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Full Time Web Scraping Jobs (NOW HIRING)

Firecrawl

Technical BDR

San Francisco, CA · On-site

$140K - $185K/yr

You can read code, use APIs, talk about web scraping, and understand what LLM-ready data means. You ... based full-time employees * Full coverage, no red tape - Medical, dental, and vision (100% for ...

Sonsoft Inc

Sr. Data Scientist

Memphis, TN · On-site

Experience with web scraping * Experience with Text Matching applications Nice to have ... This is a Full-Time & Permanent job opportunity. * Only US Citizen , Green Card Holder , GC-EAD ...

Courier Newsroom, Inc.

Data Engineering Director

NY · Remote

S.-based) | Full-Time | $130K-$140K Join Courier Newsroom - an organization that drives journalism ... Proven experience with REST APIs, web scraping, and creative data acquisition * Public Cloud ...

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How much do full time web scraping jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for full time web scraping 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 is a full time web scraping job?

A Full Time Web Scraping job involves working as a data specialist or programmer who focuses on extracting information from websites using automated tools and scripts. The role typically includes designing, developing, and maintaining web scraping solutions to collect data at scale, ensuring compliance with legal and ethical standards. Responsibilities may also involve cleaning and organizing scraped data for use in analytics, business intelligence, or machine learning projects. Working full time in this field often requires proficiency in programming languages such as Python, familiarity with libraries like BeautifulSoup or Scrapy, and a good understanding of web protocols and data formats.

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

To thrive as a Full Time Web Scraping Specialist, you need strong programming skills (especially in Python), a deep understanding of data extraction techniques, and familiarity with web protocols and HTML/CSS. Experience with tools like BeautifulSoup, Scrapy, Selenium, and knowledge of APIs or database systems is typically required. Attention to detail, problem-solving abilities, and adaptability are crucial soft skills for navigating changing websites and complex data challenges. These skills ensure efficient, ethical, and reliable extraction of valuable data critical for business intelligence and automation.

What are some common challenges faced in a full time web scraping role and how can they be addressed?

In a full-time web scraping role, common challenges include handling websites with anti-bot measures, adapting to frequent site structure changes, and ensuring compliance with legal and ethical guidelines. Overcoming these obstacles typically involves staying updated with the latest scraping tools and techniques, using proxies or headless browsers to bypass restrictions, and maintaining clear communication with stakeholders about data requirements. Being proactive and adaptable is key, as websites often change their layouts or introduce new protections that require quick adjustments to scraping scripts.

What is the difference between Full Time Web Scraping vs Data Extraction Specialist?

AspectFull Time Web ScrapingData Extraction Specialist
CredentialsBasic programming skills, knowledge of web technologiesSimilar credentials, often with additional data management skills
Work EnvironmentTypically in tech companies, remote or office-basedSimilar environments, often in data-driven industries
Industry UsageCommon in tech, marketing, research sectorsUsed across various industries including finance, marketing, and research
Search & Comparison IntentUnderstanding job scope, skills, and requirementsComparing roles with similar data-focused tasks

Full Time Web Scraping and Data Extraction Specialist roles share many similarities in skills and work environment. However, Web Scraping typically emphasizes automated data collection from websites, while Data Extraction Specialists may handle broader data collection and processing tasks. Both roles are vital in data-driven industries and often require similar technical skills.

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What cities are hiring for Full Time Web Scraping jobs?

Cities with the most Full Time Web Scraping job openings:

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

The most popular types of Web Scraping jobs are:

What job categories do people searching Full Time Web Scraping jobs look for?

The top searched job categories for Full Time Web Scraping jobs are:

Full Time Web Scraping jobs near you
Infographic showing various Full Time Web Scraping job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 11% Part Time, 1% Temporary, and 7% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $122,736 per year, or $59 per hour.

Technical BDR

Firecrawl

San Francisco, CA • On-site

$140K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

Technical BDR
You'll be the tip of the spear for Firecrawl's outbound motion - identifying, engaging, and qualifying technical buyers (engineers, data scientists, AI/ML leads) who need to turn messy web data into structured, LLM-ready output. This isn't a dial-and-smile BDR seat. You'll combine technical fluency with relentless outbound execution to open doors that only someone who speaks the buyer's language can open.
Salary Range: $140,000-$185,000/year OTE
Equity Range: Competitive equity - details shared during the process.
Location: San Francisco, CA (Hybrid, on-site required)
Job Type: Full-Time
Experience: 3+ years or equivalent shipped systems
Visa: Must be legally authorized to work in the United States. We're not able to sponsor visas right now, though that may change down the line.
About Firecrawl
Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard problem everyone building with LLMs eventually hits, solved.
We hit 8 figures in ARR in year one and more than doubled it in year two. We have 150k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.
We're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount.
This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.
What You'll Do
  • Own outbound pipeline: Research and target engineering teams, AI startups, and data-heavy orgs that need web extraction at scale. Build sequences that land because they're technically relevant, not generic.
  • Speak their language: Engage prospects on their terms - reference their stack, understand their scraping pain, and articulate how Firecrawl's API solves problems they've been duct-taping around.
  • Qualify with depth: Run discovery calls that go beyond BANT. Understand the technical use case, map the decision-making process, and hand off deals to AEs with context that accelerates close.
  • Run live technical intros: Demo the product on first calls when it makes sense. You don't need to be a solutions architect, but you should be able to show a prospect how a simple API call turns a URL into clean data.
  • Feed product intelligence: Surface patterns from the field - what prospects are building, what's blocking adoption, what competitors are doing - and relay it to Product and Engineering.
  • Iterate relentlessly: Test messaging, channels, sequences, and personas. Treat outbound like a product: measure, learn, ship improvements.

