# Revelo LATAM Nearshore Developer Marketplace Scraper (`jungle_synthesizer/revelo-latam-nearshore-engineer-marketplace-scraper`) Actor Scrapes Revelo's public LATAM nearshore developer marketplace. Extracts USD compensation bands (junior/mid/senior monthly rates), tech role metadata, and descriptions for 1000+ technology skill categories. Ideal for comp-intel, nearshore hiring research, and LATAM developer market analysis. - **URL**: https://apify.com/jungle\_synthesizer/revelo-latam-nearshore-engineer-marketplace-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Revelo LATAM Nearshore Developer Marketplace Scraper Scrapes Revelo's public LATAM nearshore developer marketplace. Extracts USD compensation bands (junior/mid/senior monthly rates), tech role metadata, and descriptions for 1000+ technology skill categories. ### What it scrapes Revelo is the leading LATAM-to-US nearshore engineer marketplace. Their public site exposes: - **1,049 hiring pages** (`/hire/-developers`) — one per technology skill (Python, React, Node.js, etc.) - **42 job description template pages** (`/job-description/`) — standardized role templates Each hiring page includes USD all-in monthly compensation bands for LATAM developers at three seniority levels, making this the most direct public source for nearshore comp-intel. ### Output fields | Field | Description | |-------|-------------| | `id` | Unique slug derived from the URL (e.g. `python-developers`) | | `page_type` | `hire_role` or `job_description` | | `tech_skill` | Primary technology name (e.g. Python, React, DevOps) | | `page_title` | Full HTML title of the scraped page | | `meta_description` | SEO description for the page | | `salary_junior_per_month_usd` | All-in USD/month for a junior LATAM developer | | `salary_mid_per_month_usd` | All-in USD/month for a mid-level LATAM developer | | `salary_senior_per_month_usd` | All-in USD/month for a senior LATAM developer | | `faq_cost_text` | Full cost/pricing FAQ answer (up to 1000 chars) | | `faq_vetting_text` | Developer vetting process description (up to 500 chars) | | `region` | Always `Latin America` | | `source_url` | Canonical URL of the scraped page | Salary fields are `null` for pages where Revelo has not published cost data (typically the long tail of niche technologies). ### Input configuration | Field | Default | Description | |-------|---------|-------------| | `maxItems` | 50 | Maximum records to scrape. Set to `0` for all pages. | | `pageTypes` | `hire_role,job_description` | Comma-separated page types to include. | ### Example output ```json { "id": "python-developers", "page_type": "hire_role", "tech_skill": "Python", "page_title": "Hire Elite Vetted Senior Python Developers in 14 Days", "meta_description": "Hire Top LATAM Python Developers and save up to 50% over US hires. No long term contract needed. Get a shortlist of perfect-fit engineers now", "salary_junior_per_month_usd": 4800, "salary_mid_per_month_usd": 6000, "salary_senior_per_month_usd": 7150, "faq_cost_text": "The cost to hire a Python developer through Revelo depends on seniority level and engagement model. For full-time dedicated Python developers from Latin America, all-in costs typically start from $4,800 per month for junior developers...", "faq_vetting_text": "Every Python developer in Revelo's network passes a multi-stage vetting process before they are matched with any client...", "region": "Latin America", "source_url": "https://www.revelo.com/hire/python-developers" } ```` ### Use cases - **Comp-intel** — benchmark LATAM developer salaries across 1000+ technology categories - **Nearshore hiring research** — understand Revelo's pricing model and market positioning - **LATAM developer market analysis** — track salary trends for engineering roles - **HR and recruiting platforms** — enrich compensation databases with real-world nearshore data ### Notes - Salary data is only available for high-traffic skill pages (Python, React, Java, etc.). Niche pages return `null` salary fields. - Revelo uses Webflow CMS; pages are statically rendered and accessible without JavaScript. - No proxy required; site has no active bot detection. - A full crawl of all 1,091 target pages takes approximately 3–5 minutes at default concurrency. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of records to scrape. Set to 0 for all. ## `pageTypes` (type: `string`): Comma-separated list of page types to scrape. Options: hire\_role (skill/technology hiring pages), job\_description (job description templates). Default: hire\_role,job\_description ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "pageTypes": "hire_role,job_description" } ``` # Actor output Schema ## `results` (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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "pageTypes": "hire_role,job_description" }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/revelo-latam-nearshore-engineer-marketplace-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "pageTypes": "hire_role,job_description", } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/revelo-latam-nearshore-engineer-marketplace-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "pageTypes": "hire_role,job_description" }' | apify call jungle_synthesizer/revelo-latam-nearshore-engineer-marketplace-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/revelo-latam-nearshore-engineer-marketplace-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Revelo LATAM Nearshore Developer Marketplace Scraper", "description": "Scrapes Revelo's public LATAM nearshore developer marketplace. Extracts USD\ncompensation bands (junior/mid/senior monthly rates), tech role metadata, and\ndescriptions for 1000+ technology skill categories. Ideal for comp-intel,\nnearshore hiring research, and LATAM developer market analysis.\n", "version": "0.1", "x-build-id": "FPQJrhSXmTFdEC1LX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~revelo-latam-nearshore-engineer-marketplace-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-revelo-latam-nearshore-engineer-marketplace-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~revelo-latam-nearshore-engineer-marketplace-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-revelo-latam-nearshore-engineer-marketplace-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~revelo-latam-nearshore-engineer-marketplace-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-revelo-latam-nearshore-engineer-marketplace-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to scrape. Set to 0 for all.", "default": 50 }, "pageTypes": { "title": "Page Types", "type": "string", "description": "Comma-separated list of page types to scrape. Options: hire_role (skill/technology hiring pages), job_description (job description templates). Default: hire_role,job_description\n", "default": "hire_role,job_description" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```