# Remotive.com Remote Jobs Scraper (`unfenced-group/remotive-scraper`) Actor Scrape remote jobs from Remotive.com via public REST API. No proxy or browser required. Covers 21 categories: Software Development, Marketing, Design, Data, AI, DevOps, Finance, Sales, and more. Deduplicates by job ID. Returns title, company, tags, salary, location, description. $0.99/1k results. - **URL**: https://apify.com/unfenced-group/remotive-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Jobs - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $0.99 / 1,000 result scrapeds 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 ## Remotive.com Remote Jobs Scraper Scrapes remote job listings from [Remotive.com](https://remotive.com) using their **public REST API** — no proxy required, no browser, zero external costs beyond Apify compute. ### Architecture **Method: REST API** — `https://remotive.com/api/remote-jobs?category={slug}` - ✅ No proxy — datacenter IPs work directly - ✅ No Playwright or browser automation - ✅ Public API with CORS `*` — no auth needed - ✅ Iterates 21 categories, deduplicates by job ID - ✅ Max ~420 unique jobs per run (20/category × 21 categories) Note: The Remotive free API delays postings by 24h vs. the live site. ### Input Fields | Field | Type | Default | Description | |-------|------|---------|-------------| | `categories` | array | `[]` | Category slugs to scrape. Empty = all 21 categories. See list below. | | `includeDescription` | boolean | `true` | Include full HTML + plain-text description in output | | `outputFormat` | string | `"structured"` | `structured` = all fields. `minimal` = key fields only, no description | #### Available Category Slugs `software-development`, `marketing`, `customer-service`, `design`, `sales`, `product`, `devops`, `finance`, `data`, `human-resources`, `artificial-intelligence`, `operations`, `writing`, `project-management`, `information-technology`, `education`, `qa`, `engineering`, `all-others`, `legal`, `medical` ### Output Fields | Field | Type | Description | |-------|------|-------------| | `id` | integer | Unique Remotive job ID | | `url` | string | Direct link to job on Remotive | | `title` | string | Job title | | `company_name` | string | Hiring company name | | `company_logo` | string | URL of company logo | | `category` | string | Job category (e.g. Software Development) | | `tags` | array | Skill/technology tags | | `job_type` | string | `full_time`, `part_time`, `freelance`, `contract`, `other` | | `publication_date` | string | ISO 8601 publication timestamp | | `candidate_required_location` | string | Geographic restriction (e.g. Worldwide, USA, Europe) | | `salary` | string | Salary info (free-text, may be empty) | | `description_html` | string | Full job description in HTML | | `description_text` | string | Plain-text description (max 5000 chars) | | `scraped_at` | string | ISO 8601 scrape timestamp | ### Cost Estimate - **Compute**: ~1–2 CU per full run (all 21 categories) = **~$0.30–0.60** - **Proxy**: $0 — not required - **Runtime**: ~30–60 seconds for full scan ### Pricing **$0.99 per 1,000 results** (pay-per-result) ### Technical Notes - Uses `got@12` (CJS-compatible) for HTTP requests - 500ms polite delay between category requests - Deduplication via `Set` across all category fetches - API ToS: link back to Remotive source URLs, credit Remotive as source # Actor input Schema ## `categories` (type: `array`): Limit scraping to specific job categories. Leave empty to scrape all 21 categories. Available slugs: software-development, marketing, customer-service, design, sales, product, devops, finance, data, human-resources, artificial-intelligence, operations, writing, project-management, information-technology, education, qa, engineering, all-others, legal, medical ## `keywords` (type: `string`): Only return jobs containing this keyword in title, company name, tags, or description. Case-insensitive. Example: 'python', 'senior', 'react'. ## `jobTypes` (type: `array`): Only return jobs matching these employment types. Leave empty to include all types. ## `locationKeyword` (type: `string`): Only return jobs where the candidate location field contains this string. Case-insensitive. Examples: 'Worldwide', 'Europe', 'USA', 'LATAM'. ## `requireSalary` (type: `boolean`): When enabled, only jobs with a non-empty salary field are returned. ## `salaryMin` (type: `integer`): Only return jobs where the parsed salary minimum is at or above this value. Uses the same unit as the listing (annual USD, hourly, etc). Set to 0 to disable. ## `publishedAfter` (type: `string`): Only