Cold outreach is getting harder, and reply rates are declining every day since many people still choose the "spray and pray" approach. This is one of the main reasons why prospects don't want to answer cold emails - they're simply fed up.

Cold outreach works best when it’s targeted and personalized.

One of the strongest signals you can use? Hiring intent. When a company is hiring, it means they have a budget, urgency, and pain points they need to solve.

Manually tracking job openings is exhausting. That’s where Datablist Indeed Jobs Scraper comes in. It scrapes Indeed Job Offers pages to identify high-intent prospects in minutes. No coding is needed.

In this guide, I'll show you:

Watch the video below for step-by-step instructions on how to use the Indeed Jobs Scraper.

Why use hiring signals for Lead Generation?

Not all leads are created equal. Some prospects are just browsing, while others have a real, urgent need. To maximize your outreach efforts, focus on high-intent signals—clear indicators that a company is ready to buy.

Common Lead Generation Signals

  1. Website Activity – Tracking visitors to your pricing page or demo request form.
  2. Technology Adoption – Identifying companies that start using a complementary or competitive tool.
  3. Funding Rounds – Companies that recently raised capital often have new budgets and initiatives.
  4. Job Openings (Hiring Signal) – Companies actively looking to fill roles signal pain points and budget allocations.

Why Hiring Signals Are One of the Best Lead Indicators

Hiring signals stand out because they show immediate business needs. When a company posts a job listing, they are investing money and effort into solving a problem. This means they:

  • Have a clear pain point they need to address.
  • Are willing to pay for a solution.
  • Have urgency—they don’t want this problem to persist.

Unlike funding rounds, which indicate potential growth but not necessarily immediate need, job postings reflect a problem they are actively working to solve right now.

Who Benefits Most from Hiring Signals?

Hiring data is gold for businesses that provide services, tools, or expertise that align with job openings. Some of the best use cases include:

  • Recruitment Agencies & Headhunters – Find companies hiring in bulk or for hard-to-fill roles.
  • B2B SaaS Companies – Target businesses hiring for roles related to your software (e.g., CRM tools for sales hires).
  • Marketing & Lead Gen Agencies – Offer services to companies growing their sales and marketing teams.
  • IT & Dev Agencies – Identify firms hiring for development roles and pitch outsourced solutions.
  • AI & Automation Companies – Find businesses with inefficiencies in hiring and propose AI-driven solutions.

By tracking hiring signals, you can reach out to the right people at the right time—when they need you the most.

How to filter and scrape Indeed Job Offers automatically

Manually tracking job postings is time-consuming. Instead of checking Indeed daily, you can automate the process with Datablist. By setting up targeted searches, you can extract fresh job listings in minutes—without coding.

Step 1: Sign up for Datablist

Datablist the AI Co-Pilot for GTM Teams
Datablist the AI Co-Pilot for GTM Teams

Datablist is an AI Co-Pilot for modern GTM Teams with unlimited possibilities.

One of those is the ability to scrape job offers from different sources such as Indeed, WelcomeToTheJungle, allowing B2B Teams to reach out when they're needed the most.

Once you've logged in to Datablist, you need to create a new collection. This new collection with store our Indeed Job Offers.

Creating a new collection
Creating a new collection

Then, click on "See all sources". The list of sourcs is also available from with "Import -> Import from data sources" from the header.

Choosing the Indeed job scraper between several sources
Choosing the Indeed job scraper between several sources

Then select the "Indeed Job Scraper".

Selecting the Indeed job scraper
Selecting the Indeed job scraper

Step 3: Narrow Your Search Down

Now you'll have to choose what job offers you want to scrape by choosing one of these methods:

  1. Using filters and keywords
  2. Copying your Indeed URLs and pasting them into Datablist

I will go with filters and keywords today. You specify your search by:

  • Search words for job titles
  • Locations (cities, zip codes, country, district)
  • Indeed country (each country has its own regional website)
  • Posting date

Each combination of location and keyword will create its own search. In my case, I have 5 keywords and 5 locations, which means Datablist will create 25 searches.

Filtering the Indeed job search
Filtering the Indeed job search

After starting your search, you can select from the following fields to include in your results:

  • Job Company Name

  • Job Company Website

  • Job Company Description

  • Job Company Staff Range

  • Job Company Industry

  • Job Company Revenue

  • Job Company Address

  • Job Company Rating

  • Job Company Reviews Count

  • Job Source

  • Indeed Offer URL

  • Job Title

  • Job Location

  • Job Country

  • Job Type

  • Job Description

  • Job Benefits

  • Job Salary Range

  • Date Posted

  • Apply Link

  • Company Indeed Link

Note: The Indeed Jobs Scraper extracts data from both the Job Offer pages and the company profile page to gather the company website and additional details.

Step 4: Get Your Results.

It takes between 5 and 15 minutes to scrape the job offers. This time depends on the number of searches and on the number of job offers to scrape.

The results of the Indeed job offer search
The results of the Indeed job offer search

Costs: The Indeed Jobs Scraper costs 5 credits per imported Job Offer. With a $20 credits top-up, you have 20,000 credits. So, you can scrape 4,000 job offers with $20 of credits. Check Datablist Credit System.

Schedule Indeed Job Offers Scraping

To keep your job leads up to date, you can schedule automatic imports of new job offers. This ensures your outreach is always based on fresh data.

Step 1: Prevent Duplicate Job Offers

Before setting up automation, enable unicity on the "Job Offer ID" field. This prevents duplicate job postings from being imported.

  1. Open your collection settings.
  2. Locate the "Job Offer ID" field.
  3. Enable the "Do not allow duplicate values" setting.
Enable Unicity on the Job Offer ID
Enable Unicity on the Job Offer ID
Enable the "Do not allow duplicate values" setting
Enable the "Do not allow duplicate values" setting

Step 2: Automate Job Offer Imports

With unicity enabled, you can now schedule automatic imports.

  1. Open the Indeed Job Scraper source. Either on a new collection, or with "Import -> Import from data sources" from the header.
  2. Configure the "Date Posted" setting to only scrape job offers in a specific interval. You can select "7 days" for example. And schedule the scraping to be done every week (see next step)
Define the date posted setting
Define the date posted setting
Example to get a job offer from the past 7 days
Example to get a job offer from the past 7 days
  1. Click "Continue", and on the outputs listing page. At the bottom, select "Schedule Import". And choose how often you want new job offers to be imported (daily, weekly, or monthly).
Schedule Import
Schedule Import
Possibility to automate job offer import from Indeed
Possibility to automate job offer import from Indeed
  1. Continue to save your automation.
  2. You can trigger this automation manually anytime you want from the "Enrich -> Automation" panel.

That’s it! Now Datablist will fetch the latest job postings based on your filters, keeping your lead list constantly updated.