According to an estimation, 49M people utilize LinkedIn to find jobs, and 87% of recruiters rely on LinkedIn to assess and connect with future candidates. Because applicants increase their dependency on recruitment sites and social media platforms, recruiters must take advantage of data in hiring practice.
Recruiters use web data scrapers for data automation from recruitment websites to study job markets, know candidate credentials and optimize the acquisition procedure.
Advantages of Web Scraping for Recruiters
40,000+ employment sites in the USA alone serve as a big group of candidate data. Scraping appropriate data from job websites could be a tedious and time-consuming job, so Web scraping for recruiters can offer the given benefits:
- Allow a data-driven strategy for decision-making for hiring
- Lessen the team hiring cost to scrape data
- Lessen the time spent on manual candidate data scraping
- Offer nearly real-time data regarding job postings
Web Scraping Use Cases in Recruiting
Do you know that 67% of recruiters don’t get the required tools to understand the markets and talent they are employing? So, recruiters can use web data scrapers for:
Candidate Finding
Creating a Pool of Talent
A talent pool has qualified candidates for present or future openings in the organization. Recruiters can utilize job data scrapers to collect a listing of applicants from employment websites to make an updated talent database and create relations with candidates before they get ready to apply. According to 77% of recruiters, they are well-organized in their recruiting efforts while they understand the talent pool and market they’re employing from.
Target Applicants in Particular Geographical AreasSome web data scrapers combine IP proxies to give access to region-wise data. This helps recruiters to direct candidates in a particular area if the role requires employees to perform on-site work.
Web scrapers can collect candidates’ data from targeted programs like their social media profiles and employment sites. You can also program web scrapers to scrape qualification-centric data like skills or education fields in the candidates’ profiles. Recruiters can use scraped data to analyze candidates’ experiences and guess their match with particular positions.
Collect Candidates’ Contact InfoWeb data scrapers can gather candidates’ contact information like phone numbers and email addresses from employment sites to allow recruiters to stretch out and contact candidates well-qualified for the open positions.
Analysis of Different Job Markets
Know the Range of SalaryMost recruitment websites like Salary.com provide data about various salary ranges for specific roles, geographical regions, and years of expertise. You can use web scrapers to gather salary ranges for a business’ job opening to support recruiters in knowing candidates’ prospects and improve their salaries consequently.
Jon Requirement IdentificationRecruiters can recognize the skill and education requirements for particular roles by monitoring what competitors are searching for in the candidate. Web data scrapers can gather data from competitors’ job listings and job posting details to assist recruiters in creating superior job descriptions.
Competitive Job Offer CreationWeb data scrapers can also collect information from competitors’ sites about training opportunities, the flexibility of working hours, benefits, vacation days, etc. By knowing competitors’ offerings, recruiters can improve their benefits packages and job offerings to attract more candidates and won’t lose them due to competition.
Best Recruitment Web Scraping
To get maximum Web scraping aptitudes in a recruiting practice, businesses can get the best practices, including:
Selecting the Best Employment Platform: With hundreds of job platforms and websites available today, some platforms provide a wide-ranging scope while others might be more location-targeted. Indeed and LinkedIn have a comprehensive database for various global positions, whereas Stack Overflow and GitHub focus on tech and programming positions.
Candidate Pool Updates:With over 35k skills and 15M job openings given on LinkedIn alone, and being updated with hiring. Therefore, it is crucial to scrape job websites regularly to keep a talent pool updated.
This is critical to detect if a website you need to scrape helps bot scraping; otherwise, you would have legal problems like the LinkedIn vs. hiQ Labs case, where hiQ had broken the User Agreement of LinkedIn that explicitly prohibits auto extraction and access.
For more information about how to use web scraping for recruitment, contact Actowiz Solutions now! You can also reach us for all your mobile app scraping and web scraping services requirements.
