Getting Started Main Features Examples

ScrapeStorm Tutorial: How to scrape detail about restaurants in La Crescenta from Yelp

2018-10-15 19:43:20
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Abstract:Abstract:This tutorial explains in detail how to extract data from a detail page via ScrapeStorm's smart mode.

Yelp is a well-known merchant review website in the United States. It includes merchants in restaurants, shopping centers, hotels, and tourism. Users can rate, submit comments, and exchange shopping experiences on the Yelp website.This tutorial explains how we extract restaurant addresses, reviews, etc. from yelp.

ScrapeStorm for Windows, MacOS and Linux Download:

http://www.scrapestorm.com/

 

Step 1.Creating a task.

Open ScrapeStorm, select “Smart Mode”, click “Start”.

Input a listing url,like:

https://www.yelp.com/search?cflt=restaurants&find_loc=La+Crescenta%2C+CA,

then click “Create”.

Step 2. Scraping into the the product listing page.

Delete unwanted fields.

Select the title link column and click “Scrape Into”.

On detail page click “Add Field” button and then select the element in web page to extract its related text.

 Rename the fields.

Step 3.Starting to extract.

Click “Start”, then you can find that ScrapeStorm has extracted more data.

Click “Export” to download your data.

After the extraction is completed, you can export the data to a local file (including excel, html, csv, etc.) and a database.

P.S. The data of the list page and the detail page will be merged during the extraction.

The following image is a screenshot of the file exported to excel2007:

If you are still confused about the process, please watch the tutorial video as below: