# NEXXT Jobs Scraper - Low-costπŸ’²πŸ”₯πŸ‡ΊπŸ‡ΈπŸ’Ό (`delectable_incubator/nexxt-jobs-scraper-low-cost`) Actor πŸ” Extract job listings from Nexxt by keyword, location, or search URL. Collect job titles, company names, locations, posting dates, job summaries, employment details, and application URLs. Ideal for recruitment intelligence, HR analytics, labor market research & hiring trend analysis πŸ’ΌπŸ‡ΊπŸ‡ΈπŸ“Š - **URL**: https://apify.com/delectable\_incubator/nexxt-jobs-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Jobs, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% 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

NEXXT Jobs Scraper

--- ## πŸ‡ΊπŸ‡ΈπŸ’Ό NEXXT Jobs Scraper | Bulk NEXXT Job Listings Scraper | Apify Actor ### πŸš€ Extract NEXXT Job Listings in Seconds (No Code) The **NEXXT Jobs Scraper (Apify Actor)** is a powerful, scalable, and SEO-optimized job scraping tool built to extract job listings directly from NEXXT.com. Scrape thousands of NEXXT job postings in bulk, collect structured hiring data, and export datasets for recruitment, job aggregation, HR analytics, labor market intelligence, lead generation, and AI training datasets. --- ### πŸ”₯ Why This NEXXT Jobs Scraper? βœ” Best NEXXT scraper on Apify βœ” Supports **bulk keyword scraping (multi-search mode)** βœ” Extract U.S. job listings at scale βœ” Fast & reliable cloud-based extraction βœ” 100% structured JSON / CSV / Excel output βœ” Ideal for recruitment agencies & job boards βœ” Great for labor market intelligence βœ” No coding required --- ### 🎯 What This Scraper Does (NEXXT Job Data Extraction) This Apify Actor extracts real-time job listings from NEXXT search results pages. #### πŸ“Œ Core Features βœ… Scrape NEXXT job listings βœ… Bulk keyword job scraping (SEO BOOST πŸš€) βœ… Location-based job search βœ… Sort by Most Recent or Recommended βœ… Automatic pagination handling βœ… Extract company names and logos βœ… Extract job titles and descriptions βœ… Extract job URLs and application links βœ… Extract location and posting date βœ… Extract direct apply information βœ… Export clean structured datasets βœ… High-speed extraction engine --- ### ⚑ Input Configuration (Simple & Powerful) #### πŸ”₯ BULK KEYWORD MODE (SEO BOOST πŸš€) ```` { "keywords": \[ "software engineer", "data analyst", "registered nurse", "marketing manager", "project manager", "sales representative" ], "location": "United States", "sort\_by": "Most Recent", "max\_items": 500 } ``` --- ### πŸ“Š Extracted Job Data (Structured Output) | Field | Description | |---------|---------| | JobId | Unique job identifier | | Title | Job title | | Company | Company name | | CompanyLogoImageUrl | Company logo URL | | Location | Job location | | Abstract | Job summary | | Age | Posting date | | ViewJobUrl | Direct job URL | | SearchByCompanyForJobsUrl | Company jobs URL | | SearchByLocationForJobsUrl | Similar location jobs | | SearchBySimilarForJobsUrl | Similar jobs URL | | Likes | Number of likes | | IsDirectApply | Direct apply availability | | IsApplyUrlExternal | External application URL | | CanEmail | Email option | | CanSave | Save job option | | CanShare | Share option | --- ### πŸ’‘ Use Cases (High Demand SEO Keywords) This NEXXT scraper is perfect for: πŸ’Ό Job scraping USA πŸ“Š U.S. labor market analysis 🎯 Recruitment automation πŸ“ˆ Hiring trend monitoring πŸ€– AI training datasets 🏒 Company hiring intelligence πŸ“‘ Job aggregation platforms ⚑ Bulk job data extraction πŸ” Competitive hiring analysis πŸ“‹ Lead generation for recruiters --- ### πŸš€ Key Features (Apify SEO Optimized) ⚑ Bulk keyword scraping support πŸ‡ΊπŸ‡Έ U.S. job market coverage πŸ“Œ Smart pagination system 🧠 Clean structured output πŸ“Š High-speed extraction engine πŸ” Auto retry & stability system πŸ’Ύ Export-ready datasets ☁️ Scalable cloud execution πŸš€ Marketplace SEO optimized --- ### πŸ“€ Output Formats Supported βœ” JSON (API & automation ready) βœ” CSV (Excel compatible) βœ” Excel XLSX βœ” XML βœ” HTML βœ” NDJSON --- ### πŸ“¦ Example Output ``` { "Title": "Senior Software Development Engineer", "Company": "Oracle", "CompanyLogoImageUrl": "https://example.com/logo.jpg", "Location": "Albany, NY 12260", "Abstract": "The Oracle Cloud Infrastructure team can provide...", "JobId": "2872150341", "Age": "Apr 22", "ViewJobUrl": "https://www.nexxt.com/jobs/example", "Likes": 0, "IsDirectApply": false, "IsApplyUrlExternal": true, "CanEmail": true, "CanSave": true, "CanShare": true } ```` --- ### πŸ”₯ Why This is the BEST NEXXT Scraper on Apify? βœ” Optimized for Apify search ranking βœ” Bulk keyword support βœ” Fast cloud infrastructure βœ” High-quality structured datasets βœ” Enterprise-ready scalability βœ” Built for recruiters