# Remote.com Jobs Scraper - Low-costπŸ’²πŸ”₯πŸŒπŸ’Ό (`delectable_incubator/remote-com-jobs-scraper-low-cost`) Actor πŸ’ΌπŸŒ Extract remote job listings from Remote.com with ease. Collect job titles, company names, locations, salaries, employment types, categories, posting dates, and job URLs. Ideal for recruitment intelligence, talent sourcing, remote hiring analysis, salary benchmarking & job market research. πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/remote-com-jobs-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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

Remote.com Jobs Scraper

--- ## πŸŒπŸ’Ό Remote.com Jobs Scraper | Bulk Remote Job Listings Scraper | Apify Actor ### πŸš€ Extract Remote.com Job Listings in Seconds (No Code) The **Remote.com Jobs Scraper (Apify Actor)** is a powerful, scalable, and SEO-optimized job scraping solution designed to extract structured job listings directly from **Remote.com**, one of the world's leading platforms for remote and distributed careers. Easily scrape thousands of **remote job listings**, including job titles, hiring companies, salaries, locations, employment types, workplace options, and direct job URLs for **recruitment intelligence, HR analytics, AI datasets, lead generation, and global remote job market research**. Perfect for **recruiters, HR teams, staffing agencies, startups, researchers, job boards, and data analysts**. --- ## πŸ”₯ Why Choose This Remote.com Jobs Scraper? βœ” Best Remote.com scraper on Apify βœ” Keyword-based job search βœ” Supports workplace & job type filters βœ” Automatic pagination βœ” Fast & scalable extraction engine βœ” Structured JSON / CSV / Excel output βœ” Ideal for remote hiring intelligence βœ” No coding required βœ” Cloud-based Apify Actor --- ## 🎯 What This Scraper Does Simply enter your **job keyword**, select workplace preferences, job type, sorting method, and maximum number of results, then let the Actor automatically collect every matching Remote.com job listing. #### πŸ“Œ Core Features βœ… Scrape Remote.com job listings βœ… Keyword-based job search βœ… Filter by Remote, Hybrid or On-site βœ… Filter by employment type βœ… Sort by relevance or salary βœ… Automatic pagination βœ… Extract salary information βœ… Extract company information βœ… Extract workplace options βœ… Extract company logos βœ… Extract direct job URLs βœ… Export clean structured datasets --- ## ⚑ Input Configuration (Simple & Powerful) ### πŸ”₯ KEYWORD SEARCH MODE ```` { "keyword": "AI Engineer", "work\_place": "Remote", "job\_type": "Full time", "sort\_by": "Most Relevant", "maxitems": 500 } ``` --- ## πŸ“Š Extracted Job Data | Field | Description | |--------|-------------| | title | Job title | | company | Hiring company | | salary | Salary or compensation | | work_mode | Quick Apply / Application method | | location | Job location or remote restriction | | job_type | Employment type or region restriction | | logo_url | Company logo | | job_link | Direct job URL | --- ## πŸ’‘ Use Cases This Remote.com Jobs scraper is perfect for: πŸ’Ό Recruitment intelligence 🌍 Remote job market research πŸ“Š HR analytics πŸ“ˆ Hiring trend analysis πŸ€– AI & Machine Learning datasets 🏒 Talent acquisition πŸ—‚ Job board aggregation πŸ“‹ CRM enrichment πŸ”Ž Salary benchmarking 🌐 Global workforce analysis --- ## πŸš€ Key Features ⚑ Fast job extraction 🌍 Global remote job listings πŸ“Œ Automatic pagination πŸ’° Salary extraction 🏒 Company information 🧠 Structured datasets πŸ“Š High-speed scraping engine πŸ” Automatic retries πŸ’Ύ Export-ready datasets ☁️ Fully scalable cloud execution --- ## πŸ“€ Supported Export Formats βœ” JSON βœ” CSV βœ” Excel (XLSX) βœ” XML βœ” HTML --- ## πŸ“¦ Example Output ``` { "title": "Database Administrator", "company": "Bridge Technologies", "salary": "70k - 100k USD", "work\_mode": "Quick Apply", "location": "Remote", "job\_type": "United States Only", "logo\_url": "https://remote.com/jobs/logo.png", "job\_link": "https://remote.com/jobs/bridge-technologies/database-administrator" } ```` --- ## πŸ”₯ Why This is the BEST Remote.com Jobs Scraper on Apify? βœ” Optimized for Apify marketplace ranking βœ” Enterprise-ready architecture βœ” Fast and reliable extraction βœ” Clean structured datasets βœ” Complete job information βœ” Perfect for HR teams & recruiters βœ” Ideal for large-scale hiring intelligence βœ” Built for global remote job monitoring --- ## πŸ’Έ Pricing This scraper runs on a **pay-per-result pricing model**. You only pay for **successfully extracted records**. πŸ’³ **Price: $3.49 / 1,000 results** --- ## ❓ FAQ #### Can I search jobs by keyword? Yes. Simply enter keywords like: - Software Engineer - AI Engineer - Product Manager - Data Scientist - UX Designer #### Can I filter by workplace