Working Nomads Scraper

Scrape remote job listings from with Thunderbit AI Web Scraper () and let AI turn job boards into clean, structured tables. You click AI Suggest Columns, then Scrape, and Thunderbit’s AI structures fields like job title, company, location, category, posted date, and job URL. You can then export to Excel, Google Sheets, Airtable, or Notion for tracking, outreach, and reporting.

🤖 What is Working Nomads Scraper

The AI-Powered Working Nomads Scraper is an that helps you extract remote job listings and job details from using AI. Instead of writing code or building brittle selectors, you simply open the page you want (like the main jobs feed), click AI Suggest Columns to generate a ready-to-scrape schema, and click Scrape to collect the data.

Thunderbit is especially useful when you want to:

• Capture hundreds of listings (up to ~500 rows per run depending on the page)
• Handle pagination and continuously updated job feeds
• Enrich results with subpage scraping (open each job post and pull extra details)

🧲 What can you scrape with Working Nomads

Working Nomads is a popular remote job board with categories like development, marketing, design, and more. With Thunderbit, you can scrape listing pages for fast collection, then optionally visit each job detail page to enrich your dataset.

Scrape All Remote Jobs from Working Nomads

This use case focuses on scraping the main jobs listing page: . It’s ideal when you want a broad view of the remote job market across categories, companies, and locations.

Steps:

1. Download the and register an account.
2. Go to the destination page, for example: .
3. Click AI Suggest Columns to let AI recommend the best column names and data types.
4. Click Scrape to run the scraper, then export to Excel, Google Sheets, Airtable, or Notion.

Column names

Scrape Remote Development Jobs from Working Nomads

This use case targets the development category page: . It’s perfect if you’re building a curated feed for engineering roles, tracking hiring trends, or collecting leads for recruiting and staffing.

Steps:

1. Download the and register an account.
2. Go to the destination page, for example: .
3. Click AI Suggest Columns to generate a structured table automatically.
4. Click Scrape to collect the data and export it to your preferred tool.

Column names

🎯 Why Use Working Nomads Tool

Scraping Working Nomads helps you turn a fast-moving job board into a dataset you can search, filter, and operationalize.

Common reasons you might scrape Working Nomads:

• Job seekers: Build your own tracker in Google Sheets, filter by location, keywords, or posted date, and avoid re-checking the site manually.
• Recruiters & staffing teams: Monitor hiring demand, identify companies hiring repeatedly, and build outreach lists (pair with Thunderbit’s free extractors like email/phone when available on company sites).
• Career coaches & creators: Create curated job newsletters, role roundups, and market reports using structured data.
• Market researchers: Track trends like in-demand skills, remote location constraints, and hiring velocity over time.
• Ecommerce, SaaS, and agencies: Watch competitors’ hiring signals to infer product direction, expansion, or new initiatives.

Thunderbit’s AI approach is also resilient: when job boards change layout, AI can re-read the page and keep your workflow moving with less maintenance than traditional scrapers. For more background, see and .

🧩 How to Use Working Nomads Chrome Extension

1. Install the Thunderbit Chrome Extension: Get it from the and create your account on .
2. Navigate to a Working Nomads page: Open either the full listings page () or a category page like .
3. Activate AI-Powered Scraper: Click AI Suggest Columns to generate column names and data types, then adjust anything you want (for example, add a “Seniority” column with a custom AI prompt).
4. Scrape + export your data: Click Scrape, then export to Excel/CSV/JSON, or send it to Google Sheets, Airtable, or Notion (export is free).

Tip: If you want more than what’s visible on the listing page, use Subpage Scraping to visit each Job URL and enrich your table with extra fields (like full description, requirements, or application links).

💳 Pricing for Working Nomads

Thunderbit uses a credit system:

• 1 credit = 1 output row in your results table.
• The AI-powered scraping experience (including AI Suggest Columns) is available from the start, and you can test it before committing.

What you can try for free:

• Free tier: scrape 6 pages per month (page-based allowance).
• Free trial: scrape 10 pages for free, which is great for validating your column setup and exports.

How much does a Working Nomads scrape cost per run
It depends on how many rows you extract. For example, scraping 200 job listings typically outputs ~200 rows, which uses ~200 credits. If you also use subpage scraping to enrich each job, you’ll still pay by output rows (your enriched table), which makes costs predictable for job tracking workflows.

Paid plans (monthly vs yearly):

• Starter: $15 monthly or $9 monthly billed yearly
• Pro tiers scale up for higher-volume scraping and scheduled monitoring

You can compare options on . If you scrape job boards weekly or run scheduled scrapes, the yearly plan is usually more cost effective due to the discount.

❓ FAQ

1. What is the AI Powered Working Nomads Scraper?
   The AI Powered Working Nomads Scraper is a Thunderbit workflow that extracts structured job listing data from . You use AI to detect fields like job title, company, location, posted date, and job links, then export the results to your spreadsheet or database.

2. What is Thunderbit?
   is an AI Web Scraper Chrome Extension that helps you collect data from websites, PDFs, and images and turn it into structured tables. It’s built for business workflows like lead generation, ecommerce monitoring, and job market research, with exports to Excel, Google Sheets, Airtable, and Notion.

3. Do I need coding skills to scrape Working Nomads?
   No. Thunderbit is designed for non-technical workflows: you click AI Suggest Columns and then Scrape. If you want more control, you can rename columns, change data types (text/date/URL), and add AI prompts—still without code.

4. Can Thunderbit scrape pagination on Working Nomads job pages?
   Yes. Thunderbit supports pagination scraping, including click-based pagination and infinite scroll patterns when present. This is useful when you want to collect more than what’s visible on the first page of results.

5. Can I scrape job details from each job post (not just the listing page)?
   Yes. Use Subpage Scraping to have Thunderbit visit each Job URL and extract additional fields from the detail page. This is helpful for capturing application links, full descriptions, requirements, and other fields that aren’t fully shown in the list view.

6. What data can I export after scraping Working Nomads?
   You can export to Excel, CSV, JSON, Google Sheets, Airtable, and Notion. Exporting and downloading are free, so you can move your dataset into the tool your team already uses.

7. How fast is a typical Working Nomads scrape?
   Many runs finish quickly (often around a minute, depending on page size, pagination depth, and whether you enable subpage scraping). If you choose Cloud Scraping, Thunderbit can process batches of pages faster for public pages; if you need logged-in context, Browser Scraping is a better fit.

8. How do credits work for job scraping?
   Credits are based on output rows: 1 credit equals 1 row in your results table. If you scrape 300 job listings, you’ll generally use about 300 credits, which makes it easy to estimate cost before you run larger collections.

9. Is it okay to scrape Working Nomads?
   You should always follow applicable laws, respect privacy, and review the website’s terms. Thunderbit is a tool for productivity and research; how you use the data (storage, redistribution, outreach) should align with compliance requirements and responsible data practices.

📚 Learn More

• Get started with the extension:
• Explore guides on the
• Learn fundamentals:
• Export workflows:
• Tool comparisons:
• If you also scrape documents:
• See plans and credits:
• Product videos and tutorials: