Scrapy Documentation

Description. An option to suit all requirements Splash is both an open source project and a Scrapinghub product. Spider¶ class scrapy. Scrapy also provides us with the css method, which allows for a different way of indexing and tagging elements. Configuration. A scraper is downloading pages of a website. RedisSpider enables a spider to read the urls from redis. 0 documentation. $ cd scrapy-project $ venv-activate (scrapy-project-venv) $ pip install scrapy From there, we can create our Scrapy project: $ scrapy startproject scrapy-project 3. Scrapy is a high level scraping and web crawling framework for writing spiders to crawl and parse web pages for all kinds of purposes, from information retrieval to monitoring or testing web sites. Scrapy Cluster 1. To accomplish these kinds of tasks, scrapy provides a series of built-in "processors" (such as the input_processor) and functions (such as TakeFirst()) that we can use to adjust the fields we want. Welcome to Scrapy Do's documentation!¶ Scrapy Do is a daemon that provides a convenient way to run Scrapy spiders. Fill out our contact form, or get in touch by phone or email. The Scrapy Streaming and your spider communicates using the system stdin, stdout, and stderr. This means that you must have Scrapy installed on your system to use it with the plugin. To reuse the same proxy for multiple requests, simply use the &session_number= flag (e. From the post: On 29. Then create scrapy's files. 5 documentation¶ scrapy-crawlera is a Scrapy Downloader Middleware to interact with Crawlera automatically. Scrapy Cluster supports Docker by ensuring each individual component is contained within a a different docker image. This file provides a quick guide on how to compile the Scrapy documentation. pip install -r requirements. For all other Scrapy settings please refer to the official Scrapy documentation here. Scrapy provides a built-in mechanism for extracting data (called selectors ) but you can easily use BeautifulSoup (or lxml ) instead, if you feel more comfortable working with them. Project Structure. As part of an undergraduate research project, the lead author created a web crawler with Scrapy that utilizes regular expressions to extract relevant data from geographically targeted websites. Originally designed for web scraping, it can also be used to extract data using APIs or as a general-purpose web crawler. But it should support older versions of Ubuntu too, like Ubuntu 14. Beautiful Soup 3. Scrapy - Xpath Tips - When you are using text nodes in a XPath string function, then use. Quotes to Scrape. So, don't write any data that is not a json message to the system stdout or stderr. To reuse the same proxy for multiple requests, simply use the &session_number= flag (e. @@ -18,39 +18,69 @@ the typical way of running Scrapy via ``scrapy crawl``. Creating your First Scrapy Spider. scrapy grabs data based on selectors that you provide. linkextractors import LinkExtractor available in Scrapy, but you can create your own custom Link Extractors to suit your needs by implementing a simple interface. If set to True, it will respect the provided DOWNLOAD_DELAY from Scrapy. internet import reactor from scrapy. Hopefully you now have a working Scrapy Cluster that allows you to submit jobs to the queue, receive information about your crawl, and stop a crawl if it gets out of control. Scrapy is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data mining, information processing or historical archival. pdf), Text File (. com Then write it like this: from scrapy. This option is disabled by default because you are expected to use a database or a feed exporter. The combination can be useful in discovering the annoying problems of missing pages and broken links so we can eliminate them. utils package and its sub-modules. Asking for help, clarification, or responding to other answers. Scrapy Tutorial Write your first Scrapy project. Scrapy: An open source and collaborative framework for extracting the data you need from websites. from scrapy_selenium import SeleniumRequest yield SeleniumRequest(url, self. Scrapy is a great framework for web crawling. But it should support older versions of Ubuntu too, like Ubuntu 14. handle_httpstatus_all reqmeta handle_httpstatus_list reqmeta headers (scrapy. Scrapy provides this functionality out of the box with the Feed Exports, which allows you to generate a feed with the scraped items, using multiple serialization formats and storage backends. ’s profile on LinkedIn, the world's largest professional community. I invite you to read the documentation on Spiders if you want to better understand how scraping is done when using Scrapy's Spiders. If you don't know which pages products you want, a good tool will be scrapy since you can use their crawlers to run all amazon/ebay website looking for the products without making a explicit for loop. Scrapy is one of the most popular and powerful Python scraping libraries; it takes a "batteries included" approach to scraping, meaning that it handles a lot of the common functionality that all scrapers need so developers don't have to reinvent the wheel each. Facebook for Developers empowers developers and businesses to build for the future. The following settings are Scrapy Cluster specific. Scrapy Cloud is a battle-tested platform for running web crawlers (aka. These are explained in the official Item Loaders section of the documentation. Start Scrapy Shell from your Spider Code If your spider has been behaving unexpectedly for certain responses, you can quickly see what's happening using the scrapy. Poppler comes with multiple frontends (APIs): cpp, glib and qt5. 24, use scrapy. Scrapy Streaming latest Home; Installation; Quickstart - Dmoz Streaming Spider; External Spiders; Communication Protocol; Spider Examples; Java Library; R Package. Quotes to Scrape. For more information see the crawl extension documentation. Next, Scrapy uses XPath selectors to extract data from a website. It is worth to mention Frontera project which is part of Scrapy ecosystem, serving the purpose of being crawl frontier for Scrapy spiders. These logs are hopefully verbose enough to help you figure out where things are breaking, or help you trace through the code to find where the bug lies. What follows is a working example of how to do that, using the testspiders project as example. Read the Docs simplifies technical documentation by automating building, versioning, and hosting for you. Writing your own item pipeline¶. In this tutorial, we'll assume that Scrapy-Cookies is already installed on your system. Next, Scrapy uses XPath selectors to extract data from a website. This is the documentation of Scrapinghub APIs for Scrapy Cloud and Crawlera. Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. To install it and all its dependencies run the following command from this dir. txt" in the settings. I am having trouble with logging in scrapy, and most of what I can find is out of date. Scrapy Tutorial Write your first Scrapy project. I have set LOG_FILE="log. session_number=123). Installation guide Get Scrapy-Cookies installed on your computer. Setup the environment. Writing your own item pipeline¶. scrapy startprojectコマンドでScrapyプロジェクトを作成する。 Command line tool - startproject — Scrapy 1. #Scrapy settings for ProjetVinNicolas3 project # # For simplicity, this file contains only the most important settings by # default. Spider¶ class scrapy. This method is a workaround for the above OS X issue, but it's an overall good practice for managing dependencies and can complement the first method. R examples are using the scrapystreaming package, you can read the documentation here: R Package. Callback) Callback is an interface to handle responses. Support for Python 2 will be discontinued on or after December 31, 2020—one year after the Python 2 sunsetting date. Scrapy, on the other hand, does not modify the original page HTML, so you won't be able to extract any data if you use in your XPath expressions. Do use docstrings for documenting functions not present in the official (sphinx) documentation, such as functions from scrapy. Visit the official documentation for Scrapy, there is a lot of good stuff there, like the tutorial teaching you how to create complete Scrapy projects, frequently asked questions, tips for doing huge crawls, how to debug a spider, tips on how to avoid being banned and a lot more. Here you can find a tutorial to build a scrapy spider : Tutorial: How To Scrape Amazon Using Python Scrapy - Data. If that's not the case, see Installation guide. Download the file for your platform. I recommend the Scrapy tutorial from the documentation as an introduction into the terminology and process flow of the framework. Topics: The anatomy of a Scrapy spider. They are shipped in the same APT repos of Scrapy, which can be added as described in Scrapy Ubuntu packages. The other, much simpler option is to utilize a different type of spider - the CrawlSpider ( link ). parsel is a stand-alone web scraping library which can be used without Scrapy. This preview shows page 8 - 9 out of 9 pages. It allows you to deploy projects or dependencies, schedule spiders, and retrieve scraped data or logs without leaving the command line. contrib namespace for the modules above, but if you're stuck with 0. 3 Scrapy is a fast high-levelweb crawlingandweb scrapingframework, used to crawl websites and extract structured data from their pages. The class scrapy_redis. html Here is a Python course ebook, exercises, videos that has a. The following settings are Scrapy Cluster specific. Note that since this is a precanned cluster thanks to docker compose, you have everything already spun up except the. Scrapy is a popular web scraper in Python 2. If you don't know which pages products you want, a good tool will be scrapy since you can use their crawlers to run all amazon/ebay website looking for the products without making a explicit for loop. It enables you to deploy (upload) your projects and control their spiders using a JSON API. Spider¶ This is the simplest spider, and the one from which every other spider must inherit (including spiders that come bundled with Scrapy, as well as spiders that you write yourself). Installation guide Get Scrapy installed on your computer. The io module provides Python’s main facilities for dealing with various types of I/O. Setup the environment. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. Join a community of developers, attend meetups, and collaborate online. Contact us about your web scraping requirements or questions today. Asking for help, clarification, or responding to other answers. As stated in Scrapy’s documentation, “XPath is a language for selecting nodes in XML documents, which can also be used with HTML. Scrapy Streaming latest Home; Installation; Quickstart - Dmoz Streaming Spider; External Spiders; Communication Protocol; Spider Examples; Java Library; R Package. Both can be done by modifying Scrapy settings. It can either do it once - immediately; or it can run them periodically, at specified time intervals. For more high-level documentation and user guides check the Help Center. This is the documentation of a low-level protocol that most Scrapy Cloud users don’t need to deal with. Scrapy Tutorial Write your first Scrapy project. Can scrapy be used to scrape dynamic content from websites that are using AJAX? Add documentation reference then based on that information create the requests. Run Scrapy from a script¶. Scrapy is an application framework for writing web spiders that crawl web sites and extract data from them. Scrapy - Item Loaders - Item loaders provide a convenient way to fill the items that are scraped from the websites. For example, the ItemLoader. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. Let us take a web page for tablets at AliExpress e-commerce website. Web Scraping in Python with BeautifulSoup & Scrapy Framework 4. It essentially is a walkthrough of the spider we made in python. Scrapy Cluster Documentation, Release 1. It's recommended that you have read the quickstart section before following this topic, to get more details about Scrapy Streaming and the spider being developed. You can also yield new Requests or items like a normal Scrapy Spider. If you don't know which pages products you want, a good tool will be scrapy since you can use their crawlers to run all amazon/ebay website looking for the products without making a explicit for loop. This option is disabled by default because you are expected to use a database or a feed exporter. There are 10 products in list page 1, you should extract all product links first, and for each product, you should crawl title, price, and sku. Python Scrapy tutorial covers the fundamental of Scrapy. The initial use cases for dateparser were for Scrapy projects doing web scraping that needed to parse dates from websites. The Most Trusted Distribution for Data Science. To define common output data format Scrapy provides the Item class. Uses Scrapy to crawl and scrape car manufacturer sites to gather name, address, phone and timetables for car dealers. Scrapy documentation quick start guide. Talk About Scrapy Scrapy is a web crawling framework for developer to write code to create spider , which define how a certain site (or a group of sites) will be scraped. View Faruque A. Support for Python 2 will be discontinued on or after December 31, 2020—one year after the Python 2 sunsetting date. Next, Scrapy uses XPath selectors to extract data from a website. 7 as good as possible. Scrapy spiders can return the extracted data as Python dicts. Scrapy at a glance Understand what Scrapy is and how it can help you. parse (ResponseMessage response) ¶ (void) Method to handle to response content. Wrapping it in a Docker container makes the build and deployment quite handy. It's been inspired by scrapyd but written from scratch. To set up your dev environment install scrapy. The class scrapy_redis. 6 documentation¶ scrapy-crawlera is a Scrapy Downloader Middleware to interact with Crawlera automatically. If no relevant options are set, the commands python and python2 will use the latest Python 2. Welcome to shub’s documentation!