What We're Looking For
  • Engineer-first, BDR-second. We can teach you sales. We can't fast-track deep technical intuition. The ideal candidate has a technical background - maybe you've shipped code, built side projects, contributed to open source, or studied CS/engineering - and you're drawn to the commercial side of technology.
  • Technically fluent. You can read code, use APIs, talk about web scraping, and understand what LLM-ready data means. You've built things - even if they're small.
  • Urgency is your default setting. You don't wait for permission, process, or perfect information. You move. You follow up. You close the loop same-day.
  • Bias for action over analysis. You'd rather send 10 imperfect outbounds and learn than spend a week crafting the perfect email. Speed compounds.
  • Thrives in complexity and ambiguity. You don't need a playbook to get started. You can navigate a messy prospect landscape and figure out who to talk to, what to say, and when to say it.
  • Curious and relentless. You dig into a prospect's GitHub, read their blog, understand their stack. You earn the right to their time.
  • Clear communicator. You write crisp emails and run tight calls. You know when to go technical and when to zoom out.

Backgrounds that often do well: Engineers who want to move into a commercial role. CS students who've done hackathons and side projects. Technical founders who've done their own outbound. Developer advocates looking for a more direct revenue path.
What We're NOT Looking For
  • Volume-only dialers. If your playbook is blast 200 generic emails and hope, this isn't the role. Every touch should show you understand the prospect's world.
  • Non-technical "relationship builders." Rapport matters, but you earn trust through relevance and technical credibility, not small talk.
  • People who need a finished playbook. We're building the motion as we go. If you need someone to hand you a script, a list, and a cadence tool before you can start, you'll stall here.
  • Clock-watchers. We move fast because the window for what we're building won't stay open forever. If urgency stresses you out rather than energizes you, this probably isn't the fit.

A Note On Pace
We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings - but this role probably isn't for you.
Benefits & Perks
Available to all employees
  • Salary that makes sense - $140,000-$185,000/year OTE, based on impact, not tenure
  • Own a piece - Gain competitive equity in what you're helping build
  • Generous PTO - 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge
  • Parental leave - 12 weeks fully paid, for all parents
  • Wellness stipend - $100/month for the gym, therapy, massages, or whatever keeps you human
  • Learning & Development - Expense up to $1,000/year toward anything that helps you grow professionally
  • Team offsites - A change of scenery, minus the trust falls
  • Sabbatical - 3 paid months off after 4 years, do something fun and new

Available to US-based full-time employees
  • Full coverage, no red tape - Medical, dental, and vision (100% for employees, 50% for spouse/kids) - no weird loopholes, just care that works
  • Life & Disability insurance - Employer-paid short-term disability, long-term disability, and life insurance - coverage for life's curveballs
  • Supplemental options - Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind
  • Doctegrity telehealth - Talk to a doctor from your couch
  • 401(k) plan - Retirement might be a ways off, but future-you will thank you
  • Pre-tax benefits - Access to FSAs and commuter benefits (US-only) to help your wallet out a bit
  • Pet insurance - Because fur babies are family too

Available to SF-based employees
  • SF HQ perks - Snacks, drinks, team lunches, intense ping pong, and peak startup energy
  • E-Bike transportation - A loaner electric bike to get you around the city, on us

Interview Process
  1. Application Review - Send us your stuff + a quick note on why this excites you (plus links to things you've built).
  2. Intro Chat (~25 min) - A quick conversation to get to know each other before we go deep. We'll talk about what you've been working on, what drew you to Firecrawl, and what you're looking for in your next role. Time for your questions too.
  3. Outbound & Technical Interview (~55 min) - We'll start with a quick alignment on your technical depth and what excites you about selling to developers. Then we'll go hands-on: research a real prospect persona, draft outreach, and walk us through your thinking. We're looking for technical relevance, creativity, and speed.
  4. Founder Chat (~25 min) - Culture, pace, ownership, and how you like to work. Time for your questions too.
  5. Paid Work Trial (1-2 weeks) - Take on a real, scoped piece of operational work with the team, paid at a contractor rate. It's the truest signal for both sides: you see what the role actually feels like, and we see how you operate. We'll flex around your current commitments.
  6. Decision - We move fast after the trial.

If you've ever wanted to be the technical voice that opens doors at one of the fastest-growing AI infrastructure startups, this is your shot.
Apply now.

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