# Revelo LATAM Talent Scraper: Hire Costs, Salaries & Interviews (`getascraper/revelo-latam-talent-scraper`) Actor

Scrape Revelo's public LATAM nearshore tech-talent catalog: hiring pay bands, country salary breakdowns for Brazil, Mexico, Colombia, Argentina and Peru, job description templates, and interview questions. Covers all four Revelo page families, not just hire and job pages. $0.79 per 1,000 pages.

- **URL**: https://apify.com/getascraper/revelo-latam-talent-scraper.md
- **Developed by:** [GetAScraper](https://apify.com/getascraper) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.59 / 1,000 page scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

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

<table width="100%">
<tr>
<td style="padding:24px 28px;background:#EAF2F8;border:1px solid #C9DCEC;border-top:4px solid #1B3A5C;border-radius:12px">
<span style="font-size:23px;font-weight:800;color:#1C1917;line-height:1.3">Revelo's public hiring data, structured and ready to use</span><br>
<span style="font-size:15px;color:#57534E;line-height:1.6">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.</span>
</td>
</tr>
</table>
<table width="100%">
<tr>
<td style="padding:14px 12px;width:25%;background:#FFFFFF;border:1px solid #C9DCEC;border-radius:10px 0 0 10px;vertical-align:top">
<span style="font-size:15px;font-weight:800;color:#1B3A5C">💰 Hiring cost bands</span><br>
<span style="font-size:12px;color:#57534E">Monthly and annual all-in cost by seniority, next to a comparable US total-compensation figure.</span>
</td>
<td style="padding:14px 12px;width:25%;background:#FFFFFF;border:1px solid #C9DCEC;border-left:none;vertical-align:top">
<span style="font-size:15px;font-weight:800;color:#1B3A5C">🌎 Country salary benchmarks</span><br>
<span style="font-size:12px;color:#57534E">Median pay and typical range for Brazil, Mexico, Colombia, Argentina and Peru, not just one LatAm-wide number.</span>
</td>
<td style="padding:14px 12px;width:25%;background:#FFFFFF;border:1px solid #C9DCEC;border-left:none;vertical-align:top">
<span style="font-size:15px;font-weight:800;color:#1B3A5C">📋 Job description templates</span><br>
<span style="font-size:12px;color:#57534E">Ready-to-edit responsibilities and requirements for every role Revelo covers.</span>
</td>
<td style="padding:14px 12px;width:25%;background:#FFFFFF;border:1px solid #C9DCEC;border-left:none;border-radius:0 10px 10px 0;vertical-align:top">
<span style="font-size:15px;font-weight:800;color:#1B3A5C">❓ Interview questions</span><br>
<span style="font-size:12px;color:#57534E">Role-specific question sets so you can start screening candidates the same day.</span>
</td>
</tr>
</table>

### 🔍 What does this Actor do?

The **Revelo LATAM Nearshore Talent Scraper** collects the public content catalog published by
[Revelo](https://www.revelo.com), 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

<table width="100%">
<tr>
<td style="padding:16px 14px;width:33%;background:#EAF2F8;border:1px solid #C9DCEC;border-radius:10px 0 0 10px;vertical-align:top">
<span style="font-size:12px;font-weight:800;color:#1B3A5C;letter-spacing:1px">STEP 1</span><br>
<span style="font-size:14px;font-weight:700;color:#1C1917">Pick your scope</span><br>
<span style="font-size:12px;color:#57534E">Choose which page families to collect, and optionally filter to specific technologies, roles or countries.</span>
</td>
<td style="padding:16px 14px;width:33%;background:#EAF2F8;border:1px solid #C9DCEC;border-left:none;vertical-align:top">
<span style="font-size:12px;font-weight:800;color:#1B3A5C;letter-spacing:1px">STEP 2</span><br>
<span style="font-size:14px;font-weight:700;color:#1C1917">Run the Actor</span><br>
<span style="font-size:12px;color:#57534E">It reads Revelo's public site map, finds the matching pages, and extracts the published data.</span>
</td>
<td style="padding:16px 14px;width:33%;background:#EAF2F8;border:1px solid #C9DCEC;border-left:none;border-radius:0 10px 10px 0;vertical-align:top">
<span style="font-size:12px;font-weight:800;color:#1B3A5C;letter-spacing:1px">STEP 3</span><br>
<span style="font-size:14px;font-weight:700;color:#1C1917">Export your data</span><br>
<span style="font-size:12px;color:#57534E">Download the dataset as JSON, CSV or Excel, or pull it straight into Sheets, Airtable or your CRM.</span>
</td>
</tr>
</table>

