I am familiar with BeautifulSoup and urllib2 to scrape data from a webpage. However, what if a parameter needs to be entered into the page before the result that I want to scrape is returned? Show
I'm trying to obtain the geographic distance between two addresses using this website: http://www.freemaptools.com/how-far-is-it-between.htm I want to be able to go to the page, enter two addresses, click "Show", and then extract the "Distance as the Crow Flies" and "Distance by Land Transport" values and save them to a dictionary. Is there any way to input data into a webpage using Python? asked Aug 13, 2011 at 0:49
1 answered Aug 13, 2011 at 0:54
mikumiku 175k46 gold badges303 silver badges307 bronze badges Yes! Try mechanize for this kind of Web screen-scraping task. answered Aug 13, 2011 at 0:57
Tim SmithTim Smith 5,9271 gold badge24 silver badges32 bronze badges I think you can also use PySide/PyQt, because they have a browser core of qtwebkit, you can control the browser to open pages, simulate human actions(fill, click...), then scrape data from pages. FMiner is work on this way, it's a web scraping software I developed with PySide. Or you can try phantomjs, it's an easy library to control browser, but not it's javascript not python lanuage. answered Aug 6, 2013 at 2:14
In addition with the answers already given, you could simply do a request on that page. Using your browser you could always inspect the Network (under Tools/Web Developer tools) behaviors and actions when you interact with the page. E.g. http://www.freemaptools.com/ajax/getaandb.php?a=Florida_Usa&b=New%20York_Usa&c=6052 -> request query for getting the results page you are expecting. Request that page and scrape the field you wanted to. IMHO, page requests are way faster than screen scraping (case-to-case basis). But of course, you could always do screen scraping/browser simulation also (Mechanize, Splinter) and use headless browsers (PhantomJS, etc.) or the browser driver of the browser you want to use. answered Aug 8, 2014 at 1:17
aldnavaldnav 18210 bronze badges The query may have been resolved. You can use Selenium WebDriver for this purpose. A web page can be interacted using programming language. All the operations can be performed as if a human user is accessing the web page. answered Apr 17, 2017 at 9:36
r_Dr_D 5481 gold badge5 silver badges14 bronze badges Web Scraping with Python Imagine you have to pull a large amount of data from websites and you want to do it as quickly as possible. How would you do it without manually going to each website and getting the data? Well, “Web Scraping” is the answer. Web Scraping just makes this job easier and faster. In this article on Web Scraping with Python, you will learn about web scraping in brief and see how to extract data from a website with a demonstration. I will be covering the following topics:
Why is Web Scraping Used?Web scraping is used to collect large information from websites. But why does someone have to collect such large data from websites? To know about this, let’s look at the applications of web scraping:
What is Web Scraping?Web scraping is an automated method used to extract large amounts of data from websites. The data on the websites are unstructured. Web scraping helps collect these unstructured data and store it in a structured form. There are different ways to scrape websites such as online Services, APIs or writing your own code. In this article, we’ll see how to implement web scraping with python. Is Web Scraping Legal?Talking about whether web scraping is legal or not, some websites allow web scraping and some don’t. To know whether a website allows web scraping or not, you can look at the website’s “robots.txt” file. You can find this file by appending “/robots.txt” to the URL that you want to scrape. For this example, I am scraping Flipkart website. So, to see the “robots.txt” file, the URL is www.flipkart.com/robots.txt. Get in-depth Knowledge of Python along with its Diverse Applications Why is Python Good for Web Scraping?Here is the list of features of Python which makes it more suitable for web scraping.
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How Do You Scrape Data From A Website?When you run the code for web scraping, a request is sent to the URL that you have mentioned. As a response to the request, the server sends the data and allows you to read the HTML or XML page. The code then, parses the HTML or XML page, finds the data and extracts it. To extract data using web scraping with python, you need to follow these basic steps:
Now let us see how to extract data from the Flipkart website using Python. Learn Python, Deep Learning, NLP, Artificial Intelligence, Machine Learning with these AI and ML courses a PG Diploma certification program by NIT Warangal. Libraries used for Web ScrapingAs we know, Python is has various applications and there are different libraries for different purposes. In our further demonstration, we will be using the following libraries:
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Let’s get started! Step 1: Find the URL that you want to scrapeFor this example, we are going scrape Flipkart website to extract the Price, Name, and Rating of Laptops. The URL for this page is https://www.flipkart.com/laptops/~buyback-guarantee-on-laptops-/pr?sid=6bo%2Cb5g&uniqBStoreParam1=val1&wid=11.productCard.PMU_V2. Step 2: Inspecting the Page The data is usually nested in tags. So, we inspect the page to see, under which tag the data we want to scrape is nested. To inspect the page, just right click on the element and click on “Inspect”. When you click on the “Inspect” tab, you will see a “Browser Inspector Box” open. Step 3: Find the data you want to extractLet’s extract the Price, Name, and Rating which is in the “div” tag respectively. Learn Python in 42 hours! Step 4: Write the codeFirst, let’s create a Python file. To do this, open the terminal in Ubuntu and type gedit <your file name> with .py extension. I am going to name my file “web-s”. Here’s the command: gedit web-s.py Now, let’s write our code in this file. First, let us import all the necessary libraries: from selenium import webdriver from BeautifulSoup import BeautifulSoup import pandas as pd To configure webdriver to use Chrome browser, we have to set the path to chromedriver driver = webdriver.Chrome("/usr/lib/chromium-browser/chromedriver") Refer the below code to open the URL: products=[] #List to store name of the product prices=[] #List to store price of the product ratings=[] #List to store rating of the product driver.get("https://www.flipkart.com/laptops/~buyback-guarantee-on-laptops-/pr?sid=6bo%2Cb5g&amp;amp;amp;amp;amp;amp;amp;amp;amp;uniq") Now that we have written the code to open the URL, it’s time to extract the data from the website. As mentioned earlier, the data we want to extract is nested in <div> tags. So, I will find the div tags with those respective class-names, extract the data and store the data in a variable. Refer the code below: content = driver.page_source soup = BeautifulSoup(content) for a in soup.findAll('a',href=True, attrs={'class':'_31qSD5'}): name=a.find('div', attrs={'class':'_3wU53n'}) price=a.find('div', attrs={'class':'_1vC4OE _2rQ-NK'}) rating=a.find('div', attrs={'class':'hGSR34 _2beYZw'}) products.append(name.text) prices.append(price.text) ratings.append(rating.text) Step 5: Run the code and extract the dataTo run the code, use the below command: python web-s.py Step 6: Store the data in a required formatAfter extracting the data, you might want to store it in a format. This format varies depending on your requirement. For this example, we will store the extracted data in a CSV (Comma Separated Value) format. To do this, I will add the following lines to my code: df = pd.DataFrame({'Product Name':products,'Price':prices,'Rating':ratings}) df.to_csv('products.csv', index=False, encoding='utf-8') Now, I’ll run the whole code again. A file name “products.csv” is created and this file contains the extracted data. I hope you guys enjoyed this article on “Web Scraping with Python”. I hope this blog was informative and has added value to your knowledge. Now go ahead and try Web Scraping. Experiment with different modules and applications of Python. If you wish to know about Web Scraping With Python on Windows platform, then the below video will help you understand how to do it or you can also join our Python Master course. Web Scraping With Python | Python Tutorial | Web Scraping Tutorial | EdurekaThis Edureka live session on “WebScraping using Python” will help you understand the fundamentals of scraping along with a demo to scrape some details from Flipkart. Got a question regarding “web scraping with Python”? You can ask it on edureka! Forum and we will get back to you at the earliest or you can join our Python Training in Hobart today.. To get in-depth knowledge on Python Programming language along with its various applications, you can enroll here for live online Python training with 24/7 support and lifetime access. How do you post data to a website in Python?The post() method sends a POST request to the specified url. The post() method is used when you want to send some data to the server.
Can you use Python to write a website?The Python programming language can be used to create a huge variety of different types of things, including websites. Making websites with Python is easier than most people think because of the fact that this language makes use of something called “frameworks.”
How do I automate live data to my website in Python?How to Automate live data to your Website with Python. web scraping with selenium using a cloud service.. converting downloaded data in a . part file to . xlsx file.. re-loading your website using the os python package.. scheduling a python script to run every day in pythonanywhere.. How does Python work with websites?Python is not used in a web browser. The language executed in browsers such as Chrome, Firefox and Internet Explorer is JavaScript. Projects such as pyjs can compile from Python to JavaScript. However, most Python developers write their web applications using a combination of Python and JavaScript.
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