How To Scrape Multiple Job Boards Without Code (2025 Tutorial)

Job board scrapers are great, but most of them have one problem– they scrape only one board. Back in 2010, this would work when Monster was still dominating, but nowadays job postings are being distributed over dozens of job boards, making it a waste of time and money to scrape only one.

So if you want to get a comprehensive overview of job openings, you need to aggregate postings from multiple sources. This is where multi-board job scraping comes in, providing a solution that lets you gather data efficiently across various platforms at once.

What This Article Covers

• Explanation of the method I use to scrape 19 job boards at the same time
• List of the job boards that we scrape
• Tutorial on how to scrape job postings — Step-by-Step
• Tutorial on how to scrape job postings of companies in your CRM — Step-by-Step
• Breakdown of: Why you need to scrape multiple job boards, not just one
• How Datablist helps you use the job data in your sales and marketing

The Method Behind Scraping 19 Job Boards Simultaneously

If you want to scrape 19 job boards simultaneously, you have two options:

• Creating a scraper for each job board yourself and dealing with complicated code
• Using Datablist’s job board scraper, which aggregates 19 job boards across the globe

As you can guess, I use Datablist’s scraper to extract all job postings across 19 boards

💡 What Datablist Is

Datablist is an AI-powered spreadsheet that helps users collect, clean, organize, enrich, and automate data workflows. All without technical skills.

Imagine Excel, but enhanced with built-in data sources, no-code scrapers, automations, and AI agents that let you scale and streamline tasks far beyond what traditional spreadsheets offer.

The Job Boards Datablist Scrapes For You

Datablist has some unique advantages compared to other job data scrapers in the market. It aggregates data from 19 job boards at once, which saves you hours of setup and maintenance time that you'd otherwise spend on creating individual scrapers.

Below is a list of the job boards it scrapes:

Global Job Boards:

• Indeed: Dominates worldwide with extensive reach across most countries and industries.
• Glassdoor: Global presence with a strong focus on company reviews alongside job listings

Regional Job Boards:

• Asia & Oceania
  • Seek: Market leader in Australia and New Zealand
  • Naukri: Market leader in India with millions of listings
  • Naukri Gulf: Specialized for Middle Eastern job markets
  • JobsDB: Strong presence in Southeast Asian countries
  • Jobstreet: Popular across Malaysia, the Philippines, Singapore, and other Asian markets
• Europe
  • Infojobs: Dominant in Spain and parts of Latin America
  • Tecnoempleo: Spain-focused with specialization in tech positions
  • Welcome to The Jungle: Big platform in France and expanding to other European markets

Niche Job Boards & ATS Systems:

• Startup Ecosystem
  • AngelList (now Wellfound): Focused on startup jobs primarily in the U.S. tech scene
  • Startup Jobs: Specializes in early-stage company positions across North America
• ATS Systems (Application Tracking Systems)
  • Workable, Greenhouse, Lever, Ashby, Join, BambooHR, SimplyHired: These systems also get scraped by Datablist to give you an even wider coverage of the job market

How To Scrape Multiple Job Boards at Once: The Step-by-Step

At Datablist, we think that we should give users as much control as possible over the data they get and how they get it.

That’s why we give you 2 options of how you can scrape job postings:

1. Using Datablist’s search filters
2. Searching for job postings based on a list of companies

How To Scrape Multiple Job Boards using filters

In this part, I’ll show you how to use filters on the Datablist job board aggregator to get job postings based on keywords, seniorities, locations, etc.

Let’s go!

First, sign up for Datablist.

Create a Collection.

Click on Job Postings Search.

Now, filter using the 14 filters offered by Datablist (below is a detailed overview of the filters)

Job & Company Filters

Here is a list of filters available in Datablist's job aggregator.

