microdata | python library for extracting html microdata | Parser library
kandi X-RAY | microdata Summary
kandi X-RAY | microdata Summary
python library for extracting html microdata
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Top functions reviewed by kandi - BETA
- Get items from a location
- Extracts elements from an element
- Finds all the items in e
- Return the value of a property
- Return the value associated with the key
- Return the text of an element
- Return a list of properties
- Set a property
- Make an Item from an element
- Return the attribute of an element
- Check if an element is an element
- Return True if e is an item scope
- Return a JSON representation of the item
microdata Key Features
microdata Examples and Code Snippets
Lines of Code : 30License : Strong Copyleft (CC BY-SA 4.0)
Copyadv.crawl(proximus_sitemap['loc'], 'proximums.jl')
proximus_crawl = pd.read_json('proximums.jl', lines=True)
proximus_crawl.filter(regex='jsonld').columns
Index(['jsonld_@context', 'jsonld_@type', 'jsonld_name', 'jsonld_url',
'jsoimport json
microdata_content = response.xpath('//script[@type="application/ld+json"]/text()').extract_first()
microdata = json.loads(microdata_content)
ratingValue = microdata["aggregateRating"]["ratingValue"]
text = 'The Supplemental Tables consist of 59 detailed tables tabulated on the 2016 1-year microdata for geographies with populations of 20,000 people or more. These Supplemental Estimates are available through American FactFinder and the t = """This is a paragraph.
... { itemscope itemtype="http://schema.org/Movie"}
... """
>>> markdown.markdown(t, extensions=['attr_list'], output_format="html")
u'This is a paragraph.
'
Community Discussions
Trending Discussions on microdata
QUESTION
I want to collapse microdata with multiple observations at different times per ID. Usually an ID has the same birth country but sometimes this changes. I want to collapse my data to one observation per ID and choose the country in a way that never chooses two specific countries (e.g. Canada and Germany). E.g. if there is one observation with birth country Canada and one with US, I want to choose the US. If a person has Italy and Germany I want to choose for example Italy. If there is only one country this should be kept.
My data:
...ANSWER
Answered 2022-Mar-22 at 21:18df %>%
group_by(ID) %>%
summarize(birth_country = first(birth_country))
QUESTION
I am trying to evaluate a property tax policy that was introduced in a U.S county, where properties over a threshold (i.e. 500 square meters) faced a higher property tax rate than those below the cutoff. I have microdata for all properties in the county between 1990 and 2006. Anecdotally, I am aware that some landowners of properties over 500 square meters tried to avoid the tax by breaking their property into several sub-properties, so that they are right below the cutoff.
However, I am trying to investigate empirically by tracking two variables “lot_number” and "area" which refer to the floorplan and area for each property in the county. Specifically, if I notice that hypothetical "lot_number" A within "masterplan" 100 changes its "area" from 800 square meters before the tax to say 400 square meters post the policy announcement, then this is evidence of tax avoidance behavior.
However, I am not sure how to code my data where I can monitor tax avoidance behavior as described above.
My dataset looks as follows:
...ANSWER
Answered 2022-Feb-23 at 14:19One way of analyzing this would be to do as Nick suggested and use destring area pricesqm. Note that in the following code, I added four lines to your data example so that there was an example of a masterplan-lotnumber changing over time:
QUESTION
I'm trying to extract name, brand, prices, stock microdata from pages extracted from sitemap.xml But I'm blocked with the following step, thank you for helping me as I'm a newbie I can't understand the blocking element
- Scrape the sitemap.xml to have list of urls : OK
- Extract the metadata : OK
- Extract the product schema : OK
- Extract the products not OK
- Crawl the site and store the products not OK
- Scrape the sitemap.xml to have list of urls : OK
ANSWER
Answered 2022-Feb-24 at 14:51You can simply continue by using the advertools SEO crawler. It has a crawl function that also extracts structured data by default (JSON-LD, OpenGraph, and Twitter).
I tried to crawl a sample of ten pages, and this what the output looks like:
QUESTION
How to create Microdata markup for FAQ component when the page itself is not FAQ?
The following example is based on Google Microdata https://developers.google.com/search/docs/advanced/structured-data/faqpage but Rich Results Tool (https://search.google.com/test/rich-results) doesn't seem to recognize that at all. Unless HTML root element has additional attributes , only in that case it works. But I would prefer to have Microdata FAQs (with different content) also on some other page types so these pages will have different itemtype on root.
ANSWER
Answered 2022-Feb-21 at 08:12Please try this:
QUESTION
Following this guide from Google. I am adding Microdata to my website's breadcrumbs.
When testing my own code, I am getting the error that the field "id" is missing, while it is not from what I can see and understand. Am I missing something here or is it a bug in the test tool of Google?
You can test yourself at https://search.google.com/test/rich-results/result with below code.
...ANSWER
Answered 2022-Jan-01 at 21:00It's probably due to some internal validations that are hard to grasp. It looks like itemid requires a specific URL structure. In this case either relative or absolute URL (protocol+root+tld) work, i.e.changing "http://localhost" to "http://localhost.site" passes the test. Relative URLs also work.
So, change itemid URL to:
absolute URL:
itemid="http://localhost.site/hikes-and-walks"
or relative URL:
itemid="/hikes-and-walks"
Also, these (valid) examples won't work:
QUESTION
I want to add a new column by updating my survey design but am not sure how to do so. I am using the following website which has been a big help: http://asdfree.com/survey-of-consumer-finances-scf.html
I am using the survey of consumer finance data to come up with summaries of financial assets by various groupings. This survey has respondents answering questions and the portion I'm intersted in is the financial holdings section, in particular networth.
I first download and import the data:
...ANSWER
Answered 2021-Dec-16 at 10:12modifying the hhsex example in variable recoding step, maybe
QUESTION
I'm making a scraper to read question / answer data for students that supports RDFa, Json LD, and Microdata, but Quora confuses me. I need to understand how it's read so that I can read it in my HTML question / answer scraper for situations like this.
In a google search, I see a QA block, but if I go to the URL https://www.quora.com/What-happens-when-sodium-chloride-and-water-is-heated-to-dry I don't see any evidence of JSON LD, RDFa or Microdata. How is google reading quora's question / answer information?
Possible reasons I can think of:
- They only show that data to search engine user-agents. So perhaps I should change the user-agent to a scraper when requesting the page.
- Google figured it out on its own. This means I need to create some NLP solution to get the information.
- Key words that identify the page as question / answer.
- Google does something special for big Q/A sites like quora (but stack overflow has schema.org, so I don't think this is true).
PS: Even google doesn't show support for other formats: https://developers.google.com/search/docs/advanced/structured-data/qapage
...ANSWER
Answered 2021-Dec-10 at 14:57It's shown only to search engine user agents, use Googlebot.
@nikrant25 showed the schema does indeed exist: https://search.google.com/test/rich-results/result/r%2Fq-and-a?id=3aNOu3qg7TnhPNz-_xKuuQ . So I decided to do a scrape with Googlebot as the useragent and the schema showed up.
QUESTION
This is example of the Microdata which is attached in every email I send out to a customer:
...ANSWER
Answered 2021-Nov-11 at 14:41After reading the documentation extensively I finally found a page in their documentation explaining the entire process. We completed every step and our emails are now accepted by Google and now properly creates the visualisation when someone opens our email in GMail.
The documentation of all things required can be found here: https://developers.google.com/gmail/markup/registering-with-google
The most important part is that you need to complete the step:
- Fill out the registration form and we will get back to you.
After properly filling out the form, you will have to wait ca 48 hours before a representative from Google will contact you.
QUESTION
I was searching about microdata for Google's Sitelink Searchbox. So I found a page on google site.
this is the microdata code -
...ANSWER
Answered 2021-Oct-27 at 15:05Some meta tags are allowed inside
Permitted parents
- ...
: any element that accepts metadata content or flow content.
From the page about flow content, the elements that allow flow content include both
So while many meta tags only belong in the , when a meta tag has itemprop it can go in the (or in the ).
QUESTION
I try to get the data using scrapy from a website using following command:
...ANSWER
Answered 2021-Aug-11 at 10:07import scrapy
import json
class RefSpider(scrapy.Spider):
name = "refspider"
start_urls = ['https://www.antaranews.com/berita/2320530/gempa-di-padang-lawas-utara-dipicu-oleh-aktivitas-sesar-sumatera',
'https://www.antaranews.com/foto/2320526/penjualan-pernak-pernik-hiasan-kemerdekaan']
def parse(self, response):
jsondata = response.xpath('//script[@type="application/ld+json"]/text()').extract_first()
if jsondata is not None:
microdata = json.loads(jsondata)
author = microdata["author"]["name"]
editor = microdata["editor"]["name"]
daten = microdata["datePublished"]
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install microdata
You can use microdata like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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