### 📥 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.

```json
{
  "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.

### ⭐ Enjoying Revelo LATAM Nearshore Talent Scraper?

<table width="100%">
<tr>
<td style="padding:20px 24px 14px;background:#EAF2F8;border:1px solid #C9DCEC;border-left:5px solid #1B3A5C;border-radius:10px 10px 0 0">
<span style="font-size:20px;letter-spacing:4px">⭐ ⭐ ⭐ ⭐ ⭐</span><br>
<span style="font-size:17px;font-weight:800;color:#1C1917">If this Actor saved you a nearshore-hiring research call, a rating helps other buyers find it.</span><br>
<span style="font-size:14px;color:#57534E">A 5-star rating takes 10 seconds and helps other recruiters and hiring managers find it. Your feedback also tells us what to build next.</span>
</td>
</tr>
<tr>
<td style="padding:0;background:#1B3A5C;border:1px solid #C9DCEC;border-top:none;border-radius:0 0 10px 10px;text-align:center">
<a href="https://apify.com/getascraper/revelo-latam-talent-scraper/reviews" style="display:block;padding:13px 16px;color:#FFFFFF;text-decoration:none;font-weight:800;font-size:15px;letter-spacing:0.3px">★&nbsp;&nbsp;Rate this Actor on Apify</a>
</td>
</tr>
</table>

### ❓ 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.

### 🔗 Other actors

- [CutShort Jobs Scraper: India Tech Salaries](https://apify.com/getascraper/cutshort-scraper) ↗ - tech recruiting platform with published salary data, similar comp-benchmarking use case.
- [Instahyre Jobs Scraper: India tech jobs & hiring tracker](https://apify.com/getascraper/instahyre-jobs-scraper) ↗ - tech hiring and jobs tracker for recruiters.
- [Lever jobs scraper](https://apify.com/getascraper/lever-jobs-monitor) ↗ - monitor open roles across any company on the Lever ATS.
- [Workday jobs scraper](https://apify.com/getascraper/workday-tenant-jobs-monitor) ↗ - monitor open roles across any company on Workday.
- [SmartRecruiters jobs scraper](https://apify.com/getascraper/smartrecruiters-jobs-monitor) ↗ - monitor open roles across any company on SmartRecruiters.

# Changelog

This Actor's version history is a separate document: https://apify.com/getascraper/revelo-latam-talent-scraper/changelog.md

# Actor input Schema

## `pageFamilies` (type: `array`):

Choose which public Revelo content catalogs to collect. Hire and Job Description pages are the two families the existing Revelo scrapers on Apify Store already cover. Salary (country-level pay bands for Brazil, Mexico, Colombia, Argentina and Peru) and Interview Questions are not covered by either of them, even though both are listed in Revelo's own sitemap, so selecting them gets you data those actors cannot provide.

## `techOrRoleFilter` (type: `array`):

Only scrape pages whose URL slug contains one of these terms, for example "python", "react" or "data-engineer". Matching is case-insensitive and checks for a partial match, so "engineer" also matches "data-engineer" and "devops-engineer". Leave empty to scrape every technology or role in the selected page families.

## `countryFilter` (type: `array`):

Only applies to Salary pages, the family with country-specific variants. Enter countries to include, for example "brazil" or "mexico"; Revelo also publishes country-agnostic global salary pages, which are always included regardless of this filter. Leave empty to include every country plus the global pages.

## `seniorityFilter` (type: `array`):

Only return compensation data for these seniority tiers, on Hire and Salary pages. For example, selecting only Senior drops the Junior and Mid-Level cost/salary figures from the output while keeping everything else on the page (FAQs, responsibilities, questions). Leave empty to return every tier Revelo publishes.

## `maxItems` (type: `integer`):

Maximum total number of pages to collect across all selected page families combined. Kept low by default so a run finishes quickly; raise it once you know which families and filters you need.

## `proxyConfiguration` (type: `object`):

Revelo's hire, salary, job-description and interview-question pages are plain server-rendered HTML with no anti-bot or IP-quality gating (verified with direct requests), so the default Apify datacenter proxy works reliably and is far cheaper than residential. Only switch to residential if you start seeing blocked requests.

## Actor input object example

```json
{
  "pageFamilies": [
    "hire",
    "salary",
    "job_description",
    "interview_questions"
  ],
  "techOrRoleFilter": [],
  "countryFilter": [],
  "seniorityFilter": [],
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "pageFamilies": [
        "hire",
        "salary",
        "job_description",
        "interview_questions"
    ],
    "techOrRoleFilter": [],
    "countryFilter": [],
    "seniorityFilter": [],
    "maxItems": 20,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getascraper/revelo-latam-talent-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "pageFamilies": [
        "hire",
        "salary",
        "job_description",
        "interview_questions",
    ],
    "techOrRoleFilter": [],
    "countryFilter": [],
    "seniorityFilter": [],
    "maxItems": 20,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("getascraper/revelo-latam-talent-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "pageFamilies": [
    "hire",
    "salary",
    "job_description",
    "interview_questions"
  ],
  "techOrRoleFilter": [],
  "countryFilter": [],
  "seniorityFilter": [],
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call getascraper/revelo-latam-talent-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getascraper/revelo-latam-talent-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/GS7MyzGYDUiNU9B98/builds/Y7ojZZvAObn51SNjl/openapi.json