return jobs published on or after this date. Format: YYYY-MM-DD. Example: '2026-04-01'. ## `maxResults` (type: `integer`): Stop after pushing this many results. Set to 0 for no limit. ## `includeDescription` (type: `boolean`): Include full HTML and plain-text job description in output. Disable for smaller, faster datasets. ## `outputFormat` (type: `string`): structured = all fields including description. minimal = key fields only (no description HTML/text). ## Actor input object example ```json { "categories": [], "keywords": "", "jobTypes": [], "locationKeyword": "", "requireSalary": false, "salaryMin": 0, "publishedAfter": "", "maxResults": 0, "includeDescription": true, "outputFormat": "structured" } ```` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/remotive-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 = {} # Run the Actor and wait for it to finish run = client.actor("unfenced-group/remotive-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 '{}' | apify call unfenced-group/remotive-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/remotive-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Remotive.com Remote Jobs Scraper", "description": "Scrape remote jobs from Remotive.com via public REST API. No proxy or browser required. Covers 21 categories: Software Development, Marketing, Design, Data, AI, DevOps, Finance, Sales, and more. Deduplicates by job ID. Returns title, company, tags, salary, location, description. $0.99/1k results.", "version": "1.0", "x-build-id": "odCvyoYh2lwnYdhbk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~remotive-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-remotive-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/unfenced-group~remotive-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-remotive-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/unfenced-group~remotive-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-remotive-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", "properties": { "categories": { "title": "Categories", "type": "array", "description": "Limit scraping to specific job categories. Leave empty to scrape all 21 categories. Available slugs: software-development, marketing, customer-service, design, sales, product, devops, finance, data, human-resources, artificial-intelligence, operations, writing, project-management, information-technology, education, qa, engineering, all-others, legal, medical", "default": [], "items": { "type": "string" } }, "keywords": { "title": "Keyword filter", "type": "string", "description": "Only return jobs containing this keyword in title, company name, tags, or description. Case-insensitive. Example: 'python', 'senior', 'react'.", "default": "" }, "jobTypes": { "title": "Job type filter", "type": "array", "description": "Only return jobs matching these employment types. Leave empty to include all types.", "items": { "type": "string", "enum": [ "full_time", "part_time", "freelance", "contract", "internship", "other" ] }, "default": [] }, "locationKeyword": { "title": "Location keyword", "type": "string", "description": "Only return jobs where the candidate location field contains this string. Case-insensitive. Examples: 'Worldwide', 'Europe', 'USA', 'LATAM'.", "default": "" }, "requireSalary": { "title": "Require salary info", "type": "boolean", "description": "When enabled, only jobs with a non-empty salary field are returned.", "default": false }, "salaryMin": { "title": "Minimum salary", "minimum": 0, "type": "integer", "description": "Only return jobs where the parsed salary minimum is at or above this value. Uses the same unit as the listing (annual USD, hourly, etc). Set to 0 to disable.", "default": 0 }, "publishedAfter": { "title": "Published after", "type": "string", "description": "Only return jobs published on or after this date. Format: YYYY-MM-DD. Example: '2026-04-01'.", "default": "" }, "maxResults": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Stop after pushing this many results. Set to 0 for no limit.", "default": 0 }, "includeDescription": { "title": "Include job description", "type": "boolean", "description": "Include full HTML and plain-text job description in output. Disable for smaller, faster datasets.", "default": true }, "outputFormat": { "title": "Output format", "enum": [ "structured", "minimal" ], "type": "string", "description": "structured = all fields including description. minimal = key fields only (no description HTML/text).", "default": "structured" } } }, "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 } } } } } } } } } } ```