In this chapter, I’ll walk you through how to scrape the top-ranking content and profiles using a Python Pinterest scraper. We would use several modules in this tutorial, which are those listed below
Table of Contents: Pinterest Scraper
4 selenium modules for a Pinterest Scraper
Expected Conditions In Selenium WebDriver
People can use expected conditions provided by Selenium WebDriver for performing Explicit Waits on a certain condition. The Selenium WebDriver waits for the specified condition to occur before it can proceed further with the execution. This provides the required wait time between the actions that it has to perform. For example, it locates the WebElement or other valid operation with the element.
WebDriverWait In Selenium
People apply it to certain elements with defined expected conditions and time. And people can only apply to the specified element. This wait can also throw an exception when an element is not found.
alertIsPresent()elementSelectionStateToBe()elementToBeClickable()elementToBeSelected()frameToBeAvaliableAndSwitchToIt()invisibilityOfTheElementLocated()invisibilityOfElementWithText()presenceOfAllElementsLocatedBy()presenceOfElementLocated()textToBePresentInElement()textToBePresentInElementLocated()textToBePresentInElementValue()titleIs()titleContains()visibilityOf()visibilityOfAllElements()visibilityOfAllElementsLocatedBy()visibilityOfElementLocated()
Key in selenium
People use Selenium’s Python Module to perform automated testing with Python. Special Keys is an exclusive feature of Selenium in python. It allows pressing keys through a keyboard such as ctrl+f, shift+c+v, etc. class selenium.webdriver.common.keys .Keys handles all Keys in Selenium Python. It contains a huge number of key methods one can use in Selenium Python.
By in selenium
Selenium Find Element command takes in the By object as the parameter and returns an object of type list WebElement in Selenium. By object in turn can be used with various locator strategies such as find elements by ID Selenium, Name, Class Name, XPATH, etc
Pinterest Scraper – SERP scraping function def pinSERP()
First thing first, people need to know the Pinterest search URL, accessible parameters, and its structure. Below is the search URL I recommend you use as a fundamental one.
qis to add the keyword you like to search in Pinterestterm_meta[]=keyword + %7Ctypedis to add each word of your keyword phrase. For example, if your keyword is canon camera, the structure should look like thisterm_meta[]=canon%7Ctyped&term_meta[]=camera%7Ctyped
As well as an Instagram bot, people need to scroll down for displaying more Pinterest pins. So you need to code a window scroll script first before fetching the post data.
Regarding the post data, Pinterest posts have several types and formats of advertising and organic posts. Each type might include more or fewer datasets, for example, some might provide the profile URL, and some might not.
Basically, the permanent dataset would be the post URL and post headline. So if you are not able to fetch the profile URL from SERP, you can fetch the post URL first instead.
Pinterest Scraper – Pin data function def pinPost()
In a Pinterest post, basically, there are two primary datasets people need to fetch, which are the profile URL and their external web URL. This is particularly helpful if you like to scrape the profile data like followers and automate the messaging afterward. For more details regarding the Pinterest bot, please check out this article
Chapter 42 – Pinterest Bot for Scraping Web URLs, Emails, and Automating Messages
Having said that, there are other types of data you can fetch from a post like a photo, user comment data, etc. But I am not going to deep dive into this article.
Full Python Script of Pinterest Scraper for Grabbing the SERP content and profiles using Keywords
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FAQ:
Q1: What is Pinterest Post Scraper?
A: Pinterest Post Scraper is a tool designed to extract data from Pinterest posts and save it for further analysis.
Q2: How does Pinterest Post Scraper work?
A: Pinterest Post Scraper works by accessing and scraping the data from Pinterest posts using APIs or web scraping techniques.
Q3: What data can be extracted using Pinterest Post Scraper?
A: Pinterest Post Scraper can extract various data from Pinterest posts, including images, descriptions, URLs, likes, comments, and more.
Q4: Is Pinterest Post Scraper legal to use?
A: While scraping data from websites may have legal implications, Pinterest Post Scraper follows Pinterest’s terms of service and API guidelines to ensure compliance. However, it is advisable to review and understand the legalities of web scraping in your jurisdiction.
Q5: How can Pinterest Post Scraper benefit eCommerce businesses?
A: Pinterest Post Scraper can help eCommerce businesses gather valuable insights from Pinterest posts, such as trending products, popular keywords, and customer preferences, which can be used for market research, content creation, and product development.
Q6: Can Pinterest Post Scraper be used for competitor analysis?
A: Yes, Pinterest Post Scraper can be used to analyze the Pinterest posts of competitors, allowing businesses to identify their strategies, top-performing products, and customer engagement techniques.
Q7: Does Pinterest Post Scraper require any coding knowledge?
A: Pinterest Post Scraper offers both user-friendly interfaces and APIs, catering to users with different technical expertise. Basic knowledge of APIs or web scraping concepts can be helpful for advanced usage.
Q8: Is Pinterest Post Scraper compatible with all operating systems?
A: Yes, Pinterest Post Scraper is compatible with major operating systems such as Windows, macOS, and Linux.
Q9: Can Pinterest Post Scraper handle a large volume of data?
A: Yes, Pinterest Post Scraper is designed to handle large amounts of data. It can efficiently extract and process data from numerous Pinterest posts.
Q10: Is there customer support available for Pinterest Post Scraper?
A: Yes, Pinterest Post Scraper offers customer support via email or online chat to assist users with any queries or issues they may encounter.