Notes:
Spreadsheet scraping refers to the process of extracting data from a spreadsheet, such as a Microsoft Excel or Google Sheets document, and using it for a specific purpose. Spreadsheet scraping is often used to extract data from large or complex spreadsheets for analysis, reporting, or other purposes.
There are several ways to accomplish spreadsheet scraping, depending on the tools and technologies available. Some common methods include:
- Using a spreadsheet program’s built-in import or export functions: Many spreadsheet programs, such as Excel or Google Sheets, have built-in functions that allow users to import or export data from one spreadsheet to another, or to a different file format. These functions can be used to extract data from a spreadsheet and save it to a file that can be used elsewhere.
- Using a web scraping tool: Web scraping tools, such as Python’s Beautiful Soup library or Import.io, can be used to extract data from a spreadsheet that is available online. These tools can be used to scrape data from a webpage that displays a spreadsheet, or from an online spreadsheet that is shared publicly.
- Using an API: Some spreadsheet programs, such as Google Sheets, provide APIs (application programming interfaces) that allow developers to access and manipulate data in a spreadsheet programmatically. Developers can use these APIs to extract data from a spreadsheet and use it in another application or process.
A web scraper is a tool or piece of software that is used to extract data from websites. Web scrapers are often used to gather specific types of data from multiple websites, such as product information, pricing data, or news articles.
Web scraping, also known as web harvesting or web data extraction, refers to the process of using a web scraper to extract data from websites. This process typically involves sending a request to a website’s server, which returns the HTML code for the webpage. The web scraper then parses this HTML code to extract the specific data that is needed.
Web scraping can be useful for a variety of purposes, such as gathering data for research or analysis, monitoring online trends or activity, or creating a database of information from multiple sources. However, web scraping can also be used for malicious purposes, such as to steal sensitive information or to engage in spam or other types of online abuse. As a result, some websites and web services may block or limit web scraping activities, or may require specific permissions or credentials to access their data.
Resources:
- followerwonk.com .. helps you explore and grow your social graph
- importxml .. imports data from any of various structured data types
- nielsbosma.se/projects/seotools .. an excel add-in that adds a bunch of useful functions
Wikipedia:
References:
- Twitter Data Scraping and Insights Using Excel (2012)
- Mining Twitter Data with Excel and other tips for Twitter Analytics (2012)
- 5 Essential Spreadsheets for Social Media Analytics (2012)
- Link Prospecting with Twitter Tools and APIs (2011)
- Using Tools & APIs To Track Your Social Media Strategy (2011)
- How To Build Agile SEO Tools Using Google Spreadsheets (2011)
- Turn Google Docs Into an RSS Reader with ImportFeed (2011)
- Data Mashups with Google Spreadsheets and Yahoo Pipes (2011)
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