Did you know that there are 12 factors to be considered while acquiring data from the web? If no, fret not! Download our free guide on web data acquisition to get started!
Web scraping is done by manually coding a crawler setup that can extract data from the source websites. Since different websites could have different structures and designs, it is not possible to create a dynamic program that can crawl every website alike. The crawler is set up by identifying tags that hold certain data points in each of the source websites. These tags are coded into the crawler in order to extract them. Once the web crawler has been set up, it can be deployed on dedicated servers to be run. The crawler setup will fetch and save the data to a dump file locally or on the cloud.
This data would usually contain noise and needs to be cleaned up. Noise is the unwanted html tags and pieces of text that get scraped along with the required data. A cleaning setup can be used to remove the noise, leaving only the relevant data behind. Once the data is free from noise, it has to be structured. Structuring is done in order to make the data machine-readable. This will make it easy for the analytics system to read the data with context. It also helps you easily import this data into a database.
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Data extraction at scale is a complicated process that requires skilled labor and high-end resources. Depending on web scraping services is an easier option when it comes to data extraction for business.
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Web scraping can be tedious, especially when it comes to the large and regular volume of data requirements. But not with PromptCloud!
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