type? Yes. Supported workplace filters include: - Remote - Hybrid - On-site - Any #### Can I filter by employment type? Yes. Supported job types include: - Full-time - Part-time - Contractor - Any #### Does the scraper automatically handle pagination? Yes. Pagination is completely automatic. #### Can I scrape thousands of job listings? Absolutely. Simply increase the **maxitems** parameter. #### Can I export to Excel? Yes. Supported formats include: - JSON - CSV - Excel (XLSX) - XML - HTML #### Is coding required? No. Simply configure your search filters and run the Actor. --- ## ⚠️ Disclaimer This project is an independent data extraction tool. It is **not affiliated with, endorsed by, sponsored by, or associated with Remote.com**. --- ## πŸ”— Related Actors We are building the complete **PrimeScrape Jobs Intelligence Suite**. More professional job board scrapers coming soon πŸš€ --- ## 🌍 PrimeScrape Ecosystem Built for large-scale data collection, automation, AI datasets, and market intelligence. πŸ’Ό Job Intelligence 🏒 Recruitment Analytics πŸ“Š Labor Market Research πŸ€– AI Training Datasets πŸ“ˆ Hiring Intelligence βš™οΈ Automation Pipelines 🌍 Large-Scale Web Scraping --- ## πŸ“¬ Support ⭐⭐⭐⭐⭐ If you enjoy using this scraper, please leave a 5-star rating! Need a custom scraper or enterprise solution? πŸ“© Contact us through **Apify** for feature requests, custom development, or enterprise data extraction solutions. # Actor input Schema ## `keywords` (type: `array`): One or more job search keywords (e.g., software analyst, data scientist). Each keyword is scraped separately. ## `work_place` (type: `string`): Type of work place ## `job_type` (type: `string`): Type of employment ## `sort_by` (type: `string`): How to sort the jobs ## `maxitems` (type: `integer`): The maximum number of jobs to scrape per keyword ## Actor input object example ```json { "keywords": [ "software" ], "work_place": "Any", "job_type": "Full time", "sort_by": "Most Relevant", "maxitems": 80 } ```` # Actor output Schema ## `overview` (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 = { "keywords": [ "software" ], "work_place": "Any", "job_type": "Full time", "sort_by": "Most Relevant", "maxitems": 80 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/remote-com-jobs-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "keywords": ["software"], "work_place": "Any", "job_type": "Full time", "sort_by": "Most Relevant", "maxitems": 80, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/remote-com-jobs-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "software" ], "work_place": "Any", "job_type": "Full time", "sort_by": "Most Relevant", "maxitems": 80 }' | apify call delectable_incubator/remote-com-jobs-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/remote-com-jobs-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Remote.com Jobs Scraper - Low-costπŸ’²πŸ”₯πŸŒπŸ’Ό", "description": "πŸ’ΌπŸŒ Extract remote job listings from Remote.com with ease. Collect job titles, company names, locations, salaries, employment types, categories, posting dates, and job URLs. Ideal for recruitment intelligence, talent sourcing, remote hiring analysis, salary benchmarking & job market research. πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "yjDXgWVWSs3njALWG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~remote-com-jobs-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-remote-com-jobs-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~remote-com-jobs-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-remote-com-jobs-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~remote-com-jobs-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-remote-com-jobs-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Search Keywords πŸ”", "type": "array", "description": "One or more job search keywords (e.g., software analyst, data scientist). Each keyword is scraped separately.", "default": [ "software" ], "items": { "type": "string" } }, "work_place": { "title": "Work place 🌍", "enum": [ "Remote", "Hybrid", "On-Site", "Any" ], "type": "string", "description": "Type of work place", "default": "Any" }, "job_type": { "title": "Job type πŸ’Ό", "enum": [ "Full time", "Part time", "Contractor", "Any" ], "type": "string", "description": "Type of employment", "default": "Full time" }, "sort_by": { "title": "Sort by πŸ“Š", "enum": [ "Most Relevant", "Pay (high to low)", "Pay (low to high)" ], "type": "string", "description": "How to sort the jobs", "default": "Most Relevant" }, "maxitems": { "title": "Maximum jobs per keyword πŸ“ˆ", "type": "integer", "description": "The maximum number of jobs to scrape per keyword", "default": 80 } } }, "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 } } } } } } } } } } ```