Cookie Consent by Free Privacy Policy Generator 📌 Web Scraping Job Postings: Challenges and Best Solutions

🏠 Team IT Security News

TSecurity.de ist eine Online-Plattform, die sich auf die Bereitstellung von Informationen,alle 15 Minuten neuste Nachrichten, Bildungsressourcen und Dienstleistungen rund um das Thema IT-Sicherheit spezialisiert hat.
Ob es sich um aktuelle Nachrichten, Fachartikel, Blogbeiträge, Webinare, Tutorials, oder Tipps & Tricks handelt, TSecurity.de bietet seinen Nutzern einen umfassenden Überblick über die wichtigsten Aspekte der IT-Sicherheit in einer sich ständig verändernden digitalen Welt.

16.12.2023 - TIP: Wer den Cookie Consent Banner akzeptiert, kann z.B. von Englisch nach Deutsch übersetzen, erst Englisch auswählen dann wieder Deutsch!

Google Android Playstore Download Button für Team IT Security



📚 Web Scraping Job Postings: Challenges and Best Solutions


💡 Newskategorie: Programmierung
🔗 Quelle: dev.to

There are plenty of ways to utilize job postings data for websites and companies:

  • Providing job search aggregation sites with relevant data.
  • Using the data to analyze job trends for better recruitment strategies.
  • Comparing competitor information, etc.

So, where to start when it comes to job scraping? No matter how you will be using job search aggregation data, data gathering requires scraping solutions. In this post, we’ll go over where to start, and which solutions work best.

Image description

Web scraping job sites: the challenges

Gathering job data, like any data, comes with certain challenges. First and foremost, you must decide which job aggregator sites you will be scraping. Of course, for better data analysis, more than one site should be taken into consideration.

Certainly, web scraping job postings is notoriously difficult. Most of these sites use anti-scraping techniques, meaning your proxies can get blocked and blacklisted quite quickly. Websites keep getting better at preventing automated activity. However, those collecting data are consequently improving at hiding their footprints as well.

Keep in mind that there are ways to reduce the risk of getting your proxies blocked ethically, without breaking any website regulations. Make sure when web scraping job sites, you do it the right way.  We also have a dedicated blog post explaining how to crawl a website without getting blocked.

However, the main challenge to scrape job postings comes when making a decision on how to get the data. There are a few options you can take:

  • Building and setting up a job crawler and/ or in-house web scraping infrastructure.
  • Investing in job scraping tools.
  • Buying job aggregation site databases.

Of course, there are pros and cons to each option. Building and setting up a job crawler can be pricey, especially if you don’t have a development and data analysis team. However, you won’t need to rely on any other third party to receive the data you need.

When it comes to buying a pre-built scraper, you save up on development team costs and maintenance, but as already mentioned – you will be relying on someone else to perform well for you.

One of the easier ways to get job postings data is simply buying pre-scraped databases from data companies that perform job scraping services. However, you will need to buy such data very frequently if you want to keep it fresh, as job openings are constantly changing and increasing.

As there is not a lot to explain with the last two options, we’ll go over the first one, building and setting up a job crawler, in greater detail.


Image description

Job posting scraping: building your own infrastructure

If you decide to build and set up your own job scraping tool, there are a handful of steps you should take into consideration:

  • Analyze which languages, APIs, frameworks, and libraries are the most popular and are used widely. This will save you time when making development changes in the future.
  • Create a stable and reliable testing environment, as building a job crawler will have its challenges of its own. You should have a simple version of it as well, as the decision making will come from the business side of things, not production.
  • Data storage will become an issue, so invest in more storage centers and things about space-saving methods.

These are just the main guidelines to take into consideration. Creating your own web crawler is a big commitment both financially and time-wise.

When it comes to fueling your web crawler, deciding which proxies will work best for you comes next.


Image description

Job scraping with proxies

Recommendations: Datacenter Proxies and Residential Proxies

The most common proxies for this use-case based on Oxylabs client statistics are datacenter proxies.  With generally appreciated high speeds and stability, these proxies are a go-to choice for job scraping.

Residential proxies are also used when scraping job postings, and often both datacenter and residential proxies are used to achieve the best results.

Since residential proxies offer a large proxy IP pool with country and city-level targeting, they especially suit when you need to scrape job listings from data targets in very specific geolocations.

Wrapping up

If you decide to buy a database with the necessary information for your business or you invest in a web scraper from a third party to scrape job postings, you will save time and money on development and maintenance. However, having your own infrastructure has its benefits. If done right, it can be in the same price range, and you will have an infrastructure you can completely rely on.

Choosing the right fuel for your web crawler will be the second most important part of this equation, so make sure you invest in a good provider with good knowledge of the market.  If you need some assistance with it, don’t hesitate to contact our sales team.

...



📌 Web Scraping Job Postings: Challenges and Best Solutions


📈 72.61 Punkte

📌 Help job seekers understand your job postings by including a complete description


📈 35.58 Punkte

📌 Scrapestack Web Scraping API (Review): Powerful Real-time Engine for Website Scraping


📈 35.42 Punkte

📌 Scrapestack Web Scraping API (Review): Powerful Real-time Engine for Website Scraping


📈 35.42 Punkte

📌 A Comprehensive Guide to Scraping Instagram Data. How to bypass Instagram login while scraping - Facebook Spy / Meta Spy


📈 31.51 Punkte

📌 Next.js 14 Booking App with Live Data Scraping using Scraping Browser


📈 31.51 Punkte

📌 Main challenges in web scraping


📈 30.12 Punkte

📌 6 tips for effective security job postings (and 6 missteps to avoid)


📈 28.89 Punkte

📌 Fake Texts From the Boss, Bogus Job Postings and Frankenstein Shoppers — Oh My!


📈 28.89 Punkte

📌 LINUX listed as the most in-demand programming skills based on job postings in the last 30 days


📈 27.1 Punkte

📌 Demand for software developers is still red-hot as job postings boom


📈 27.1 Punkte

📌 Lazarus Lures Aspiring Crypto Pros With Fake Exchange Job Postings


📈 27.1 Punkte

📌 Job postings hint Apple is developing its own generative AI chatbot


📈 27.1 Punkte

📌 LinkedIn's AI Generates Candidate Screening Questions From Job Postings


📈 27.1 Punkte

📌 What does "Experience with LINUX" Means in Job Postings?


📈 27.1 Punkte

📌 Anyone know where I can find 2018 flareon challenges and some web reverse engineering challenges?


📈 26.61 Punkte

📌 Integration: Data, Security, Challenges, and Best Solutions


📈 25.85 Punkte

📌 25 Best CDN Providers 2019 (sorted by best ent, best small biz, best budget and best free CDNs)


📈 25.3 Punkte

📌 Web Development Challenges and Cost-Effective Solutions


📈 25.06 Punkte

📌 Low CVE-2017-12097: Delayed job web project Delayed job web


📈 24.78 Punkte

📌 Web crawling vs. web scraping: Basic differences for top-level executives


📈 23.58 Punkte

📌 10 ideas to reverse engineer web apps : Web scraping 101


📈 23.58 Punkte

📌 Workshop „IT Security and Privacy: Technical Challenges, Ethical Conflics, and Practical Solutions ...


📈 22.95 Punkte

📌 Workshop „IT Security and Privacy: Technical Challenges, Ethical Conflics, and Practical Solutions ...


📈 22.95 Punkte

📌 Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges


📈 22.95 Punkte

📌 Incident Response Challenges : IR Evolution and Current Challenges – Part 3


📈 22.7 Punkte

📌 Dark Web sees rise in postings selling access to corporate networks


📈 22.53 Punkte

📌 Web Scraping and Machine Learning


📈 21.46 Punkte

📌 Web Scraping With NodeJS and Puppeteer


📈 21.46 Punkte

📌 Web Scraping - Is It Legal and Can It Be Prevented?


📈 21.46 Punkte

📌 Web Scraping for Fun (and Profit)…


📈 21.46 Punkte

📌 Chrome® Powered Web Scraping with Puppeteer: Boosting Speed and Efficiency


📈 21.46 Punkte

📌 Web Scraping Tutorial with Python and Beautiful Soup


📈 21.46 Punkte











matomo