Position Filters:

• Job Title Keywords: Enter comma-separated keywords (e.g., "developer, marketing"). Case-insensitive.
• Exclude Job Titles: Jobs with these keywords will be filtered out (e.g., "intern").
• Description Keywords: Comma-separated list (e.g., "python, crm"). Case-insensitive.
• Job Seniority: Filter by experience level required.
• Remote Status: Filter based on remote work options.
• Locations: Comma-separated cities or regions (e.g., "paris, london").
• Countries: Filter jobs by specific countries.

Company Filters:

• Filter Job Postings by a Selected List of Companies: More on this on the "Scrape job postings from your CRM companies" section.
• Exclude Job Postings from a Selected List of Companies: Useful avoid including your customers from your lead generation workflow. Or to prevent having multiple time the same companies.
• Company Type: Direct Employer and Recruiting Agency (default), Direct Employer only, or Recruiting Agency only.
• Company Industries: Include or exclude specific industries, when selecting/excluding industries, sub-industries are automatically included. View all industries with descriptions.
• Company Funding Stage: Filter by startup funding stage.

Additional Filter & Settings:

• Hiring Manager Info: Only show jobs with hiring manager details (Name, LinkedIn, Title).
• LinkedIn URL: Only show jobs from companies with LinkedIn profiles.
• Job Posting Age: Last 24 hours, 3 days, 7 days, 15 days, 1 month (default), 2 months, or 6 months.
• Results Limit: Maximum number of job offers to return (0 for default of 1000 results).

💡 3 Useful Tips for filters

Tip 1: You pay only for results. So apply filters before scraping, not after. This keeps your results clean from the start.

Tip 2: Use the “Hiring Manager Info” filter to get job posts with LinkedIn profiles. It’s the easiest way to find someone you can reach out to.

Tip 3: Didn’t use the “Hiring Manager Info” filter? No worries — use Datablist’s “Waterfall People Search” to find the right contacts afterward.

Exclude previously scraped companies from new job searches

You can exclude companies you've already scraped by using the "Exclude Job Postings posted by a specific list of Companies" filter. This helps avoid duplicate job postings from the same companies.

After scraping job postings, simply the define the filter Exclude Job Postings posted by a specific list of Companies with the company website property from your existing scraped data to exclude those companies from future searches.

To do this follow these steps

1. Check the box next to “Exclude job offers posted by a specific list of companies”
2. Select a collection containing companies you don’t want to scrape job postings of
3. Map the Datablist Collection Property with the column that contains the company domains

Start job postings search

Once you set all your filters, click on Continue.

Here are the data points Datablist will return:

Navigate to the bottom of the page and click on Run import now.

When the scraper finishes its job, the results will look like this:

Searching for job postings based on a list of companies

As I mentioned before, this option allows you to scrape job postings from companies that you already have in your Datablist workspace, CRM, or any other databases.

For this, you need to have the company name, the company LinkedIn URL, or the website URL in a Datablist collection.

First, sign up for Datablist.

Import a list of companies.

Create a separate Collection.

Open the Job Offers Search.

Now you have to do the following:

1. Check the box next to “Filter by companies”
2. Select the collection you just uploaded
3. Map the Datablist Collection Property with the column that contains the company domains
4. Define the job postings you want to scrape using our filters. Click here to see all filters.

You can also define a collection with company websites or domains to exclude from the job postings, using the same logic.

💡 3 Useful Tips for Scraping Job Boards

Tip 1: Exclude active clients from your job posting search to avoid embarrassing situations.

Tip 2: Include past clients in your job posting search to reactivate them again.

Tip 3: You can filter/exclude companies from your search using website URLs and company names, not only domains.

Once you set everything up, click on Continue.

Now, navigate to the bottom of the page and click Run import now.

That’s it. After 2-5 minutes, Datablist will give you all job postings it scraped across the 19 job boards.

📘 Price of Scraping Job Postings with Datablist

Datablist works with a credit system. 10 Credits are used to scrape one job posting.

Here's an example calculation:

If you subscribe to Datablist's starter plan which is $25/month and add a $20 credit top-up which gives you 20,000 additional credits, you'd have 25,000 credits.

