Scrape Data from a List of URLs

If you are looking to crawl data from a list of URLs in automation, web scraping is the best solution to get this done.

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Scraping the web using web scraping is being widely used by companies to extract data for business intelligence, content aggregation, brand monitoring, and much more similar use cases. When it comes to scraping data from websites, there are many options available from DIY scraping tools to fully managed web scraping services.

How to crawl data from a list of URLs

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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List of sources
Sound technical knowledge
High end servers to run the crawler
An extensive tech stack

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.

How Scraping Hotel Reviews Work?

With our fully managed service, you don’t have to be bothered about the complexities associated with extracting hotel reviews. The project starts with the requirement gathering phase where you simply have to share the specifics of your requirement such as the sites you need to crawl, frequency of crawls and the data fields to be extracted. Once we’ve established the feasibility of the project, our team will set up the crawlers and start delivering the data in your preferred format and frequency. We support data delivery in CSV, JSON and XML via Dropbox, Box, Amazon S3, FTP, API and more.We take end-to-end ownership of the scraping aspect and deliver the data you need, the way you need it. You can submit your requirements below to get started.