, and robust error handling strategies. Staying up-to-date with the latest web technologies and adapting scripts proactively are essential for long-term success in this role.

What does a Web Scraping Engineer do?

A Web Scraping Engineer designs and develops software tools or scripts to automatically extract data from websites. They work with programming languages like Python and use libraries such as BeautifulSoup or Scrapy to gather and process web data efficiently. In addition to building scrapers, they also handle challenges such as dealing with website restrictions, CAPTCHAs, and ensuring compliance with legal and ethical guidelines. Their work is often used for market research, data analysis, or feeding information into business applications.

What is the difference between Web Scraping Engineer vs Data Engineer?

AspectWeb Scraping EngineerData Engineer
Primary FocusDeveloping and maintaining web scraping tools to extract data from websitesBuilding and managing data pipelines and infrastructure for data storage and processing
Skills & CertificationsPython, APIs, HTML, CSS, web scraping libraries (BeautifulSoup, Scrapy)SQL, ETL tools, cloud platforms, programming (Python, Java)
Work EnvironmentTech companies, data-driven startups, research projectsLarge enterprises, data warehouses, cloud environments
Industry UsageData collection for analytics, research, competitive analysisData integration, analytics, machine learning pipelines

While both roles involve working with data, a Web Scraping Engineer specializes in extracting data from websites using scraping tools, whereas a Data Engineer focuses on building data pipelines and infrastructure for storing and processing large datasets. The roles often overlap in skills like Python programming but serve different core functions within data ecosystems.

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Web Scraping Engineer jobs near you

Ai Automation Specialist/Engineer

Activate Talent

Manhattan, NY • Remote

Full-time

Posted 7 days ago

Job description

Ai Automation Specialist/Engineer Job Type: Full-Time | Location: 100% Remote | Timezone: US(EST) Client Overview Our client is a U.S.-based legal support services provider specializing in process serving, court filing, skip tracing, and document retrieval. They support law firms, corporations, and legal professionals with efficient, compliant, and technology-driven solutions, ensuring timely and accurate handling of legal documents across multiple jurisdictions. Position Overview Our client is seeking a highly technical AI and automation professional to design, build, and optimize intelligent workflows that enhance lead generation and client acquisition processes.

This role will focus on developing scalable systems that can extract, process, and structure data from multiple sources, transform it into actionable insights, and integrate it into internal tools such as CRM platforms. The ideal candidate will have strong experience in automation, data extraction, and system integration, with the ability to handle both structured and unstructured data. This role will also contribute to improving outreach and follow-up processes through automation, helping drive efficiency, consistency, and growth across the client acquisition lifecycle.

Key Responsibilities Design, build, and deploy end-to-end AI automation workflows to improve lead generation and client acquisition processes Develop systems that can extract, process, and structure data from multiple online sources Build and optimize data pipelines that transform raw data into actionable, CRM-ready insights Implement data deduplication, enrichment, and prioritization logic to improve lead quality Integrate automation workflows with CRM platforms to ensure seamless data flow and pipeline visibility Develop and maintain web scraping systems, including handling rate limiting, session management, and platform-specific logic Implement document parsing solutions, including OCR for scanned files and direct extraction from digital documents Support the automation of outreach and follow-up processes, including sequencing and lead engagement workflows Collaborate closely with the founder to identify high-impact automation opportunities Monitor and optimize systems to ensure performance, accuracy, and scalability Qualifications Proven experience building AI automation workflows end-to-end Strong hands‐on experience in web scraping (rate limiting, session handling, portal logic) Experience with PDF parsing, including OCR for scanned documents and text extraction for digital files Experience building or integrating with CRM systems Ability to design and implement data deduplication and enrichment workflows Nice‐to‐Have Experience in legal tech, court systems, or similar regulated data environments Experience with fuzzy matching, entity resolution, or alias mapping Familiarity with outreach automation and sequencing tools Understanding of cold outreach workflows and CRM pipelines Required Tools AI agent frameworks Web scraping tools OCR tools PDF parsing libraries CRM integrations Outreach and sequencing tools #J-18808-Ljbffr

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