This gives you enough credits for 2,500 job postings (which is a lot of data to work with!)

Why Scraping 19 Job Boards in The First Place?

Did you ever hear someone say, "I have too much data"? Me neither, because data is gold. The only thing we all can agree about is: Not all data is worth the same; some is valuable, some is irrelevant.

Why More Sources Matter

By scraping more job boards, you get more job postings, which increases your chances of finding more useful data. This broader approach ensures you don't miss valuable opportunities hidden across different platforms.

Benefits of Multi-Board Job Scraping

• Enhanced Data Volume
  • Access 15 sources instead of just one
  • Discover more opportunities with target companies
• Strategic Business Intelligence
  • Identify companies with immediate needs (signaled by job postings)
  • Target accounts based on their current priorities
  • Use as qualification variables in cold email campaigns
• Competitive Advantages
  • Win deals more efficiently as a recruiter
  • Provide more comprehensive insights to job seekers
  • Identify hiring trends before competitors
  • Gain better market coverage than single-board searches
  • Connect with potential clients at their growth investment stage

Now that you have some ideas in mind, why this data is so useful, let me show you what you can do next with it.

What You Can Do with Job Data

Yes, Datablist is great for scraping job boards, but this is not even 1% of what it can do for you. Let me give you some ideas of what you could do now with the job posting data:

1. Enrich companies with additional data
2. Using the AI Agent to search for data that no database has
3. Find decision makers within target accounts
4. Find emails and phone numbers with Waterfall Enrichment
5. Use AI to compose personalized emails
6. Analyze the tech stack of the company

The list could go on and on. The point here is: Datablist isn't just a tool for scraping; it gives you access to an entire lead generation ecosystem with just one affordable subscription.

Conclusion

Scraping multiple job boards is a competitive advantage that you should use to stay ahead, for as long as you can. Datablist makes the access to job data easier than any other tool and allows you to even search for job postings within the companies you already have in your CRM.

FAQ

Is Scraping Job Postings Legal?

Job board scraping exists in a legal gray area. While public data collection is generally permitted, many job boards prohibit scraping in their Terms of Service. The legality depends on how you scrape (respecting robots.txt files), what data you collect, and how you use it.

What Does Scrape Job Postings Mean?

Scraping job postings means using automated tools to extract job listing information from various websites. This process collects data like job titles, descriptions, company details, location, salary ranges, and more.

What Is The Best Job Scraping Tool?

Datablist stands out as a powerful job scraping tool that aggregates postings from 19 different job boards simultaneously. It offers comprehensive filtering options for job details, company information, and hiring manager data. Beyond scraping, Datablist provides data enrichment, AI-powered search, and automation capabilities.

Can ChatGPT Find Job Listings?

ChatGPT cannot directly scrape job listings from the web in real-time. While it can provide general job search advice, specialized tools like Datablist are designed specifically for scraping job postings across multiple platforms, providing comprehensive data including company details, salary information, and hiring manager contacts.

How Can I Use Scraped Job Data For Outreach Campaigns?

Scraped job data provides valuable intelligence for targeted outreach campaigns. You can identify companies actively hiring (signaling growth), find decision-makers, enrich contact information, and use AI to craft personalized messages based on their specific needs. This approach significantly improves response rates compared to generic outreach.

What Data Points Can I Get From Job Board Scraping?

Job board scraping tools like Datablist can extract comprehensive data, including job details (title, description, type, location, salary), company information (name, website, LinkedIn, size, industry), hiring manager details (name, title, LinkedIn), and metadata like posting dates. This rich dataset provides valuable business intelligence.

How Many Job Boards Should I Scrape?

Scraping multiple job boards provides significantly better results than relying on a single source. Tools like Datablist can scrape 19 job boards simultaneously, giving you comprehensive market coverage, more opportunities to identify potential clients, and better insights into hiring trends before competitors.