🌎 Revelo LATAM Talent Scraper: Hire Costs, Salaries & Interviews

Revelo's public hiring data, structured and ready to use Pull nearshore hiring costs, country salary benchmarks, job description templates and interview questions from Revelo's public catalog in one run, no browser or manual copy-pasting required.

💰 Hiring cost bands Monthly and annual all-in cost by seniority, next to a comparable US total-compensation figure.

🌎 Country salary benchmarks Median pay and typical range for Brazil, Mexico, Colombia, Argentina and Peru, not just one LatAm-wide number.

📋 Job description templates Ready-to-edit responsibilities and requirements for every role Revelo covers.

❓ Interview questions Role-specific question sets so you can start screening candidates the same day.

🔍 What does this Actor do?

The Revelo LATAM Nearshore Talent Scraper collects the public content catalog published by Revelo, a nearshore tech-staffing marketplace connecting US and global companies with software engineers across Latin America. It covers four page families: hiring-role pay bands, country-specific salary breakdowns, job description templates, and interview question sets, all in one Actor run.

Two other Apify Actors already scrape Revelo, but both only collect the hiring-role and job-description pages. Neither one touches Revelo's country-level salary pages or interview question pages, even though both are published in Revelo's own site map. This Actor is the only one on the Store that covers all four.

Try it with the default input to see a small sample from every page family, then scope a run to the technologies, roles or countries you actually need.

💡 Why use this Actor?

"I need real numbers before I pitch nearshore hiring to my VP." Skip the sales call. Pull the actual published monthly and annual cost bands for the role you're hiring, next to what the same hire costs in the US, and put real figures in your slide.

"I'm building a compensation benchmarking sheet." A single LatAm-wide average isn't enough for a real comp model. Get country-level median salary and typical range for Brazil, Mexico, Colombia, Argentina and Peru in one dataset.

"I want to move fast on a new req." Grab a job description template and a matching interview question set for the role before you've even briefed a recruiter, so the search starts the same day.

"I track nearshore hiring costs over time." Schedule this Actor to re-run monthly and diff the output against your last run to catch when Revelo updates its published pay bands.

🧭 How it works

STEP 1 Pick your scope Choose which page families to collect, and optionally filter to specific technologies, roles or countries.

STEP 2 Run the Actor It reads Revelo's public site map, finds the matching pages, and extracts the published data.

STEP 3 Export your data Download the dataset as JSON, CSV or Excel, or pull it straight into Sheets, Airtable or your CRM.

📥 Input

Field	Type	Required	Description
Page Families to Scrape	array (enum)	No	Which of the four catalogs to collect: Hire, Salary, Job Description, Interview Questions. All four by default.
Technology or Role Filter	array of strings	No	Only scrape pages matching one of these technology or role terms, for example "python" or "data-engineer". Leave empty for every technology and role.
Country Filter (Salary pages only)	array of strings	No	Only applies to Salary pages. Limits results to the countries you list; global salary pages are always included.
Seniority Filter (Hire & Salary pages)	array (enum)	No	Only return Junior, Mid-Level and/or Senior compensation figures on Hire and Salary pages. Everything else on the page (FAQs, responsibilities, questions) stays untouched. This narrows data already on the page, so it never triggers an extra request. Leave empty for every tier.
Max Pages to Scrape	integer	No	Caps the total number of pages collected across all selected families in a single run.
Proxy Configuration	enum	No	Apify Proxy configuration. Datacenter proxy is the default and works reliably against this target.

📤 Output

Every scraped page becomes one dataset item. Fields vary by page family; a field with no published value on that page is left out rather than filled with a placeholder.

{
  "pageFamily": "hire",
  "technologyOrRole": "Python Developers",
  "country": null,
  "title": "Hire Python Developers Based in LatAm",
  "metaDescription": "Learn what Python developers do, what they cost in the US vs. Latin America...",
  "sourceUrl": "https://www.revelo.com/hire/python-developers",
  "scrapedAt": "2026-09-30T13:00:00.000Z",
  "monthlyAllInCostUsd": {
    "junior": { "min": 4600, "max": 5600 },
    "midLevel": { "min": 5800, "max": 7500 },
    "senior": { "min": 7200, "max": 10700 }
  },
  "annualAllInCostUsdLatam": {
    "junior": { "min": 56000, "max": 67000 },
    "midLevel": { "min": 70000, "max": 86000 },
    "senior": { "min": 86000, "max": 129000 }
  },
  "annualComparableUsCostUsd": {
    "junior": { "min": 89000, "max": 110000 },
    "midLevel": { "min": 122000, "max": 145000 },
    "senior": { "min": 142000, "max": 210000 }
  },
  "faqs": [
    { "question": "How much does it cost to hire Python developers through Revelo?", "answer": "All-in monthly costs run roughly $4,600 to $5,600 for junior..." }
  ]
}

📊 Data table

Field	Type	Description
pageFamily	string	Which catalog the item came from: hire, salary, job_description or interview_questions.
technologyOrRole	string	The technology or role the page covers.
country	string	Country for Salary pages with a country-specific breakdown; empty for LatAm-wide or global pages.
title	string	The page's published title.
metaDescription	string	The page's published meta description.
sourceUrl	string	The public Revelo page the data came from.
scrapedAt	string	When this Actor collected the page.
monthlyAllInCostUsd	object	Hire pages only. Monthly all-in cost by seniority.
annualAllInCostUsdLatam	object	Hire pages only. Annual all-in LatAm cost by seniority.
annualComparableUsCostUsd	object	Hire pages only. Comparable US total compensation by seniority.
faqs	array	Hire pages only. Published cost and vetting FAQ pairs.
salaryBySeniority	array	Salary pages only. Median salary and typical range by seniority level.
allInEmployerCostNotes	string	Salary pages only. Published all-in employer cost and savings notes.
responsibilities	array	Job Description pages only. Listed responsibilities.
requirements	array	Job Description pages only. Listed requirements.
questionCount	integer	Interview Questions pages only. Number of questions found.
interviewQuestions	array	Interview Questions pages only. Question and guidance pairs.

💰 Pricing

This Actor uses Apify's pay-per-event pricing: $0.79 per 1,000 pages scraped ($0.00079 per page). You pay only for pages actually collected; an empty or failed run costs nothing, and there is no subscription. Free plan runs are limited to 25 pages per run, 3 runs per day, and a short wait between runs.

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❓ FAQ

Does this Actor need a Revelo account or login? No. It only collects pages that are publicly visible on revelo.com, no login, API key or cookie required.

Will it get blocked? Revelo's hiring, salary, job-description and interview-question pages are ordinary public web pages with no anti-bot wall, so runs complete reliably on the default datacenter proxy.

Why is a field empty on some pages? Revelo doesn't publish every figure for every technology or role. This Actor never fills a gap with a placeholder, an empty field means Revelo hasn't published that data point.

Can I track changes over time? Yes. Schedule the Actor to re-run and compare the dataset against a previous run to see when Revelo updates its published pay bands.

Can I pull just Senior-level numbers? Yes. Set the Seniority Filter to Senior (or any combination of Junior, Mid-Level and Senior) and Hire and Salary pages will only return compensation figures for the tiers you picked. Everything else on the page (FAQs, responsibilities, interview questions) is unaffected, and no extra request is made to get it.

How is this different from the other Revelo actors on Apify? The other two only collect hiring-role and job-description pages. This Actor also collects Revelo's country-specific salary pages and interview-question pages, which neither of them does.

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