Scraping restaurant and menu Information

Summary

This case study shows that how iWeb Scraping services have fulfilled the requirement of scraping reliable information and delivered the relevant service of scraping restaurant and menu information.A very well-recognized food delivery application was looking to scrape restaurant and menu data.

Key Challenges

The client asked for information regarding restaurant and menu data in the US catering to a specific price range. The targeted website was listed with hundreds of restaurants and their big menu data, hence it required huge infrastructure and high-end sources. The data required to include the whole menu, organized according to the menu sections, in addition to the demography and food details.

The client mentioned all the requirements that included targeted websites, crawling frequency, required formats, and also the data points necessary for these websites.

Proven iWeb Scraping Solution

iWeb Scraping services identified the sources that held large amounts of restaurant data. These sources were selected, and also the data schema. iWeb Scraping crawlers are set up to find and crawl pages with necessary information at multiple levels of complexity. The menu and other information about the restaurant were collected and categorized according to the patterns provided to the extractors.

All the data was merged and delivered in a CSV file and imported to the client’s database directly.

Advantages of Scraping Restaurant and Menu Data

For a non-tech customer, an end-to-end solution was developed.
All complications inside the source sites are marked properly.
Data got imported a day after the request was placed.
There is no task force from the client’s end.

Conclusion

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