Keeping your datasets updated and fresh is part of making the most out of web crawling. Many industries require fresh data to be readily available at all times to justify their service model. For example, if you have a search functionality on your app or website that displays data fetched using web scraping, you need frequent updates to the data so that the users get relevant and updated information. This requires your datasets to be always fresh. Incremental crawls and regular updates to data can be used for the same purpose.
Incremental crawl and Regular data updates
In regular data updates, the crawlers would only gather the changes in sources made since the last crawl and extraction. This solves the problem of acquiring redundant data repeatedly and keeps your datasets fresh and updated with any new information that gets added to the target sites. For the regular update model to be effective, it is given a short interval between consecutive crawls depending on the particular requirement. Shorter the interval, fresher will be the datasets. Instead of creating new datasets during every crawl, regular data updates add up to the existing datasets with new data from the same source.
Incremental crawls work in the same way but the difference here is that it will also discover new target URLs to crawl. Incremental crawls can be useful where new data has to be discovered on a continuous basis.
What data can you get
Any site live on the web can be crawled and data be extracted from it incrementally to enrich your datasets. Ecommerce sites, job portals, classified sites and real estate sites are some examples of where such crawls can be of great use. With web crawling and extraction, you can keep getting data that can be used in your application, search, or analytics system.
How PromptCloud can help
PromptCloud’s dedicated web scraping solution can be used to gather required data from the web, in a clean structured format that you can plug into your application without further processing. You can grab fresh updates to your data from the target sites or use our incremental crawl service for discovering and gathering new data. Once the initial setup is complete, the crawler keeps running on autopilot, fetching the changes made in the sites and updating your datasets with the newest additions. This makes it an ideal solution if you are looking for regular data feeds where freshness of the data matters.