¶ shub is the Scrapinghub command line client. Scrapy Documentation Week 5 - 11/26. Anaconda Community Open Source NumFOCUS. A high-level Python Screen Scraping framework. Scrapy Documentation, Release 1. Visit the official documentation for Scrapy, there is a lot of good stuff there, like the tutorial teaching you how to create complete Scrapy projects, frequently asked questions, tips for doing huge crawls, how to debug a spider, tips on how to avoid being banned and a lot more. Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. 4 A high-level Python Screen Scraping framework Documentation Support About Anaconda, Inc. Bear in mind that, from my testing, for example, Scraping thousand pages from Wikipedia was 20 times faster, believe it or not, in Scrapy than in Selenium. add_value() method should be documented in the sphinx documentation, not its docstring. Scrapy Cluster Documentation, Release 1. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. A common (and useful) convention to use for the version name is the revision number of the version control tool you’re using to track your Scrapy project code. To use everything scrapy cluster has to offer with your new Spider, you need your class to inherit from our RedisSpider base class. If that's not the case, see Installation guide. We need an expert to quickly identify the cause and apply solution - It should not take an expert more than 1 hour to complete this task. Hopefully you now have a working Scrapy Cluster that allows you to submit jobs to the queue, receive information about your crawl, and stop a crawl if it gets out of control. If set to True, it will respect the provided DOWNLOAD_DELAY from Scrapy. For help guides and other articles please check our Help Center. Understand why its necessary to Scrapy-ify early on, Anatomy of a Scrapy Spider, Using the interactive shell, What are items and how to use item loaders, Examples of pipelines and middlewares, Techniques to avoid getting banned, How to deploy Scrapy projects. But it should support older versions of Ubuntu too, like Ubuntu 14. Instead, we recommend that you install Scrapy and Scrapy-Cookies within a so-called "virtual environment". Collecting Air Quality of main European cities. However, the site is protected against scraping ! We must use Scrapoxy to bypass the protection. Anaconda. Now we are going to create a spider to crawl twitch. py is simple. utils package and its sub-modules. This video shows how to create a Scrapy spider using the selectos built in the previous video. 0 Scrapy developersGetting help. Field The taskid field is the taskid you can get in each task, and the data is the data scraped, in most cases, the data field is a dict python type. Faruque has 6 jobs listed on their profile. Type Size Name Uploaded Uploader Downloads Labels; conda: 629. For example, the ItemLoader. Hello everyone! This is the completion video of our first coding challenge: Making a web scraper WITHOUT using BeautifulSoup. Writing your own item pipeline¶. Request objects returned by the start_requests method of the Spider. Scrapy is currently tested with recent-enough versions of lxml, twisted and pyOpenSSL, and is compatible with recent Ubuntu distributions. The Scrapy Tutorial. Scrapy Configuration¶ For getting Scrapy to work the recommended way to start a new Scrapy project normally is to create a directory and template file structure with the scrapy startproject myscrapyproject command on the shell first. Audience This tutorial is designed for software programmers who need to learn Scrapy web crawler from scratch. It is worth to mention Frontera project which is part of Scrapy ecosystem, serving the purpose of being crawl frontier for Scrapy spiders. If the website doesn't have an API, we can build a solution to parse the data we need into a format we can use. Let us take a web page for tablets at AliExpress e-commerce website. Model inheritance ¶ Model inheritance in Django works almost identically to the way normal class inheritance works in Python, but the basics at the beginning of the page should still be followed. 24, use scrapy. Anaconda Cloud Gallery. "Programming with libxml2 is like the thrilling embrace of an exotic stranger. Documentation ¶. Detail of task¶. Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. You can view the source code on github. linkextractors import LinkExtractor from scrapy. @@ -18,39 +18,69 @@ the typical way of running Scrapy via ``scrapy crawl``. Using the Frontier with Scrapy¶ To use Frontera with Scrapy, you will need to add Scrapy middlewares and redefine the default Scrapy scheduler with custom Frontera scheduler. Scrapy Configuration¶. Scrapy at a glance Understand what Scrapy is and how it can help you. The commands python3. The first cloud unit is free. cfg : It is a project configuration file which contains information for setting module for the project along with its deployment information. Installation guide Get Scrapy installed on your computer. pip install -r requirements. Scrapy Pros and Cons. However we are experiencing some major growing pains with handling all the data and I think scrapy cluster might solve some of that. In a fast, simple, yet extensible way. Provide details and share your research! But avoid …. Support for Python 2 will be discontinued on or after December 31, 2020—one year after the Python 2 sunsetting date. It can be used as pocket reference. Recently many websites start to use json format to save data. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. Scrapy is a brilliant and well documented crawler written in python. Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. By default, Scrapy doesn't wait a fixed amount of time between requests, but uses a random interval between 0. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. The Spider implements this interface, and you need to provide a callback instance to open new requests. Installation guide Get Scrapy installed on your computer. Scrapy and Elasticsearch by Florian Hopf. Java examples are using the scrapystreaming library, you can read the documentation here: Java Library. Visit the official documentation for Scrapy, there is a lot of good stuff there, like the tutorial teaching you how to create complete Scrapy projects, frequently asked questions, tips for doing huge crawls, how to debug a spider, tips on how to avoid being banned and a lot more. from scrapy_selenium import SeleniumRequest yield SeleniumRequest(url, self. add_value() method should be documented in the sphinx documentation, not its docstring. Python packages can be installed either globally (a. DISCLAIMER: This video is for educational purposes only. I have set LOG_FILE="log. 1 Documentation Edit on GitHub This documentation provides everything you need to know about the Scrapy based distributed crawling project, Scrapy Cluster. txt Compile the documentation. Deploying dateparser in a Scrapy Cloud project¶. 11/Scrapy 1. 0 documentation. So, don't write any data that is not a json message to the system stdout or stderr. The directory where the Scrapy items will be stored. Scrapy at a glance Understand what Scrapy is and how it can help you. 3-py27hc56fc5f_0. Scrapy is a free and open source web crawling framework, written in Python. Scrapy - Xpath Tips - When you are using text nodes in a XPath string function, then use. By default, Scrapy doesn't wait a fixed amount of time between requests, but uses a random interval between 0. The initial use cases for dateparser were for Scrapy projects doing web scraping that needed to parse dates from websites. Remember that Scrapy is built on top of the Twisted asynchronous networking library, so you need to run it inside the Twisted reactor. Scrapy provides an item pipeline for downloading images attached to a particular item, for example, when you scrape products and also want to download their images locally. # Configure maximum concurrent requests performed by Scrapy (default: 16) #CONCURRENT_REQUESTS = 32 # Configure a delay for requests for the same website (default: 0). Examples Learn more by playing with a pre-made Scrapy project. Scrapy Documentation Week 5 - 11/26. 24, use scrapy. These logs are hopefully verbose enough to help you figure out where things are breaking, or help you trace through the code to find where the bug lies. “An open source and collaborative framework for extracting the data you need from websites. I recommend the Scrapy tutorial from the documentation as an introduction into the terminology and process flow of the framework. For this example we're going to scrape Bootstrap's documentation page for tables. Setup the environment. Quick search. This file provides a quick guide on how to compile the Scrapy documentation. Need help cloning? Learn how to clone a repository. 2 You now appear to have a working docker environment, so jump down to Your First Crawl to finish the quickstart. Uses Scrapy to crawl and scrape taxi and transportation sites to gather rates, coverage zones, and deals. In this video we install scrapy using the terminal so you can use it with Sublime text, VScode or any IDE. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. Scrapy is an excellent tool to scrape websites. py file and from the documentation, this should work: Scrapy provides a logger within each Spider instance, that can be accessed and used like this:. For more high-level documentation and user guides check the Help Center. Allogarage: Allogarage is the leading company in France to compare auto mechanics. from scrapy_selenium import SeleniumRequest yield SeleniumRequest(url, self. It's recommended that you have read the quickstart section before following this topic, to get more details about Scrapy Streaming and the spider being developed. Next, Scrapy uses XPath selectors to extract data from a website. So we need to learn how to handle this situation. There is scrapy. If you don't know which pages products you want, a good tool will be scrapy since you can use their crawlers to run all amazon/ebay website looking for the products without making a explicit for loop. Recently many websites start to use json format to save data. Beautiful Soup 3. A database). To define common output data format Scrapy provides the Item class. This command has three parts. If the website doesn't have an API, we can build a solution to parse the data we need into a format we can use. Scrapy Configuration¶. Scrapy is currently tested with recent-enough versions of lxml, twisted and pyOpenSSL, and is compatible with recent Ubuntu distributions. 3 Scrapy is a fast high-levelweb crawlingandweb scrapingframework, used to crawl websites and extract structured data from their pages. A scraper is downloading pages of a website. The value of session can be any integer, simply send a new integer to create a new session (this will allow you to continue using the same proxy for each request with that session number). Conda Files; Labels; Badges; Error. James Park. Hi Sanad, I am currently started using scrapy but two roadblocks I have first in our domain we need to crawl pdf pages which scrapy doesn’t provide and after googling I found couple of paid ways which we don’t prefer, second how we write junit for any scrapy code to do unit testing is there any framework for this?. Scrapy shell¶ The Scrapy shell is an interactive shell where you can try and debug your scraping code very quickly, without having to run the spider. Therefore, you should keep in mind the following things when working with Firefox and XPath: Disable Firefox Javascript while inspecting the DOM looking for XPaths to be used in Scrapy. Find your next big opportunity with us, remotely. Scrapy i About the Tutorial Scrapy is a fast, open-source web crawling framework written in Python, used to extract the data from the web page with the help of selectors based on XPath. For each crawl it creates handler that's attached to the root logger and collects log records for which it can determine what spider object current log is related to. Hello everyone, I'm very pleased to announce the first release candidate of Scrapy 0. Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. This video shows how to create a Scrapy spider using the selectos built in the previous video. Superior data you can rely on from Scrapinghub. Scrapy provides reusable item pipelines for downloading files attached to a particular item (for example, when you scrape products and also want to download their images locally). "Programming with libxml2 is like the thrilling embrace of an exotic stranger. Unfortunately scrapy doesn't document extract_first, but looking at the source they use Parsel. scrapy shellによるデバッグについても述べる。 scrapy startprojectでプロジェクト生成. 2 You now appear to have a working docker environment, so jump down to Your First Crawl to finish the quickstart. PyMongo is a Python distribution containing tools for working with MongoDB, and is the recommended way to work with MongoDB from Python. Settings¶ The Scrapy settings allows you to customize the behaviour of all Scrapy components, including the core, extensions, pipelines and spiders themselves. Scrapy is an application framework for writing web spiders that crawl web sites and extract data from them. The directory where the Scrapy items will be stored. Scrapy provides an extendible web scraping framework we can utilize to extract structured data. In fact, Scrapy documentation is the BEST tutorial. You can find the docker compose files in the root of the project, and the Dockerfiles themselves and related configuration is located within the /docker/ folder. If you're not sure which to choose, learn more about installing packages. Documentation JOIN OUR MAILING LIST Sign up to stay in the loop with all things Plotly — from Dash Club to product updates, webinars, and more! Subscribe. The reason for this is the very poor maintenance of the Scrapy documentation, combined with many recent updates & changes. Q&A for Work. Scrapy Documentation Week 5 - 11/26. scrapy-crawlera 1. So far 40+ community members have contributed to this project (See the closed pull requests). It’s been inspired by scrapyd but written from scratch. Scrapy-Cookies Tutorial Write your first project with Scrapy-Cookies. 3 Scrapy is a fast high-levelweb crawlingandweb scrapingframework, used to crawl websites and extract structured data from their pages. utils package and its sub-modules. Scrapy is a popular web scraper in Python 2. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: