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Email Scraping Jobs (NOW HIRING)

Adapt API

Software Engineer

San Francisco, CA · On-site

$180 - $260/hr

Experience with web scraping, email scraping, browser automation -- in general just getting data creatively out of hard-to-reach places * TypeScript/JavaScript experience in a professional or large ...

Adapt API

Software Engineer

San Francisco, CA · On-site

Experience with web scraping, email scraping, browser automation -- in general just getting data creatively out of hard-to-reach places * TypeScript/JavaScript experience in a professional or large ...

Universal Creative

Scenic Painter

Orlando, FL

$17 - $23/hr

Consists of cleaning, scraping, caulking, applying putty, sanding, patching, priming, and base ... All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet ...

Acts Retirement-Life Communities

Dishwasher

Matthews, NC · On-site

$14.63 - $17.39/hr

You will work with other dishwashers as a team, scraping, racking, and washing the service ware ... e-mail alerts with new job opportunities that match your interests! Acts Retirement-Life ...

Acts Retirement-Life Communities

Dishwasher

Media, PA

$14.63 - $17.39/hr

You will work with other dishwashers as a team, scraping, racking, and washing the service ware ... e-mail alerts with new job opportunities that match your interests! Acts Retirement-Life ...

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How much do email scraping jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for email scraping in the United States is $38.68, according to ZipRecruiter salary data. Most workers in this role earn between $33.89 and $43.75 per hour, depending on experience, location, and employer.

What is an email scraping?

An Email Scraping job involves extracting email addresses from websites, online directories, or databases using automated tools or scripts. This process is often used for lead generation, marketing, or research purposes. However, ethical and legal considerations must be followed, as scraping emails without permission may violate privacy laws like GDPR or CAN-SPAM. Professionals in this field use web scraping techniques, programming skills, and data processing tools to collect and organize email data efficiently.

What does a typical day look like for someone working in email scraping?

A typical day in Email Scraping involves identifying target websites, developing or deploying scripts to extract email addresses, and validating the accuracy of gathered data. You'll often work closely with marketing teams, data analysts, or sales professionals to ensure the collected emails support outreach campaigns while complying with privacy guidelines. The job also includes troubleshooting website defenses like CAPTCHA and adapting tools to new web architectures. Collaboration and ongoing skills development are common, making the environment dynamic and technically challenging.

What are the key skills and qualifications needed to thrive in email scraping, and why are they important?

To thrive in Email Scraping, you need strong analytical skills, experience with data extraction methods, and proficiency in programming languages such as Python or JavaScript. Familiarity with web scraping tools like BeautifulSoup, Scrapy, or Selenium, as well as a solid understanding of data privacy regulations, is crucial. Attention to detail, problem-solving abilities, and effective communication help you stand out in this field. These skills ensure the accurate and ethical collection of email data while maintaining compliance and supporting team goals.

More about Email Scraping jobs

What are the most commonly searched types of Email Scraping jobs?

The most popular types of Email Scraping jobs are:

What job categories do people searching Email Scraping jobs look for?

The top searched job categories for Email Scraping jobs are:

Email Scraping jobs near you
Infographic showing various Email Scraping job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $80,460 per year, or $38.7 per hour.

Software Engineer

Adapt API

San Francisco, CA • On-site

$180 - $260/hr

Other

Posted 11 days ago

Job description

Location

San Francisco

Employment Type

Full time

Location Type

On-site

Department

Engineering

Compensation
  • $180K - $260K Offers Equity
Who we are

Adapt API is a venture-backed startup building the agentic operations layer for Property & Casualty (P&C) insurance.

Today, walking into an insurance agency is like stepping into a time machine. Filing cabinets, fax machines, piles of incoming and outgoing mail. What you don't see is that even for the parts that have been "digitized", needless manual work abounds. Few systems communicate directly, leading to endless copy-pasting from emails to various proprietary web portals/desktop apps and back again.

Carrier by carrier, process by process, Adapt is bringing each of those manual and error-prone workflows into our comprehensive agentic platform.

The implementation details are subject to change, but this is our north star, and the future we envision isn't possible without it.

Why you should join Adapt
  • Opportunity to be a foundational team member to a rapidly-scaling post-PMF startup in a massive and largely untapped industry.
  • Hard backend/automation engineering problems on day 1. Backend is all we do, and the projects you’ll work on will be challenging and interesting.
  • Above-market cash and equity
  • We’ve raised funding from great investors including top fintech funds, ex-Plaid folks, and insurance industry insiders.
What we're looking for

We are seeking highly autonomous engineers excited about owning the design and implementation of end-to-end workflows for a complex, high-stakes industry and playing a foundational role in the formation of the company.

Responsibilities
  • You’ll work closely with the team and early customers to build a world-class agentic platform.
  • You’ll solve hard technical problems from scratch, owning the solution through the entire development lifecycle.
  • You’ll help define the tech stack/architecture for an evolving product - we’re technology agnostic and focus using the right tool for the job.
  • You’ll contribute to the creation of the team culture, as well as internal tooling and processes.
Role requirements
  • 4+ years professional backend/full-stack engineering experience. Working on large-scale open-source projects works too. You’ve played significant roles in either crafting AI products, building processing pipelines, or systemic integration of external systems.
  • Bachelor’s degree in CS or equivalent
  • Early-stage startup experience (or other similar unstructured, fast-paced environment)
  • Live in or willing to relocate to the Bay Area to work full-time in our SF office
Nice to haves
  • Experience with web scraping, email scraping, browser automation — in general just getting data creatively out of hard-to-reach places
  • TypeScript/JavaScript experience in a professional or large-scale OSS setting. If you have a comprehensive side project you think is equivalent, send it our way! Clear, concise, and extensible code is important to us and collaborating with others is often a forcing function to that end.
  • Experience integrating with low tech industries, or other time spent integrating with poorly documented, antiquated APIs (and sometimes even a lack thereof).
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