What's the easiest way to collect job postings from multiple job boards?

The easiest way is usually to avoid scraping each job board manually and instead use one of these approaches:

1) Use a job data API or aggregation service

This is the simplest and most reliable option.

Examples:

• Adzuna API
• SerpAPI (Google Jobs results)
• RapidAPI job search APIs
• The Muse / Remotive / Arbeitnow APIs for specific sources
• Apify actors for scraping job boards without building everything yourself

Pros: fast to set up, less maintenance, fewer legal/anti-bot issues
Cons: cost, rate limits, coverage may vary

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2) Use RSS feeds or built-in board APIs when available

Some boards or company career pages provide:

• RSS feeds
• JSON endpoints
• ATS feeds from Greenhouse, Lever, Workday, Ashby, etc.

Pros: clean data, easy to automate
Cons: not all boards support it

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3) Build a lightweight scraper for a few target boards

If you only need a small number of sites, use:

• Python + Requests + BeautifulSoup for static pages
• Playwright or Selenium for dynamic sites

Store results in:

• SQLite / PostgreSQL
• Google Sheets
• Airtable

Pros: full control
Cons: more maintenance, blocked requests, site changes

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4) Use a no-code automation tool

Good if you want speed over engineering:

• Apify
• Browse AI
• Zapier / Make
• Airtable + automation

Pros: quickest setup
Cons: less flexible, can get expensive

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Best practical recommendation

If your goal is “collect job postings from multiple job boards” with minimal effort:

1. Start with a job search API or aggregator
2. Add ATS feeds/API sources for companies you care about
3. Only scrape sites directly when necessary

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A simple architecture

• Source layer: API / scraper / RSS
• Normalizer: clean fields like title, company, location, salary, URL, date
• Deduplicator: remove duplicates across boards
• Storage: database or spreadsheet
• Scheduler: cron/GitHub Actions/Airflow to run daily

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If you want, I can recommend the best option based on your stack:

• no-code
• Python
• JavaScript
• small budget
• large-scale collection