A highly-specialized online tool, Price2Spy is launched back in 2011 and is now used by more than 680 companies of all sizes, worldwide.
It helps eCommerce professionals to monitor, track and analyze their competitors' or retailers' product pricing and availability. Users are offered both pricing acquisition as well as multiple reporting mechanisms for analyzing data.
Price2Spy is based on 4 main mechanisms (price comparison, price change alerts, pricing analytics, and repricing), it provides essential aid – both in everyday pricing operations (an email alert each time it detects a price or availability change) and in strategic decision-making.
With advanced features like B2B price checks (prices protected by username/password), in-cart price capturing, and stealth IP monitoring, it represents a state-of-the-art solution when it comes to price monitoring.
Price2Spy is even capable of monitoring websites that are built to shield off monitoring applications. You can virtually see the pricing of your competition even if their websites don’t want to be monitored.
The Repricing module enables you to define your own pricing strategies identity which products can go up / down in price, and get these prices changed in your online store.
There is little to be done from your end to get the system up and running. Price2Spy offers tutorials, demos, and online support to help users along the way.
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Based on our record, Yahoo! Finance seems to be more popular. It has been mentiond 207 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
From crawlbase import CrawlingAPI From bs4 import BeautifulSoup Import json Def crawl(page_url, api_token): try: # Initialize the CrawlingAPI object with the provided token api = CrawlingAPI({'token': api_token}) # Get the page content response = api.get(page_url) # Check if the request was successful if response['status_code'] != 200: print(f"Error: {response}") return {} #... - Source: dev.to / 2 months ago
I downloaded the last six months of NASDAQ Composite Index (COMP) historical data as a CSV file (available on the official website). This process applies to any kind of financial data related to stock, foreign exchange, or cryptocurrency markets. You can download such data from the NASDAQ, YAHOO Finance, or other sources. The dataset I used can be accessed here. Note that with a different dataset, the plots will... - Source: dev.to / 3 months ago
Hi I want to invest stock of Arc System Works but there is simply no Arc System Works's stock on https://finance.yahoo.com. Source: 8 months ago
Financial News Providers — Financial News providers like Bloomberg, Yahoo Finance, Google Finance, MorningStar, etc., are some of the best financial news providers in the market and are quality sources for scraping financial data. - Source: dev.to / 8 months ago
Collecting data First, gather historical stock market data. You can use free data sources such as Yahoo Finance (https://finance.yahoo.com/) or Alpha Vantage (https://www.alphavantage.co/). Sign up for a free API key if required. Source: 9 months ago
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