edmunds | Edmunds.com Ruby API Wrapper | REST library
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Edmunds.com Ruby API Wrapper.
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QUESTION
I am trying to take the star rating from this page (https://www.edmunds.com/tesla/model-3/2019/consumer-reviews/)
I am talking about the section with Safety, Performance, Comfort and so on
Here is what html code looks like:
...ANSWER
Answered 2022-Apr-15 at 12:46In general it would be quiet possible to use stripped_strings
with correct selection of elements:
QUESTION
I put the "extract the text" in caps because I have yet to see any answer that works. I need to extract every option available in a drop down list that has two nested optgroups, I DO NOT want to just simply select the values. The html is as follows:
...ANSWER
Answered 2022-Mar-16 at 00:35First thing first to select the first drop down item you need use cars[1]
instead cars[0]
because it is already selected and disabled.
To get the text from second dropdown you need to select the first dropdown item first.
So your code will be like
QUESTION
My code looks something like this at the moment:
...ANSWER
Answered 2022-Jan-06 at 17:40Perhaps there is a better solution, but you could use the parameter optionsAfterRender in the Options binding in order to modify the tag:
QUESTION
So I have this problem where I want to populate data in combobox where it has reference data.
Here is my table from excel:
And here is my form:
So when the user will input 100 in textbox
like in the image above, only alex herd
and Diana Edmunds
will be available for dropdown and selection in Party Name
combobox. How to achieve this?
ANSWER
Answered 2021-Sep-23 at 19:44As you didn't add own code, I content myself only to the core facts of your post demonstrating an approach using the dynamic array features of MS 365 via the Filter()
function, organized in a Let
-function container which allows a clear structure avoiding some redundancies and enables to define expressions ("variables") together with their contents in pairs of arguments.
Needed steps
You are referring to an existing data sheet (assuming columns A:C), so try the following steps:
- Write your textbox value into a named cell (e.g.
$D$1
, named "Number"), - Enter the following formula into cell $D$2:
QUESTION
ANSWER
Answered 2021-Aug-31 at 16:38The problem you are facing is that there is not a distinct table for each vehicle. There is one table shared by several. If you do a new web query (Query -> Web) and enter a URL like https://www.edmunds.com/lexus/ls-460/2016/cost-to-own/?style=401580678
you'll see the collection of tables. (I'm quite sure you already know this from your info above.) But if you look within the Suggested Tables, you'll see they all contain information for multiple 2016 models. I think you'll need to pull the entire table with the information you want (I think you want Table 1) and then parse that table once you get it. You can use any one of the vehicles from that table to get to the table. (It appears to me, from a quick glance, that each table is all of the vehicles from the year group).
Call your function from a new column in your first query with = Table.AddColumn(#"Expanded option", "Custom.1", each fnGetEdmunds(Text.From([loc])&"?style="&Text.From([Style])))
. You'll get some errors because some rows don't have Styles to find pages with the Cost to Own and some of the pages don't have tables with Cost to Own. So you'll have to handle those errors.
Here's M code:
QUESTION
Say I have two files
File_1, which has a list of user_ids and url (data is tab separated)
Sample of first 3 rows
...ANSWER
Answered 2021-Feb-18 at 00:48Use sed
. You regex seems to be extended regex.
QUESTION
I am trying to crawl website. The url is here https://www.edmunds.com/kia/telluride/2021/consumer-reviews/?pagesize=50
First question is there are stars for rating. So my problem is how can I get the stars they rated? I need the result in integer.
...ANSWER
Answered 2021-Jan-02 at 17:36import requests
import re
import json
import pandas as pd
def main(url):
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:84.0) Gecko/20100101 Firefox/84.0'
}
r = requests.get(url, headers=headers)
match = json.loads(
re.search(r'__PRELOADED_STATE__ = ({.+})', r.text).group(1))
allin = []
for item in match['consumerReviews']['consumerReviews']['reviews']:
goal = [
item['author']['authorName'],
item['created'],
item['vehicleRating']['overall'],
item['title'],
item['text']
]
allin.append(goal)
df = pd.DataFrame(
allin, columns=['Author', 'Date', 'Rate', 'Title', 'Content'])
df.to_csv('Data.csv', index=False)
print(df)
main('https://www.edmunds.com/kia/telluride/2021/consumer-reviews/?pagesize=50')
QUESTION
One of my columns contains the following strings:
...ANSWER
Answered 2020-Dec-16 at 22:52Check the following:
\b(?:0?[1-9]|1[012])(?:[-/.](?:0?[1-9]|[12][0-9]|3[01]))?[-/.](?:19|20)?\d\d\b
should handle the "dates (e.g. 1/31/2020, 3/20)" case(?i)\bEnd(?: DATE|(?:ing)?)\b
should handle the "strings like "Ending", "ENDING", "END", "end", "End", "END DATE" but NOT the "end" from strings that have "endemic" in them like the last one" case([\s»]){2,}
should handle the "double spaces e.g. " "" case.
Combining all:
QUESTION
I'm trying out the tidy methods that Hadley Wickham describes in this video: https://www.youtube.com/watch?v=rz3_FDVt9eg&t=1902s. It's straightforward to get certain statistics this way, as long as there is only 1 row in the tidied data frame, but the slope of each linear model is buried in the 2nd row of a tidied data frame made with Broom. My code is very similar to Hadley's, and looks like this.
...ANSWER
Answered 2020-Oct-23 at 18:29You can just pick the 2nd element of the "estimate" column of the broom
output:
QUESTION
I'm totally new to stackoverflow and to python and scrapy. I need to scrape a few glossaries, so far most went fine but I'm posting the script for the one i'm struggling with below. I only get the first entry for each letter and I can't figure out why... any help greatly appreciated! thanks! nic
here's the code:
...ANSWER
Answered 2020-Feb-06 at 14:05You can use getall()
method to return a list with all results.
By the way after getting list of results, you need to modify your code a bit to actually map between name and it's definition.
After getting the list, you can simply iterate over it then write to csv file. Below is an example:
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