Step-by-Step: How to Scrape Job Postings in 2024?

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Muninder Adavelli
Written by
Muninder Adavelli

Updated · Jan 02, 2024

Muninder Adavelli
Digital Growth Strategist | Joined October 2021 | Twitter LinkedIn
Muninder Adavelli

Muninder Adavelli is a core team member and Digital Growth Strategist at Techjury. With a strong bac... | See full bio

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Edited by
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Girlie Defensor
Joined June 2023
Girlie Defensor

Girlie is an accomplished writer with an interest in technology and literature. With years of experi... | See full bio

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Searching for jobs using the Internet is common nowadays. In 2022, 80% of job searches happened online. Going online makes job hunting easier, as it means no more manually sending/scanning resumes and attending physical interviews. 

Ironically, the accessibility of online job postings also made the job hunt more challenging. To combat it, applicants and recruiters use job scraping. This process helps them gather valuable information from job listings using automated tools. 

Continue reading to find out more about how to scrape job postings and how applicants and recruiters use such a process. 

🔑  Key Takeaways

  • In 2022, 80% of job searches occurred online, highlighting the prevalence of online platforms for job hunting.
  • Job scraping simplifies the hiring process for both job seekers and businesses by collecting crucial information from job listings.
  • Effective job scraping necessitates web scraping tools and a basic understanding of programming to gather and export data.
  • Adhering to website rules, using proxies to avoid blocks, and selecting the right tools are crucial in the scraping process.
  • Job scraping data aids job seekers in setting salary expectations, helps hire new employees, optimizes resumes, and facilitates lead generation.

What is Job Scraping?

Since more jobs are posted online, anyone can easily apply in just a few clicks. This made it tougher for applicants and recruiters to secure the job or find the best candidate with more people in the hiring pool. 

To get an edge, job seekers and hiring companies scrape job data. Job scraping is the process of collecting job postings from employment websites like  Indeed, Glassdoor, and LinkedIn. This technique requires special tools or bots. 

Scraper tools are capable of getting important information from job listings, such as:

  • Title of the job
  • The company offering the job
  • Where the job is located
  • Salary range 
  • Date the job was posted

As  more companies utilize employment websites for hiring, job scraping becomes more of a necessity. Learn how to scrape job postings on your own in the next section. 

10 Steps to Scrape Job Postings

Before you start scraping job postings, make sure to secure the following:

Job scraping requirements

Once you have all the requirements, you can start scraping job postings. Note that there are various tools that you can use to scrape job data, but here's how you can do it with Octoparse:

1. Install Octoparse on your computer. Create an account. 

2. Open the tool and create a new task once installed.

Octoparse homepage

3. Go to LinkedIn. Copy the URL of the job listing that you want to scrape. 

4. Paste the URL on Octoparse and click the "Save" button.

Initiating a scraping project on Octoparse

5. Toggle the “Browse” switch to get a preview of the data that you want to scrape. 

Search results on Octoparse

6. Set up the tool by clicking "Options." Tick the checkbox beside “scroll down the page after it is loaded."

Setting up the scraping project

7. Select "to the bottom of the page" and click "Apply."

8. Click "Browse" and select “Auto-detect webpage data.” It will automatically get the data you need.

9. Click “Run” and extract the data.

Successful scraping pop-up

10. Export the extracted data to a format you want (e.g., CSV or Excel). This is what the data will look like when extracted to Excel:

A sample of scraped data from LinkedIn

You can check the video below for a visual guide on downloading and using Octoparse to scrape LinkedIn.

Use Cases of Job Scraping Data

Scraping job data is used for different beneficial purposes. Here are some examples:

Job Hunting

Job Hunting

As a job seeker, scraping job postings will help you discover how much companies are willing to pay for specific roles. Knowing such information helps you choose your applications and set realistic salary expectations during negotiations.

Hiring New Employees

Hiring New Employees

With job scraping data, companies can gather information from their competitors and job listings in the industry. Businesses use the accumulated data to create insights and hire new employees. 


Resume Optimization

Job seekers also use job scraping data to see what skills are important to a role. They can then optimize their resume to match the employer’s preference.


Lead Generation

Another vital use of job scraping is finding potential customers. Making a list of companies hiring in a specific area can help professionals find potential partners. 

Best Practices for Scraping Job Postings

Before you scrape job postings from websites, consider the following tips to ensure you are on the right path.

  • Understand the Rules and Ethics

While web scraping is generally legal, some websites do not allow it. Before gathering information from websites, learn about the rules and terms of services. This includes:

  • Ensure your data usage aligns with the regulations.
  • Avoid overloading the server with multiple requests simultaneously.
  • Review the robots.txt file and look for scraping instructions.
  • Explore API options if provided by the website. 
  • Checking the website’s terms of service for scraping permission.
  • Use Proxies 

Websites often enforce anti-scraping measures to protect their data. Common examples of these techniques are CAPTCHAs, honeypot traps, and IP address reputation. 

To bypass those anti-scraping measures, use third-party tools like proxies. A proxy hides a user’s real IP address to avoid getting blocked or flagged by websites. 

Pro Tip

If you are still blocked or flagged despite using a proxy, consider changing your proxy and adjusting your scraping rates. It is also best to get a reliable residential proxy as such type makes your scraping activity look like an actual user behavior—thus avoiding IP blocks.

  • Choose the Right Scraping Tools

There are many tools for web scraping jobs. Choose the one that is easy for you to use, fits your budget (ranging from free options to paid tools typically starting at $20-$50 per month), and works well with your website.


With increased job postings online, scraping them has become a valuable process. Job scraping works by using tools to gather information like job titles, salaries, company names, and location. It helps job seekers and employers to collect necessary information from online listings.

Remember to follow website rules when scraping job postings and use proxies to avoid getting blocked. Also, choose tools that work well with your needs and budget.


Is it okay to scrape LinkedIn?

Scraping LinkedIn data is okay as long as you’re scraping public data. LinkedIn has been involved in legal cases where courts allowed the scraping of public information from their platform.

Does Indeed allow web scraping?

Indeed policies do not allow scraping, but there are some exceptional cases where it is permitted. Review their policies and terms of service before scraping data.

What is the limit of LinkedIn web scraping?

To avoid getting blocked, scrape lower than half of the limit set by your plan. For example, scrape around 250 daily profiles on free plans. For paid plans, it's safe to stay under 1,000 profiles daily.


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