NEXXT Job Scraper 🚀💼🇺🇸

🇺🇸 NEXXT Job Scraper 🚀💼

The NEXXT Job Scraper allows you to search and extract job listings directly from NEXXT.com — one of the leading U.S. job search platforms. Whether you're targeting software jobs in New York or marketing roles in Chicago, this tool helps you gather structured job data effortlessly.

Ideal for recruiters, data analysts, job seekers, or market researchers looking to automate job data collection from NEXXT.

🔍 What You Can Extract

This scraper collects detailed job listing data directly from NEXXT, including:

📄 Fields Extracted by NEXXT Job Scraper

Field	Description
🆔 Job ID	Unique identifier of the job posting
📝 Job Title	Title of the job listing
🏢 Company Name	Employer or organization name
🖼️ Company Logo URL	Direct URL to company logo image
📍 Location	City, state, and ZIP where the job is based
📄 Abstract	Short job summary or preview
🔗 Job URL	Direct link to view the full job on NEXXT
📅 Posting Date	When the job was published
🌐 Search by Company URL	Link to search other jobs from the same company
📍 Search by Location URL	Link to search similar jobs in the same location
🧠 Search by Similar URL	Link to similar job types
❤️ Likes	Number of likes (if available)
✅ Direct Apply	Indicates if the job can be applied directly via NEXXT
🌐 External Apply URL	Indicates if the application redirects externally
📧 Can Email	Whether the job can be emailed
💾 Can Save	Whether the job can be saved
🔗 Can Share	Whether the job can be shared

🔢 How Many Jobs Can I Scrape?

You control the number of job listings scraped using the maxitems input.

The scraper will collect up to that number (if available on NEXXT).

Key Features ✨

• 🌍 🇺🇸 U.S. Market Focused Scraping

• 🧩 Structured JSON Output

• 🛠️ Customizable Filters (Keyword, Sort, Limit)

• 📥 Export to Excel, JSON, CSV, and more

• ⚡ Fast and Reliable Scraping

💸 Pricing

This scraper operates on a monthly subscription basis, priced at $19.49/month.

🔧 How to Use

Using the NEXXT Jobs Scraper is simple:

🔑 Sign up for an account on Apify.

🌐 Go to the NEXXT Jobs Scraper page.

📝 Fill in your search parameters (keyword, city, sort).

🔢 Set the maximum number of jobs you want to scrape.

▶️ Run the scraper.

📁 Download the results in your preferred format (JSON, Excel, CSV, XML, etc.).

Example Input 📲 👌

Here’s an example of how to structure your input:

{
  "keyword": "Software Engineer",
  "city": "New York, NY",
  "sort_by": "Most Recent",
  "maxitems": 100
}

Field	Type	Description
keyword	string	Keyword to search for jobs (e.g., "Software", "Nurse", "Marketing")
city	string	Location to filter job listings (e.g., "Chicago, IL")
sort_by	string	Choose "Recommanded" or "Most Recent" for result ordering
maxitems	number	Maximum number of job listings to extract

📤 Example Output (JSON)

Example structure of a scraped job record:

{
"Title": "Senior Software Development Engineer, JoinOCI",
"Company": "Oracle",
"CompanyLogoImageUrl": "https://.../logo.jpg",
"Location": "Albany, NY 12260",
"Abstract": "The Oracle Cloud Infrastructure (OCI) team can provide...",
"JobId": "2872150341",
"ActivityUniversalId": "1-2872150341",
"Age": "Apr 22",
"ViewJobUrl": "https://www.nexxt.com/jobs/...html",
"SearchByCompanyForJobsUrl": "/js/form/searchform.asp?k=Oracle...",
"SearchByLocationForJobsUrl": "/js/form/searchform.asp?l=Albany...",
"SearchBySimilarForJobsUrl": "/js/form/searchform.asp?mltid=0...",
"Likes": 0,
"IsDirectApply": false,
"IsApplyUrlExternal": true,
"CanEmail": true,
"CanSave": true,
"CanShare": true
}

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Can I Use This NEXXT Jobs Scraper API in Python? 🐍

Yes, you can use the Apify API with Python.

To access the NEXXT Jobs Scraper via Python, you can use the apify-client Python package. You can find more details about how to use the client in our Python Client Documentation.

📫 Support

😊 Leave us a ⭐⭐⭐⭐⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️ Happy scraping! 😊