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Webharvy Zip: How to Run Web Scraping Tasks from Cloud with Ease
Webharvy Zip: What is it and how to use it?
Have you ever wanted to scrape data from any website without writing code or scripts? Have you ever wondered how to extract data from websites that require login, form submission, navigation, pagination, categories or keywords? Have you ever wished you could use proxies and schedule scraping tasks easily? If you answered yes to any of these questions, then you need Webharvy Zip.
Webharvy Zip
Download File: https://www.google.com/url?q=https%3A%2F%2Furlcod.com%2F2ulHTc&sa=D&sntz=1&usg=AOvVaw37gopElgC0zJEKq4ACna7I
Webharvy Zip is a powerful web scraping software that lets you scrape data from any website with a simple point and click interface. You can download Webharvy Zip as a compressed file that contains all the necessary files and components to run Webharvy on your Windows computer. You can also run Webharvy Zip from cloud using Amazon AWS EC2 Windows Instance or Microsoft Azure Cloud.
In this article, we will show you the benefits of using Webharvy Zip, how to download, install and use it, and some tips and tricks for scraping data from various websites. By the end of this article, you will be able to scrape data like a pro using Webharvy Zip.
Benefits of using Webharvy Zip
Webharvy Zip has many advantages over other web scraping tools. Here are some of them:
It is incredibly easy-to-use. You don't need to write code or scripts to scrape data. You just need to select the data elements on the web page using your mouse and Webharvy will automatically extract them.
It is versatile. You can scrape data from any website, whether it is static or dynamic, simple or complex, HTML or AJAX. You can also handle login, form submission, navigation, pagination, categories and keywords using Webharvy.
It is fast. You can scrape data from multiple pages or websites in parallel using multiple threads. You can also use proxies and schedule scraping tasks to run at specific times or intervals.
It is reliable. You can resume scraping from where you left off in case of interruption or error. You can also configure retry options and error handling settings to ensure successful scraping.
It is flexible. You can export scraped data in various formats such as CSV, XML, JSON, SQL or Excel. You can also save scraped data to databases such as MySQL, SQL Server or Oracle.
How to download Webharvy Zip
To To download Webharvy Zip, you need to visit the official website of Webharvy. There, you will find a link to download the latest version of Webharvy Zip. The file size is about 70 MB and it will take a few minutes to download depending on your internet speed. Alternatively, you can also use this direct link to download Webharvy Zip. This link will always point to the latest version of Webharvy Zip available on the website. Once you have downloaded Webharvy Zip, you need to extract it to a folder on your computer. You can use any file compression software such as WinZip, WinRAR or 7-Zip to extract the file. You will see a folder named Webharvy with several files and subfolders inside it. How to install Webharvy Zip
One of the advantages of Webharvy Zip is that you don't need to install it on your computer. You can run it directly from the extracted folder without any installation or registration. This makes it portable and convenient to use.
To run Webharvy Zip, you need to double-click on the file named WebHarvy.exe in the extracted folder. This will launch the Webharvy application and you will see the main window with a toolbar, a browser and a configuration panel.
The first time you run Webharvy Zip, you will see a message box asking you to enter your license key. If you have purchased a license for Webharvy, you can enter your license key and click OK. This will activate your copy of Webharvy and remove the trial limitations.
If you don't have a license key, you can click Cancel and continue using Webharvy Zip in trial mode. The trial mode allows you to use all the features of Webharvy for 15 days with some limitations. You can only scrape data from 25 pages per website and you cannot export scraped data to databases or Excel.
If you want to buy a license for Webharvy, you can visit the pricing page on the website and choose the plan that suits your needs. You can pay using PayPal or credit card and you will receive your license key by email within minutes.
How to use Webharvy Zip
Using Webharvy Zip is very easy and intuitive. You just need to follow these steps:
Enter the URL of the website that you want to scrape data from in the browser address bar and press Enter. This will load the web page in the browser.
Select the data elements that you want to scrape by clicking on them with your mouse. You will see a green box around the selected element and a yellow box around similar elements on the page. You can also use Ctrl+Click or Shift+Click to select multiple elements.
Click on the Capture button on the toolbar or press F5 to capture the selected data. You will see a dialog box where you can edit the name and type of the data field. You can also apply various options such as regex, trim, split, join, etc. to modify the captured data.
Repeat steps 2 and 3 for all the data fields that you want to scrape from the web page.
Click on the Start button on the toolbar or press F9 to start scraping data from the web page. You will see a progress bar showing the number of pages scraped and the number of records extracted.
Click on the Export button on the toolbar or press F10 to export scraped data in various formats such as CSV, XML, JSON, SQL or Excel. You can also save scraped data to databases such as MySQL, SQL Server or Oracle.
How to scrape data from any website using Webharvy Zip
Webharvy Zip can scrape data from any website, whether it is static or dynamic, simple or complex, HTML or AJAX. You just need to select the data elements on the web page using your mouse and Webharvy will automatically extract them.
For example, let's say you want to scrape product details from an e-commerce website such as Amazon. Here are the steps that you need to follow:
Enter the URL of the product page that you want to scrape data from in the browser address bar and press Enter. This will load the product page in the browser.
Select Select the data elements that you want to scrape from the product page, such as the product title, price, rating, reviews, features, images, etc. by clicking on them with your mouse. You will see a green box around the selected element and a yellow box around similar elements on the page. You can also use Ctrl+Click or Shift+Click to select multiple elements.
Click on the Capture button on the toolbar or press F5 to capture the selected data. You will see a dialog box where you can edit the name and type of the data field. You can also apply various options such as regex, trim, split, join, etc. to modify the captured data.
Repeat steps 2 and 3 for all the data fields that you want to scrape from the product page.
If you want to scrape data from multiple product pages, you need to configure pagination or category settings in Webharvy. To do this, click on the Next button or the Category link on the web page and select Follow this link from the menu. You will see a dialog box where you can specify how many pages or categories you want to scrape.
Click on the Start button on the toolbar or press F9 to start scraping data from the product pages. You will see a progress bar showing the number of pages scraped and the number of records extracted.
Click on the Export button on the toolbar or press F10 to export scraped data in various formats such as CSV, XML, JSON, SQL or Excel. You can also save scraped data to databases such as MySQL, SQL Server or Oracle.
How to handle login, form submission, navigation, pagination, categories and keywords using Webharvy Zip
Some websites require login, form submission, navigation, pagination, categories or keywords to access or display data. Webharvy Zip can handle these scenarios easily using its built-in features.
For example, let's say you want to scrape job listings from a website such as Indeed. Here are the steps that you need to follow:
Enter the URL of the website that you want to scrape data from in the browser address bar and press Enter. This will load the website in the browser.
If the website requires login, you need to enter your username and password in the login form and click on the Login button. Webharvy will automatically record your login actions and replay them when scraping.
If the website requires form submission, you need to enter your search criteria in the form fields and click on the Search button. Webharvy will automatically record your form submission actions and replay them when scraping.
If the website requires navigation, you need to click on the links or buttons that lead you to the web page that contains the data that you want to scrape. Webharvy will automatically record your navigation actions and replay them when scraping.
Select Select the data elements that you want to scrape from the job listing page, such as the job title, company name, location, salary, description, etc. by clicking on them with your mouse. You will see a green box around the selected element and a yellow box around similar elements on the page. You can also use Ctrl+Click or Shift+Click to select multiple elements.
Click on the Capture button on the toolbar or press F5 to capture the selected data. You will see a dialog box where you can edit the name and type of the data field. You can also apply various options such as regex, trim, split, join, etc. to modify the captured data.
Repeat steps 5 and 6 for all the data fields that you want to scrape from the job listing page.
If you want to scrape data from multiple job listing pages, you need to configure pagination or category settings in Webharvy. To do this, click on the Next button or the Category link on the web page and select Follow this link from the menu. You will see a dialog box where you can specify how many pages or categories you want to scrape.
If you want to scrape data from different keywords, you need to configure keyword settings in Webharvy. To do this, click on the Keyword button on the toolbar and enter a list of keywords that you want to search for. You can also use a text file or an Excel file as a source of keywords.
Click on the Start button on the toolbar or press F9 to start scraping data from the job listing pages. You will see a progress bar showing the number of pages scraped and the number of records extracted.
Click on the Export button on the toolbar or press F10 to export scraped data in various formats such as CSV, XML, JSON, SQL or Excel. You can also save scraped data to databases such as MySQL, SQL Server or Oracle.
How to use proxies and schedule scraping using Webharvy Zip
Sometimes, you may need to use proxies and schedule scraping tasks to avoid getting blocked by websites or to run scraping tasks at specific times or intervals. Webharvy Zip can help you with these features as well.
For example, let's say you want to use proxies and schedule scraping tasks for scraping product details from an e-commerce website such as Amazon. Here are the steps that you need to follow:
Enter the URL of the product page that you want to scrape data from in the browser address bar and press Enter. This will load the product page in the browser.
Select as the date, time, keyword, etc. to create dynamic file names.
If you want to export scraped data to a database, you need to select the database type from the drop-down list. You can choose from MySQL, SQL Server or Oracle.
Specify the connection string and the table name where you want to save the scraped data. You can also use variables such as the date, time, keyword, etc. to create dynamic table names.
Click on the Export button to start exporting scraped data. You will see a message box showing the status of the export process.
Tips and tricks for using Webharvy Zip
Webharvy Zip is a powerful and versatile web scraping software that can handle any web scraping scenario. However, there are some tips and tricks that can help you get the most out of Webharvy Zip and scrape data more efficiently and effectively. Here are some of them:
How to scrape property listings for a list of ZIP codes in Zillow using Webharvy Zip
Zillow is a popular online real estate marketplace that provides information about homes for sale, rent, value, etc. You can use Webharvy Zip to scrape property listings for a list of ZIP codes in Zillow using the following steps:
Create a text file or an Excel file that contains a list of ZIP codes that you want to scrape property listings for. For example, you can create a file named zipcodes.txt with the following content:
98052 98053 98074 98075
Enter the URL of the Zillow website in the browser address bar and press Enter. This will load the Zillow website in the browser.
Click on the Keyword button on the toolbar and select Load Keywords from File from the menu. You will see a dialog box where you can browse and select the file that contains the list of ZIP codes.
Select the file named zipcodes.txt and click Open. You will see a message box showing the number of keywords loaded.
Click on the Start button on the toolbar or press F9 to start scraping data from Zillow. Webharvy will automatically search for each ZIP code in the file and load the corresponding property listing page.
Select Select the data elements that you want to scrape from the property listing page, such as the property address, price, beds, baths, sqft, type, year built, etc. by clicking on them with your mouse. You will see a green box around the selected element and a yellow box around similar elements on the page. You can also use Ctrl+Click or Shift+Click to select multiple elements.
Click on the Capture button on the toolbar or press F5 to capture the selected data. You will see a dialog box where you can edit the name and type of the data field. You can also apply various options such as regex, trim, split, join, etc. to modify the captured data.
Repeat steps 6 and 7 for all the data fields that you want to scrape from the property listing page.
If you want to scrape data from multiple property listing pages for each ZIP code, you need to configure pagination settings in Webharvy. To do this, click on the Next button on the web page and select Follow this link from the menu. You will see a dialog box where you can specify how many pages you want to scrape for each ZIP code.
Click on the Export button on the toolbar or press F10 to export scraped data in various formats such as CSV, XML, JSON, SQL or Excel. You can also save scraped data to databases such as MySQL, SQL Server or Oracle.
How to scrape data from dynamic websites using Webharvy Zip
Some websites use dynamic technologies such as AJAX, JavaScript or Flash to load or display data. Webharvy Zip can scrape data from these websites using its advanced features such as JavaScript execution and browser automation.
For example, let's say you want to scrape stock prices from a website such as Yahoo Finance. Here are the steps that you need to follow:
Enter the URL of the website that you want to scrape data from in the browser address bar and press Enter. This will load the website in the browser.
If the website uses JavaScript or AJAX to load or display data, you need to enable JavaScript execution in Webharvy. To do this, click on the Settings button on the toolbar and select Browser Settings from the menu. You will see a dialog box where you can check the option Enable JavaScript Execution.
If the website uses Flash to load or display data, you need to enable Flash plugin in Webharvy. To do this, click on the Settings button on the toolbar and select Browser Settings from the menu. You will see a dialog box where you can check the option Enable Flash Plugin.
Select Select the data elements that you want to scrape from the stock price page, such as the stock symbol, name, price, change, volume, etc. by clicking on them with your mouse. You will see a green box around the selected element and a yellow box around similar elements on the page. You can also use Ctrl+Click or Shift+Click to select multiple elements.
Click on the Capture button on the toolbar or press F5 to capture the selected data. You will see a dialog box where you can edit the name and type of the data field. You can also apply various options such as regex, trim, split, join, etc. to modify the captured data.
Repeat steps 4 and 5 for all the data fields that you want to scrape from the stock price page.
If you want to scrape data from different stock symbols, you need to configure keyword settings in Webharvy. To do this, click on the Keyword button on the toolbar and enter a list of stock symbols that you want to search for. You can also use a text file or an Excel file as a source of keywords.
Click on the Start button on the toolbar or press F9 to start scraping data from Yahoo Finance. Webharvy will automatically search for each stock symbol in the file and load the corresponding stock price page.
Click on the Export button on the toolbar or press F10 to export scraped data in various formats such as CSV, XML, JSON, SQL or Excel. You can also save scraped data to databases such as MySQL, SQL Server or Oracle.
How to scrape data from websites with anti-scraping measures using Webharvy Zip
Some websites use anti-scraping measures such as CAPTCHA, IP blocking, user-agent detection, etc. to prevent or limit web scraping activities. Webharvy Zip can bypass these measures using its browser automation and proxy features.
For example, let's say you want to scrape hotel reviews from a website such as TripAdvisor. Here are the steps that you need to follow:
Enter the URL of the hotel page that you want to scrape reviews from in the browser address bar and press Enter. This will load the hotel page in the browser.
If the website uses CAPTCHA to verify human users, you need to solve it manually by entering the correct answer in the CAPTCHA box and clicking on the Submit button. Webharvy will automatically record your CAPTCHA solving actions and replay them when scraping.
If the website blocks your IP address after a certain number of requests, you need to use proxies for scraping. To do this, click on the Settings button on the toolbar and select Proxy Settings from the menu. You will see a dialog box where you can enter a list of proxies that you want to use. You can also use a text file or an Excel file as a source of proxies.
If If the website detects your user-agent and blocks or redirects you to a different page, you need to change your user-agent for scraping. To do this, click on the Settings button on the toolbar and select Browser Settings from the menu. You will see a dialog box where you can enter a custom user-agent string that mimics a real browser.
Select the data elements that you want to scrape from the hotel review page, such as the reviewer name, rating, date, title, text, etc. by clicking on them with your mouse. You will see a green box around the selected element and a yellow box around similar elements on