Co-winner, 2010 Merle Curti Award, Organization of American HistoriansWinner, 2010 Philip Taft Labor History Book Award, ILR School at Cornell University and the Labor and Working-Class History AssociationWinner, 2010 H. L. Mitchell Award, Southern Historical Association Enslaved mariners, white seamstresses, Irish dockhands, free black domestic servants, and native-born street sweepers all navigated the low-end labor market in post-Revolutionary Baltimore. Seth Rockman considers this diverse workforce, exploring how race, sex, nativity, and legal status determined the economic opportunities and vulnerabilities of working families in the early republic. In the era of Frederick Douglass, Baltimore's distinctive economy featured many slaves who earned wages and white workers who performed backbreaking labor. By focusing his study on this boomtown, Rockman reassesses the roles of race and region and rewrites the history of class and capitalism in the United States during this time. Rockman describes the material experiences of low-wage workers—how they found work, translated labor into food, fuel, and rent, and navigated underground economies and social welfare systems. He also explores what happened if they failed to find work or lost their jobs. Rockman argues that the American working class emerged from the everyday struggles of these low-wage workers. Their labor was indispensable to the early republic’s market revolution, and it was central to the transformation of the United States into the wealthiest society in the Western world. Rockman’s research includes construction site payrolls, employment advertisements, almshouse records, court petitions, and the nation’s first “living wage” campaign. These rich accounts of day laborers and domestic servants illuminate the history of early republic capitalism and its consequences for working families.

Learn web scraping and crawling techniques to access unlimited data from any web source in any format. With this practical guide, you’ll learn how to use Python scripts and web APIs to gather and process data from thousands—or even millions—of web pages at once. Ideal for programmers, security professionals, and web administrators familiar with Python, this book not only teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing. Code samples are available to help you understand the concepts in practice. Learn how to parse complicated HTML pages Traverse multiple pages and sites Get a general overview of APIs and how they work Learn several methods for storing the data you scrape Download, read, and extract data from documents Use tools and techniques to clean badly formatted data Read and write natural languages Crawl through forms and logins Understand how to scrape JavaScript Learn image processing and text recognition

The author describes how her rejection of the materialism of her generation and her low-budget search for creative fulfillment led her to a duplex in Seattle, a beach hut in Mexico, and a Left Bank convent, but never freed her from her obligations as an American.

"In his debut, full-length collection, Shaw drills down using a series of narrative poems to consider the cost (in something more than dollars) of what it takes to feed a starving public that often finds those in the service industry to be faceless and replaceable. The work here hopes to celebrate and humanize the millions of service workers as neighbors and loved ones doing labor that is often forgotten or misunderstood. Scraping Away looks to achieve this by considering the person as more than just their job, exploring complicated family relationships and the angst of a Rust Belt adolescence."--

Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniques Key Features Learn different scraping techniques using a range of Python libraries such as Scrapy and Beautiful Soup Build scrapers and crawlers to extract relevant information from the web Automate web scraping operations to bridge the accuracy gap and manage complex business needs Book DescriptionWeb scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies. The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. You'll even cover the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs. By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools.What you will learn Analyze data and information from web pages Learn how to use browser-based developer tools from the scraping perspective Use XPath and CSS selectors to identify and explore markup elements Learn to handle and manage cookies Explore advanced concepts in handling HTML forms and processing logins Optimize web securities, data storage, and API use to scrape data Use Regex with Python to extract data Deal with complex web entities by using Selenium to find and extract data Who this book is for This book is for Python programmers, data analysts, web scraping newbies, and anyone who wants to learn how to perform web scraping from scratch. If you want to begin your journey in applying web scraping techniques to a range of web pages, then this book is what you need! A working knowledge of the Python programming language is expected.

A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query web documents and data sets (XPath and regular expressions). An extensive set of exercises are presented to guide the reader through each technique. Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management. Case studies are featured throughout along with examples for each technique presented. R code and solutions to exercises featured in the book are provided on a supporting website.

Web Scraping techniques are getting more popular, since data is as valuable as oil in 21st century. Through this book get some key knowledge about using XPath, regEX; web scraping libraries for R like rvest and RSelenium technologies. Key FeaturesTechniques, tools and frameworks for web scraping with RScrape data effortlessly from a variety of websites Learn how to selectively choose the data to scrape, and build your datasetBook Description Web scraping is a technique to extract data from websites. It simulates the behavior of a website user to turn the website itself into a web service to retrieve or introduce new data. This book gives you all you need to get started with scraping web pages using R programming. You will learn about the rules of RegEx and Xpath, key components for scraping website data. We will show you web scraping techniques, methodologies, and frameworks. With this book's guidance, you will become comfortable with the tools to write and test RegEx and XPath rules. We will focus on examples of dynamic websites for scraping data and how to implement the techniques learned. You will learn how to collect URLs and then create XPath rules for your first web scraping script using rvest library. From the data you collect, you will be able to calculate the statistics and create R plots to visualize them. Finally, you will discover how to use Selenium drivers with R for more sophisticated scraping. You will create AWS instances and use R to connect a PostgreSQL database hosted on AWS. By the end of the book, you will be sufficiently confident to create end-to-end web scraping systems using R. What you will learnWrite and create regEX rulesWrite XPath rules to query your dataLearn how web scraping methods workUse rvest to crawl web pagesStore data retrieved from the webLearn the key uses of Rselenium to scrape dataWho this book is for This book is for R programmers who want to get started quickly with web scraping, as well as data analysts who want to learn scraping using R. Basic knowledge of R is all you need to get started with this book.