and job boards βœ” Excellent marketplace visibility βœ” Reliable extraction performance --- ### πŸ’Έ Pricing This scraper runs on a **pay-per-result pricing model**. You only pay for successfully extracted records. πŸ’³ **Price: $4.98 / 1,000 results** --- ### ❓ FAQ (SEO BOOST SECTION) #### Can I scrape multiple keywords at once? Yes. Bulk keyword mode is fully supported. #### Can I scrape jobs from different U.S. cities? Yes. Location filtering is supported. #### Is this scraper fast? Yes. The actor is optimized for large-scale extraction. #### Is coding required? No. This is a 100% no-code Apify Actor. #### Can I export data? Yes. JSON, CSV, Excel, XML, HTML, and more. #### Can I use the data for recruitment analytics? Absolutely. The scraper is designed for recruitment and labor market intelligence. --- ### ⚠️ Disclaimer This tool is not affiliated with, endorsed by, or associated with NEXXT.com. It is an independent data extraction and automation solution. --- ### πŸ”— Related Actors (PrimeScrape Ecosystem) We are building a complete **PrimeScrape Job Intelligence Suite**. πŸ‘‰ More premium job scraping Actors coming soon. --- ### 🌍 PrimeScrape Ecosystem Built for: πŸ“Š Job data extraction 🏒 Company intelligence πŸ“ˆ Market analytics πŸ€– AI training datasets βš™οΈ Recruitment automation πŸ“‘ Lead generation ☁️ Data pipelines πŸš€ Growth intelligence --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a review if you enjoy this actor. πŸ“© Contact us for custom scraping solutions, enterprise integrations, bulk extraction pipelines, or private actors. **PrimeScrape β€” Professional Data Extraction at Scale πŸš€** # Actor input Schema ## `keywords` (type: `array`): Enter one or more keywords or fields to search for job listings on NEXXT Job πŸ”πŸ’Ό. Each keyword will be scraped separately. ## `city` (type: `string`): Enter a City or location to search for job listings on NEXXT Job πŸ”πŸ’Ό. ## `sort_by` (type: `string`): Choose how you want to sort the job listings πŸ“…. ## `maxitems` (type: `integer`): Set the maximum number of job listings you want to scrape per keyword πŸ“Š. ## Actor input object example ```json { "keywords": [ "AI" ], "city": "NY", "sort_by": "Recommanded", "maxitems": 60 } ```` # 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 = { "keywords": [ "AI" ], "city": "NY", "sort_by": "Recommanded", "maxitems": 60 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/nexxt-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": ["AI"], "city": "NY", "sort_by": "Recommanded", "maxitems": 60, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/nexxt-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": [ "AI" ], "city": "NY", "sort_by": "Recommanded", "maxitems": 60 }' | apify call delectable_incubator/nexxt-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/nexxt-jobs-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NEXXT Jobs Scraper - Low-costπŸ’²πŸ”₯πŸ‡ΊπŸ‡ΈπŸ’Ό", "description": "πŸ” Extract job listings from Nexxt by keyword, location, or search URL. Collect job titles, company names, locations, posting dates, job summaries, employment details, and application URLs. Ideal for recruitment intelligence, HR analytics, labor market research & hiring trend analysis πŸ’ΌπŸ‡ΊπŸ‡ΈπŸ“Š", "version": "0.0", "x-build-id": "T1KfDTPf6vGS2cB5y" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~nexxt-jobs-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-nexxt-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~nexxt-jobs-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-nexxt-jobs-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~nexxt-jobs-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-nexxt-jobs-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Keywords or fields to search for on NEXXT Job πŸ”πŸ’Ό", "type": "array", "description": "Enter one or more keywords or fields to search for job listings on NEXXT Job πŸ”πŸ’Ό. Each keyword will be scraped separately.", "default": [ "AI" ], "items": { "type": "string" } }, "city": { "title": "City or location to search for on NEXXT Job πŸ”πŸ’Ό", "type": "string", "description": "Enter a City or location to search for job listings on NEXXT Job πŸ”πŸ’Ό.", "default": "NY" }, "sort_by": { "title": "Select a sorting option πŸ“…", "enum": [ "Recommanded", "Most Recent" ], "type": "string", "description": "Choose how you want to sort the job listings πŸ“….", "default": "Recommanded" }, "maxitems": { "title": "Maximum number of jobs to scrape per keyword πŸ“Š", "type": "integer", "description": "Set the maximum number of job listings you want to scrape per keyword πŸ“Š.", "default": 60 } } }, "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 } } } } } } } } } } ```