In this article, we will tell you how to scrape best hotels in San Francisco from Yelp using ScrapeStorm’s “Smart mode“.
Introduction to the scraping tool
ScrapeStorm (www.scrapestorm.com) is a new generation of Web Scraping Tool based on artificial intelligence technology. It is the first scraper to support both Windows, Mac and Linux operating systems.
Introduction to the scraping object
Yelp is a local-search service powered by crowd-sourced review forum run by an American multinational corporation headquartered in San Francisco, California.
Official Website: https://www.yelp.com/
Hotel name, title_link, Tag, Review, Address, Contact, User name, Avator, Review-content, Rating-time, Photo
Function point directory
Preview of the scraped result
Export to Excel2007:
Export images to local:
1. Download and install ScrapeStorm, then register and log in
(1) Open the ScrapeStorm official website, download and install the latest version.
(2) Click Register/Login to register a new account and then log in to ScrapeStorm.
Tips: You can use this web scraping software directly, you don’t need to register, but the tasks under the anonymous account will be lost when you switch to the registered user, so it is recommended that you use it after registration.
2. Create a task
(1) Copy the URL of Yelp
Click here to learn more about how to enter the URL correctly.
(2) Create a new smart mode task
You can create a new scraping task directly on the software, or you can create a task by importing rules.
Click here to learn how to import and export scraping rules.
3. Configure the scraping rules
(1) Set the fields
Intelligent mode automatically recognizes the fields on the page. You can right-click the field to rename the name, add or delete fields, modify data, and so on.
Click here to learn how to how to configure the extracted field.
Add or remove fields as needed, and rename the fields. The results of the field settings are as follows:
(2) Scrape into
There is only partial data on the list page, you can use the “scrape into” function to enter the detail page to scrape the data.
Click here to learn how to extract the list page plus the detail page.
From the directory “scrape into” is the software list, select the page type as a list.
(3) Manually set the page
Some web pages have special buttons on the next page, and the system may not recognize them. In this case, you need to manually set the page to “Select page button”, then click the symbol for next page.
Click here to learn how to manually select the page.
(4) Scraping pictures
When we need to download multiple images, the pictures need to be grouped together, and all the pictures can be selected at once. We can add a field and click on the entire image area in the page.
Then right click on the field and modify the extraction type to “InnerHTML”.
Click here to learn how to download images.
4. Set up and start the scraping task
(1) Running and Anti-block settings
Once the rules are configured, we can start the acquisition task. Click “Start” and then jump out of the taskbar. The taskbar interface has a “More Settings” button, which we can click to set up to improve stability and success rate.
Click “Setting”, set waiting time based on web page open speed. The anti-block settings follow the system default settings. Then click “Save”.
(2) Start scraping data
Premium Plan and above users can use “Scheduled job” and “Sync to Database”. If you want to download images, you can check “Download images while running”. Then click “Start”.
Click here to learn about scheduled job.
Click here to learn about sync to database.
Click here to learn about download images.
(3) Wait a moment, you will see the data being scraped.
5. Export and view data
(1) Click “Export” to download your data.
(2) Choose the format to export according to your needs.
ScrapeStorm provides a variety of export methods to export locally, such as excel, csv, html, txt or database. Professional Plan and above users can also post directly to wordpress.
Click here to learn more about how to view the extraction results and clear the extracted data.
Click here to learn more about how to export the result of extraction.