Hire Data Scraping Specialists

Build fast with Data Scraping Specialists from LatAm. Experienced in crawling, extraction, and anti-blocking strategies with setup completed in 21 days.

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Hire Remote Data Scraping Specialists

Lucas Ferreira
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12 years of experience
Part-Time

Lucas is a data operations expert improving systems through structured automation.

Skills
  • Workflow Automation
  • Data Governance
  • Database Management
  • Process Optimization
  • ETL Engineering
Tomás Araya
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10 years of experience
Full-Time

Tomás is a skilled data analyst with a decade of experience, excelling in insightful analysis.

Skills
  • Excel
  • Data Visualization
  • Power BI
  • A/B Testing
  • SQL
Iván Gómez
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4 years of experience
Part-Time

Iván is a data engineer streamlining systems to uncover valuable insight.

Skills
  • Data Pipelines
  • ETL Processes
  • Data Modeling
  • SQL
  • Automation Scripting
Mateo Peñaherrera
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10 years of experience
Full-Time

Mateo is a data analyst delivering structured insights for confident business actions.

Skills
  • Exploratory Data Analysis
  • Power BI & Tableau
  • Forecasting Models
  • SQL Queries
  • Data Reporting
Camila Rojas
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14 years of experience
Part-Time

Camila is a skilled data engineer known for her precision and innovative solutions.

Skills
  • Big Data
  • Data Warehousing
  • ETL Pipelines
  • SQL
  • Python
Kevin Barrios
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8 years of experience
Part-Time

Kevin is a data analyst translating numbers into meaningful business takeaways.

Skills
  • Data Visualization
  • SQL Analysis
  • Trend Monitoring
  • Insight Reporting
  • Forecast Modeling
Caio Batista
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12 years of experience
Part-Time

Caio is a data expert simplifying analytics to deliver insights that support decisions.

Skills
  • Data Modeling
  • SQL
  • Data Visualization
  • ETL Processes
  • Analytics Reporting
Paola Duarte
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5 years of experience
Part-Time

Paola is a Data analyst passionate about translating patterns into clear insights.

Skills
  • Data Analysis
  • Data Modeling
  • ETL Processes
  • Dashboarding
  • Reporting
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Testimonials

"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."

RaeAnn Daly
Vice President of Customer Success, Blazeo

“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”

Phillip Gutheim
Head of Product, Rappi Bank

“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”

Dan Berzansky
CEO, Oneteam 360

Lupa's Proven Process

Your path to hiring success in 4 simple steps:
Day 1
Define The Role

Together, we'll create a precise hiring plan, defining your ideal candidate profile, team needs, compensation and cultural fit.

Day 2
Targeted Search

Our tech-enabled search scans thousands of candidates across LatAm, both active and passive. We leverage advanced tools and regional expertise to build a comprehensive talent pool.

Day 3 & 4
evaluation

We carefully assess 30+ candidates with proven track records. Our rigorous evaluation ensures each professional brings relevant experience from industry-leading companies, aligned to your needs.

Day 5
Shortlist Delivery

Receive a curated selection of 3-4 top candidates with comprehensive profiles. Each includes proven background, key achievements, and expectations—enabling informed hiring decisions.

Book a Free Consultation

Reviews

"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."

RaeAnn Daly
Vice President of Customer Success, Blazeo

“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”

Phillip Gutheim
Head of Product, Rappi Bank

“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”

Dan Berzansky
CEO, Oneteam 360

“We scaled our first tech team at record speed with Lupa. We couldn’t be happier with the service and the candidates we were sent.”

Mateo Albarracin
CEO, Bacu

"Recruiting used to be a challenge, but Lupa transformed everything. Their professional, agile team delivers top-quality candidates, understands our needs, and provides exceptional personalized service. Highly recommended!"

Rogerio Arguello
Accounting and Finance Director, Pasos al Éxito

“Lupa has become more than just a provider; it’s a true ally for Pirani in recruitment processes. The team is always available to support and deliver the best service. Additionally, I believe they offer highly competitive rates and service within the market.”

Tania Oquendo Henao
Head of People, Pirani

"Highly professional, patient with our changes, and always maintaining clear communication with candidates. We look forward to continuing to work with you on all our future roles."

Alberto Andrade Chiquete
VP of Revenue, Komet Sales

“Lupa has been an exceptional partner this year, deeply committed to understanding our unique needs and staying flexible to support us. We're excited to continue our collaboration into 2025.”

John Vanko
CTO, GymOwners

"What I love about Lupa is their approach to sharing small, carefully selected batches of candidates. They focus on sending only the three most qualified individuals, which has already helped us successfully fill 7 roles.”

Daniel Ruiz
Head of Engineering, Fuse Finance

"We hired 2 of our key initial developers with Lupa. The consultation was very helpful, the candidates were great and the process has been super fluid. We're already planning to do our next batch of hiring with Lupa. 5 stars."

Joaquin Oliva
Co-Founder, EBI

"Working with Lupa for LatAm hiring has been fantastic. They found us a highly skilled candidate at a better rate than our previous staffing company. The fit is perfect, and we’re excited to collaborate on more roles."

Kim Heger
Chief Talent Officer, Hakkoda

"We compared Lupa with another LatAm headhunter we found through Google, and Lupa delivered a far superior experience. Their consultative approach stood out, and the quality of their candidates was superior. I've hired through Lupa for both of my companies and look forward to building more of my LatAm team with their support."

Josh Berzansky
CEO, Proven Promotions & Vorgee USA

“We’ve worked with Lupa on multiple roles, and they’ve delivered time and again. From sourcing an incredible Senior FullStack Developer to supporting our broader hiring needs, their team has been proactive, kind, and incredibly easy to work with. It really feels like we’ve gained a trusted partner in hiring.”

Jeannine LeBeau
Director of People and Operations, Intevity

Working with Lupa was a great experience. We struggled to find software engineers with a specific skill set in the US, but Lupa helped us refine the role and articulate our needs. Their strategic approach made all the difference in finding the right person. Highly recommend!

Mike Bohlander
CTO and Co-Founder, Outgo

Lupa goes beyond typical headhunters. They helped me craft the role, refine the interview process, and even navigate international payroll. I felt truly supported—and I’m thrilled with the person I hired. What stood out most was their responsiveness and the thoughtful, consultative approach they brought.

Matt Clifford
Founder, Matt B. Clifford Consulting

Data Scraping Specialists Soft Skills

Autonomy and persistence that drive targeted data extraction workflows

Persistence

Work through site blockers and structure changes.

Problem Solving

Adapt logic for unstructured and inconsistent data.

Detail-Oriented

Capture and clean data with high precision.

Autonomy

Deliver complete pipelines with minimal oversight.

Adaptability

Adjust to changes in site structure or access.

Ethical Awareness

Respect legal and platform guidelines for scraping.

Data Scraping Specialists Skills

Data extraction skills that scale structured collection from unstructured sources

Web Crawling

Develop scrapers for dynamic and static content.

Data Parsing

Clean and structure raw HTML into usable formats.

Anti-Bot Evasion

Bypass CAPTCHAs, IP blocks, and rate limits ethically.

Headless Browsers

Use Puppeteer or Selenium to render JavaScript sites.

API Scraping

Access structured data directly through public endpoints.

Data Export Pipelines

Automate scraping output to CSV, JSON, or databases.

How to Write an Effective Job Post to Hire Data Scraping Specialists

This is an example job post, including a sample salary expectation. Customize it to better suit your needs, budget, and attract top candidates.

Recommended Titles

  • Web Scraper
  • Data Extraction Engineer
  • Web Crawling Specialist
  • Scraping Automation Developer
  • Python Web Scraper
  • Data Harvesting Specialist

Role Overview

  • Tech Stack: Proficient in Python, BeautifulSoup, Scrapy, and Selenium.
  • Project Scope: Build scalable, robust web crawlers for structured and unstructured data.
  • Team Size: Operate within small scraping squads of 2–4 focused on speed and scale.

Role Requirements

  • Years of Experience: 2–3 years in web scraping, automation, or data extraction roles.
  • Core Skills: Parsing, rate limiting, anti-bot circumvention, and proxy management.
  • Must-Have Technologies: Python, Scrapy, Selenium, Requests, AWS Lambda.

Role Benefits

  • Salary Range: $80,000 – $130,000 depending on volume and tech stack familiarity.
  • Remote Options: Fully remote with minimal timezone overlap requirements.
  • Growth Opportunities: Handle real-time scraping across diverse verticals at scale.

Do

  • List experience with web scraping libraries and proxies
  • Mention tools like Scrapy, Puppeteer, BeautifulSoup
  • Include focus on data accuracy and legal compliance
  • Highlight automation of data extraction workflows
  • Use scalable, web-automation-focused language

Don't

  • Don’t confuse with general web developers or data entry
  • Avoid skipping legal considerations or ethical sourcing
  • Don’t ignore proxy management or anti-blocking strategy
  • Refrain from vague mentions of “scraping experience”
  • Don’t list only tools without volume or structure context

Top Data Scraping Specialist Interview Questions

Key questions to ask a Data Scraping Specialist

What libraries do you use for scraping structured and unstructured data?

Look for BeautifulSoup, Scrapy, Puppeteer, or Playwright. Bonus if they’ve used headless browser automation.

How do you manage scraping large volumes of data?

Expect use of proxies, rate limiting, rotating headers, and parallel pipelines or task queues like Celery.

How do you handle anti-bot mechanisms?

They should mention captcha bypassing, IP rotation, headless detection, and dynamic JavaScript rendering.

What’s your experience with cleaning and storing scraped data?

Look for pipeline use—cleaning, deduplication, and output to databases, cloud storage, or flat files.

How do you ensure scraped data is accurate and up to date?

Expect mention of revalidation, change monitoring, scheduling tools, and logging for quality assurance.

What do you do when a website implements bot protection?

Look for use of headless browsers, CAPTCHA solvers, proxy rotation, and respect for terms of service.

Describe a case where your scraper broke due to website changes.

Expect structured code for flexibility, selector fallback logic, and rapid adaptation workflows.

How do you ensure the data scraped is accurate and clean?

Expect data validation routines, deduplication steps, and post-processing sanitization.

What’s your process for handling large-scale scraping tasks?

Look for queueing systems, distributed crawlers, and data throttling to avoid server blocks.

How do you handle rate limits and IP blocks?

Expect proxy pools, request backoff strategies, and caching mechanisms.

Tell me about a time you dealt with site structure changes mid-project.

Expect fast adaptation, error handling strategies, and use of resilient scraping logic.

How do you respond to legal or ethical concerns raised about your work?

Expect compliance awareness, open communication, and reliance on terms-of-use analysis.

Describe how you prioritize which data to extract under tight constraints.

Expect business alignment, modular script design, and validation feedback loops.

Have you ever had to explain scraping limitations to stakeholders?

Expect examples of education, trade-off framing, and realistic deliverables.

What do you do when your IP or tools get blocked by a target site?

Expect proxy strategies, tool switching, and graceful fallback mechanisms.

  • Disregard for site terms of use or ethical scraping
  • Fails to handle CAPTCHA, rate limits, or blocking
  • Poor structuring and cleaning of scraped data
  • Weak error handling and logging practices
  • Limited ability to scale or schedule scrapers

Why We Stand Out From Other Recruiting Firms

From search to hire, our process is designed to secure the perfect talent for your team

Local Expertise

Tap into our knowledge of the LatAm market to secure the best talent at competitive, local rates. We know where to look, who to hire, and how to meet your needs precisely.

Direct Control

Retain complete control over your hiring process. With our strategic insights, you’ll know exactly where to find top talent, who to hire, and what to offer for a perfect match.

Seamless Compliance

We manage contracts, tax laws, and labor regulations, offering a worry-free recruitment experience tailored to your business needs, free of hidden costs and surprises.

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Joseph Burns
Founder

Top Data Scraping Specialist Interview Questions

Key questions to ask a Data Scraping Specialist

What libraries do you use for scraping structured and unstructured data?

Look for BeautifulSoup, Scrapy, Puppeteer, or Playwright. Bonus if they’ve used headless browser automation.

How do you manage scraping large volumes of data?

Expect use of proxies, rate limiting, rotating headers, and parallel pipelines or task queues like Celery.

How do you handle anti-bot mechanisms?

They should mention captcha bypassing, IP rotation, headless detection, and dynamic JavaScript rendering.

What’s your experience with cleaning and storing scraped data?

Look for pipeline use—cleaning, deduplication, and output to databases, cloud storage, or flat files.

How do you ensure scraped data is accurate and up to date?

Expect mention of revalidation, change monitoring, scheduling tools, and logging for quality assurance.

What do you do when a website implements bot protection?

Look for use of headless browsers, CAPTCHA solvers, proxy rotation, and respect for terms of service.

Describe a case where your scraper broke due to website changes.

Expect structured code for flexibility, selector fallback logic, and rapid adaptation workflows.

How do you ensure the data scraped is accurate and clean?

Expect data validation routines, deduplication steps, and post-processing sanitization.

What’s your process for handling large-scale scraping tasks?

Look for queueing systems, distributed crawlers, and data throttling to avoid server blocks.

How do you handle rate limits and IP blocks?

Expect proxy pools, request backoff strategies, and caching mechanisms.

Tell me about a time you dealt with site structure changes mid-project.

Expect fast adaptation, error handling strategies, and use of resilient scraping logic.

How do you respond to legal or ethical concerns raised about your work?

Expect compliance awareness, open communication, and reliance on terms-of-use analysis.

Describe how you prioritize which data to extract under tight constraints.

Expect business alignment, modular script design, and validation feedback loops.

Have you ever had to explain scraping limitations to stakeholders?

Expect examples of education, trade-off framing, and realistic deliverables.

What do you do when your IP or tools get blocked by a target site?

Expect proxy strategies, tool switching, and graceful fallback mechanisms.

  • Disregard for site terms of use or ethical scraping
  • Fails to handle CAPTCHA, rate limits, or blocking
  • Poor structuring and cleaning of scraped data
  • Weak error handling and logging practices
  • Limited ability to scale or schedule scrapers

Frequently Asked Questions

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