LinkedIn contains over 500 Million profiles of professional members, who are entrepreneurs, currently employed in a company, seeking better job placement, or seeking new employment. How to collect these all data – option is scraping Linkedin.
If you’re member of the sales and marketing team, you would understand the importance of tracking employee count on LinkedIn. Employee count is used to determine a company’s size. It’s a crucial data point for most common sales and marketing activities, such as segmentation, lead routing, outbound outreach, territory planning, etc.
The size of a company’s employee will determine certain tools needed by the company. For instance, a company with 100 employees may not need an applicant tracking system while a company with 300 employees needs one.
More so, some certain B2B companies may be prospecting to companies of a certain size too. So, such companies will find appropriate companies with the necessary number of employee count to make a deal.
Now that we’ve seen why company size is important, let’s see how LinkedIn data can help in tracking employee count.
Like stated above, LinkedIn also contains a large database of professionals who are currently employed in a company. Therefore, profiles extraction from LinkedIn is helpful to find out where these professionals are employed. This will, in turn, help to determine the number of employees in a particular company.
Scraping LinkedIn is, therefore, required to collect necessary data from these LinkedIn profiles. Scraping LinkedIn quickly and efficiently requires the service of a professional Linkedin data extractor. However which are helpful headers can be collected using Linkedin data scraper?
LinkedIn contains professional profiles that showcase qualifications, skills, experience, expertise, and most especially your current employer, which can be used by the sales and marketing team to track employee count of companies.
Scraping LinkedIn Data can be Used for Other Purposes:
- Keeping job databases updated by HR and staffing agents.
- Fuelling smaller job aggregator boards with fresh job listing data.
- Analyzing the labor market, salary trends, and job trends within a country.
- Tracking competitors’ vacant job openings, salary/compensations, and other benefit plans to be able to stand up to the competition by making better offers, etc.
LinkedIn data has proven to be very useful and effective for tracking employee count, which is needed in making several business decisions. And the only way to go about extracting this data is by using a LinkedIn data extractor.