I have datum in a CSV file, that I would like to be graphed by the use of Google Charts. I've done some research, and concluded the best way of doing it would be:
Upload the CSV file online from the server to Quandl
Download contents of the CSV file in to a HTML template
This will all be done with a Crontab, so the graphs will be updated in intervals - ie automatically.
Q1: Is there any other known alternatives of converting contents of a CSV file to a Google Charts
Q2: Can this be done with BASH? Or is there a more appropriate/easier languages for such a project [ie Python, JS?].
This generated graph will be embedded into a website, and thus be online.
From Google Chart docs:
The most common way to use Google Charts is with simple JavaScript
that you embed in your web page. You load some Google Chart libraries,
list the data to be charted, select options to customize your chart,
and finally create a chart object with an id that you choose. Then,
later in the web page, you create a with that id to display the
Google Chart.
Then, the most common language is javascript, why are you trying something different?
Related
Essentially I'm working on a presentation and I would like to import this graph into google sheets it does not have to look the same I just need the data. I don't program in HTML so I'm not really sure what to do does anyone have ideas on how I could extract this graph data.
https://digitalik.net/btc/sf_model/#
I've tried using google sheets built-in HTML graph function but for some reason, it can't detect it so an alternative would be to download the data as an XML and paste it into sheets so that's also an option.
unfortunately not possible for a given site because it uses JavaScript and Google Sheets does not support web scraping of JS elements. you can test this simply by disabling JS for a given site and what's left can be scraped. in your case its nothing:
I have made several attempts to collect the data within this table:
The simple ways of the two functions I've commented on, I've tried, but not succeeded.
I would like to if anyone knows any other way to collect this data in Google Sheets.
Site Link:
https://www.onlinebettingacademy.com/stats/team/brazil/operrio-pr/13217#tab=t_squad
the table you want to scrape is under JavaScript control, therefore, it can't be scraped.
all you can get from that site into Google Sheets is:
=ARRAY_CONSTRAIN(IMPORTDATA(
"https://www.onlinebettingacademy.com/stats/team/brazil/operrio-pr/13217#tab=t_squad&team_id=13217"); 10000; 10)
Because the page you are trying to scape is rendered using Javascript — i.e. the content you are looking to scrape is not in the markup, you will not be able to use a tool like Google Sheets.
However... you can easily scrape this by using a "headless browser". You pretty much will use a browser (without a UI) that will render your URL with the Javascript, and then once the page is loaded, you query the data using XPATH, etc.
Check out Puppeteer for an example of a JS framework that you can use for this task.
I am trying to import data from the following website to Google Sheets. I want to import all the matches for the day.
https://www.tournamentsoftware.com/tournament/b731fdcd-a0c8-4558-9344-2a14c267ee8b/Matches
I have tried importxml and importhtml, but it seems this does not work as the website uses JavaScript. I have also tried to use Apipheny without any success.
When using Apipheny, the error message is
'Failed to fetch data - please verify your API Request: {DNS error'
Tl;Dr
Adapted from my answer to How to know if Google Sheets IMPORTDATA, IMPORTFEED, IMPORTHTML or IMPORTXML functions are able to get data from a resource hosted on a website? (also posted by me)
Please spend some time learning how to use the browsers developers tools so you will be able to identify
if the data is already included in source code of the webpage as JSON / literal JavaScript object or in another form
if the webpage is doing a GET or POST requests to retrieve the data and when those requests are done (i.e. as some point of the page parsing, or on event)
if the requests require data from cookies
Brief guide about how to use the web browser to find useful details about the webpage / data to import
Open the source code and look if the required data is included. Sometimes the data is included as JSON and added to the DOM using JavaScript. In this case it might be possible to retrieve the data by using the Google Sheets functions or URL Fetch Service from Google Apps Script.
Let say that you use Chrome. Open the Dev Tools, then look at the Elements tab. There you will see the DOM. It might be helpful to identify if the data that you want to import besides being on visible elements is included in hidden / not visible elements like <script> tags.
Look at Source, there you might be able to see the JavaScript code. It might include the data that you want to import as JavaScript object (commonly referred as JSON).
There are a lot of questions about google-sheets +web-scraping that mentions problems using importhtml and/or importxml that already have answers and even many include code (JavaScript snippets, Google Apps Script functions, etc.) that might save you to have to use an specialized web-scraping tool that has a more stepped learning curve. At the bottom of this answer there is a list of questions about using Google Sheets built-in functions, including annotations of the workaround proposed.
On Is there a way to get a single response from a text/event-stream without using event listeners? ask about using EventSource. While this can't be used on server side code, the answer show how to use the HtmlService to use it on client-side code and retrieve the result to Google Sheets.
As you already realized, the Google Sheets built-in functions importhtml(), importxml(), importdata() and importfeed() only work with static pages that do not require signing in or other forms of authentication.
When the content of a public page is created dynamically by using JavaScript, it cannot be accessed with those functions, by the other hand the website's webmaster may also purposefully have prevented web scraping.
How to identify if content is added dynamically
To check if the content is added dynamically, using Chrome,
Open the URL of the source data.
Press F12 to open Chrome Developer Tools
Press Control+Shift+P to open the Command Menu.
Start typing javascript, select Disable JavaScript, and then press Enter to run the command. JavaScript is now disabled.
JavaScript will remain disabled in this tab so long as you have DevTools open.
Reload the page to see if the content that you want to import is shown, if it's shown it could be imported by using Google Sheets built-in functions, otherwise it's not possible but might be possible by using other means for doing web scraping.
According to Wikipedia,
Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites.
Use of robots.txt to block Web crawlers
The webmasters could use robots.txt file to block access to website. In such case the result will be #N/A Could not fetch URL.
Use of User agent
The webpage could be designed to return a special a custom message instead of the data.
Below there are more details about how Google Sheets built-in "web-scraping" functions works
IMPORTDATA, IMPORTFEED, IMPORTHTML and IMPORTXML are able to get content from resources hosted on websites that are:
Publicly available. This means that the resource doesn't require authorization / to be logged in into any service to access it.
The content is "static". This mean that if you open the resource using the view source code option of modern web browsers it will be displayed as plain text.
NOTE: The Chrome's Inspect tool shows the parsed DOM; in other works the actual structure/content of the web page which could be dynamically modified by JavaScript code or browser extensions/plugins.
The content has the appropriated structure.
IMPORTDATA works with structured content as csv or tsv doesn't matter of the file extension of the resource.
IMPORTFEED works with marked up content as ATOM/RSS
IMPORTHTML works with marked up content as HTML that includes properly markedup list or tables.
IMPORTXML works with marked up content as XML or any of its variants like XHTML.
The content doesn't exceeds the maximum size. Google haven't disclosed this limit but the below error will be shown when the content exceeds the maximum size:
Resource at url contents exceeded maximum size.
Google servers are not blocked by means of robots.txt or the user agent.
On W3C Markup Validator there are several tools to checkout is the resources had been properly marked up.
Regarding CSV check out Are there known services to validate CSV files
It's worth to note that the spreadsheet
should have enough room for the imported content; Google Sheets has a 10 million cell limit by spreadsheet, according to this post a columns limit of 18278, and a 50 thousand characters as cell content even as a value or formula.
it doesn't handle well large in-cell content; the "limit" depends on the user screen size and resolution as now it's possible to zoom in/out.
References
https://developers.google.com/web/tools/chrome-devtools/javascript/disable
https://en.wikipedia.org/wiki/Web_scraping
Related
Using Google Apps Script to scrape Dynamic Web Pages
Scraping data from website using vba
Block Website Scraping by Google Docs
Is there a way to get a single response from a text/event-stream without using event listeners?
Software Recommendations
Web scraping tool/software available for free?
Recommendations for web scraping tools that require minimal installation
Web Applications
The following question is about a different result, #N/A Could not fetch URL
Inability to use IMPORTHTML in Google sheets
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One of the answers includes Google Apps Script code to get data from a JSON source. As of January 4th 2023, it's not longer working, very likely because Yahoo! Finance is now encrying the JSON. See the Tainake's answer to How to pull Yahoo Finance Historical Price Data from its Object with Google Apps Script? for script using Crypto.js to handle this.
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One answer suggest the use of an API and Google Apps Script
ImportXML is good for basic tasks, but it won't get you too far if you are serious in scraping:
The approach only works with the most basic websites (no SPAs rendered in browsers can be scraped this way. Any basic web scraping protection or connectivity issue breaks the process, and there isn't any control over HTTP request geo location, or number of retries) - and Yahoo Finance is not a simple website
If the target website data requires some cleanup post-processing, it's getting very complicated since you are now "programming with Excel formulas", rather a painful process compared to regular code writing in conventional programming languages
There isn't any proper launch and cache control, so the function can be triggered occasionally and if the HTTP request fails, cells will be populated with ERR! values
I recommend using proper tools (automation framework and scraping engine which can render JavaScript-powered websites) and use Google Sheets just for basic storage purposes:
https://youtu.be/uBC752CWTew (Pipedream for automation and ScrapeNinja engine for scraping)
I have a similar question to this one (for Pandas), in that I'd like to have the results of an SQL query appear nicely in a Slack message, as a table.
If for example I output the query results as Markdown and then paste this in Jira, a table appears exactly as I'd like it, regardless of whether column names are in snake_case. However, if I choose the Markdown (raw) code snippet in Slack, underscores are interpreted as beginning italics, which is completely wrong.
Does anyone have a better suggestion for displaying tabular results? Or forcing Markdown (raw) to ignore underscores? I tried code blocks as well but to no avail.
For info, the database IDE I'm using is DataGrip.
Slack does not have support for tables, like Jira. So your only option to to choose from workarounds. I see 3 available approaches:
1) Display in external browser
Store your data in an external web app and just post a link to Slack. That works very e.g. with Google Sheets if you use the Google Apps integrator in your Slack workspace.
2) Display as image
Another option is to generate an image (e.g. GIF) from your table and then post the image to Slack. That way the data can be displayed within Slack. To safe Slack storage space I would suggest storing the image file in an external image service (e.g. imgur) and then only post the link. Imgur has an API which would allow this process to be fully automated.
3) Display as plain text
Building upon one of the answers from the question you linked you can also convert your table into a plain text using a tool like Tabulate and then upload it as plain text snippet to Slack. That way the table could also be viewed within Slack. Note that the max size for snippet uploads is 1MB. Also, Slack will only show the first fews lines by default.
Doug here, creator of SQLBot.co. Tables are not supported in Slack, but you can get pretty close using ascii tables and code formating (three tick marks to begin and end)
Here's an example:
The only issue is that if your table gets too wide the text wraps.
Depending on how you're generating the output there may be good helpers. In the ruby world you can use the terminal-table gem or the text-table gem.
Since this comes up on a google search, and the site mentioned previously requires signup, thought I'd share what I found:
https://ozh.github.io/ascii-tables/
Just paste the output in Slack within a Code Block
I have an web (PHP) application that collects some internal usage statistics (like memory usage, transfer speed, compression ratio/speed, etc).
By using the collected data I want to create a report (a chart, a bar graph, etc) that shows this data.
Usually we have (at least) two options:
write the report with the aid of some PHP reporting engine
use an external web service where (i) I can define a report specification up-front and (ii) feed the web service with the data collected from user and retrieve (an object/image) the report representation of that data.
I'm wondering if I can use the Google Reporting API as in the case 2) above.
Everything I read about Google Reporting API looks like the Reporting API is used in connection with data collected by Google (or pushed to Google), i.e. Google Analytics.
Google has a powerful reporting engine. If I could use it somehow to create custom reports using custom data it will be a big help for my project.
#Edit: may Google Charts be the answer? I will read their specification and I'll come later with my own answer.
The question was wrong: I didn't meant "report" but "chart". So instead looking toward Google Reporting I should look toward Google Chart. Thus the answer seems now trivial: Google Chart.
Google Chart is rather a client library (eg. JavaScript) than a server library (eg. PHP).
You can plot a chart in less than 5 minutes. All you need is to link the Google's API .js file in your .html source code, create a DataTable (where you should specify the columns and their respective data), set some options for your chart (like the title, the type, the parent DIV element that will encapsulate the final child chart object). Last but not least you have to call the draw method that will plot the chart. That's all folks!