If you are looking to scrape and extract ocean and freight schedules, a dedicated web scraping solution like PromptCloud is the ideal solution. Companies working in the logistics industry can incorporate ocean and freight schedules data into their applications to derive insights, optimize their operations and do market research among many other use cases. Let’s see how the freight schedules data is scraped by our dedicated web scraping solution.
Scraping ocean and freight schedules
In order to scrape ocean and freight schedules, we first study the target website to establish feasibility. The target website should allow web crawling to proceed with the project. Feasibility is established by checking the robots.txt file and TOS page of the site. If everything looks good, our team will go ahead with the web crawler setup. The crawler setup includes writing programs to navigate and fetch data from the target website in an automated fashion. Within a few days, the freight schedules data will be delivered to you in the format and delivery method chosen by you. We can deliver the data in CSV, XML and JSON formats via Amazon S3, Dropbox, FTP or REST API.
Monitoring and maintenance
One of the primary USPs of our web scraping solution is the monitoring and maintenance aspect. We take end-to-end care of the whole project and set up monitoring systems to track website changes that may need modification of the crawler set up. This is because, websites tend to undergo structural changes often and this could render the crawler set up dysfunctional. We completely own the process and perform frequent maintenance to keep crawlers running and data flowing.
Clean and ready-to-use data
When you choose to extract data using our dedicated web scraping solution, you can be confident about the quality of data you will receive. We have a well evolved web scraping infrastructure that takes care of the cleansing and structuring of data in order to output data in a machine-readable format. The only thing left for you to do is to plug this data into your database or analytics system to start using it.