Why the scraping of employment data?
Throughout her years in the web scraping industry and user conferences around the world, scraping job data has stood out as one of the most sought after information on the Internet. According to a survey, 51% of busy adults who are looking for new jobs or trying to find new work opportunities and 58% of job seekers are looking for jobs online, in other words, this market is large. This great data can be useful in many ways like:
- Data collection to analyze employment trends and therefore the market.
- To feed job aggregator sites with new job data.
- Recruitment agencies scratch job sites to keep their job databases up to date.
- The monitoring of open positions, compensations and benefits of competitors decides to put you ahead.
- Find prospects by presenting your service to companies that recruit for an equivalent.
And believe me, these are just the tip of an iceberg. Having said that, scratching job offers is not the easiest thing to try.
Challenges related to the elimination of job offers:
First, you will need to decide where to extract this information. There are two main types of job data sources:
- Each company, large or small, offers a career section on its website. Scratching these pages daily can provide you with the most up-to-date list of job openings.
- Major job aggregation sites like Craiglist, LinkedIn, Indeed, Monster, Naukri, ZipRecruiter, Glassdoor, SimplyHired, reed.co.uk, Jobster, Dice, Facebook jobs, etc.
Next, you will need an Internet scraper for one of the websites mentioned above. Large job portals are often extremely difficult to scratch as they will almost always implement anti-scratch techniques to prevent scratch robots from collecting information about them. A number of the most common blocks include IP blocks, tracking suspicious browsing activities, honeypot traps, or using Captcha to stop excessive page visits. In contrast, the career sections of the business are generally easier to scratch. However, since each company has its own web / website interface, it is necessary to fix a robot for each company separately. So not only is the initial cost high, but it is also difficult to take care of the crawlers as websites change very often.
What are the choices for scraping job data?
There are a few options for removing online job postings.
Hiring a job data scraping service:
These companies provide what is generally called a “managed service”. Some well-known web scraping providers are Jobspikr, PromptCloud, Datahen, Propellum, Data Hero, Scrapinghub, etc. they will take your requests and find out everything necessary to encourage the work done, such as scripts, servers, IP proxies, etc. The data will be provided to you in the required format and frequency. Scraping services generally charge according to the number of websites, the amount of knowledge to be recovered and therefore the frequency of exploration. Some companies may charge additional fees for the number of knowledge areas and data storage. The complexity of the website is, of course, a serious factor that would have affected the final price. For each website configuration, there is usually a one-time setup fee and monthly maintenance fee.
- Highly customizable and adapted to your needs.
- No learning curve. The data is delivered to you directly.
- Long-term maintenance costs can increase the budget.
- Costs are often high, especially if you have tons of websites to scratch.
- Extended development time because each website will have to be found in its entirety (3 to 10 working days per site).
Internal configuration of web scraping:
Doing internal web scraping with your technical team and resources has its pros and cons.
- Fewer communication challenges, faster turnaround time.
- Full control over the exploration process.
- Less expertise. Web scraping can be a niche process that requires a high level of technical skill, especially if you want to scratch a number of the most popular websites or if you want to extract an inordinate amount of knowledge on a daily basis. It is difficult to hire professionals from scratch, even if you hire professionals, while data service providers, also as scraping tools, should be experienced in overcoming unexpected obstacles.
- Maintenance headache. Scripts need to be updated or perhaps rewritten all the time as they will break whenever websites update provisions or codes.
- Infrastructure needs. Owning the mining process also means that you will have to get the servers to run the scripts, data storage, and transfer. There is also an honest chance that you will need a third party proxy service provider and Captcha solver. The method of putting all these things in place and maintaining them day to day is often extremely tiring and ineffective.
- Loss of focus. Why not devote more time and energy to growing your business?
- High cost.
Using a web scraping tool
Technologies are progressing much like anything, web scraping can now be automated. There are many web scraping software designed for non-technical people to recover data online. These so-called web scrapers or web extractors cross the website and capture the designated data by deciphering the HTML structure of the web page. you will be able to “tell” the scraper what you want through “streaks” and “clicks”. The program learns what you want thanks to its built-in algorithm and performs the scraping automatically. Most scraping tools are often programmed for normal extraction and built into your system.
- Suitable for non-coders. Most of them are relatively easy to use and can be handled by people with little or no technical knowledge. If you want to save a lot of time, some suppliers also offer robot configuration services in the form of training sessions.
- Economic. Most web scraping tools support monthly payments as low as $ 60 ~ $ 200 per month.
- Quick turnaround time.
- Scalable. Easily supports projects of all sizes, from one to thousands of websites. Go up the ladder as you go.
- Low maintenance cost. Since you will no longer need a technology troop to repair the tracks, you will easily keep the cost of maintenance under control.
- Full control. Once you learn the method, you will discover more crawlers or modify existing search engines without asking for help from the technical team or service provider.
- Compatibility. All web scraping tools claim to hide sites of all types, but the reality is that there will never be 100% compatibility once you try to apply too many websites.
- Learning curve. depend on the merchandise you select, it may take some time to discover the method.
- Captcha. Most online scraping tools cannot resolve Captcha.
To sum up, there are surely pros and cons with anyone among the choices you select. the appropriate approach should be one that meets your specific needs (schedule, budget, project size, etc.). An answer that works well for Fortune 500 businesses might not work for a college student. That said, weigh all the pros and cons of the different options, and most importantly, fully test the answer before committing to at least one.