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I want to fetch data from a website and put in MySQL workbench, but it's not working

First time programmer here, please don't be harsh on me.
I want to fetch data from the URL's and put it inside MYSQL workbench database, it says that it's working, see image: enter image description here. But it's not doing so, what is wrong in the script?
# GET ALL WorldRecords from https://api.isuresults.eu/records
import requests
import pandas as pd
from pandas.io.json import json_normalize
from helper_db import make_db_connection
engine = make_db_connection
def get_isu_worldrecord_db(engine):
URL = "https://api.isuresults.eu/records/?type=WR"
df_final=pd.DataFrame()
for i in range(1,20):
params = {'page': i}
api = requests.get(url=URL, params=params)
data = api.json()
df = json_normalize(data,'results')
df_final=df_final.append(df,ignore_index=True,sort=False)
df_final=df_final.drop(['laps'], axis=1)
df_final.to_sql("Tester", con=engine,if_exists="replace", chunksize=1000)
return

You define this method, but you don't really run it.
Add another line at the last:
get_isu_worldrecord_db(engine)

Unable to extract the table from API using python

I am trying to extract a table using an API but I am unable to do so. I am pretty sure that I am not using it correctly, and any help would be appreciated.
Actually I am trying to extract a table from this API but unable to figure out the right way on how to do it. This is what is mentioned in the website. I want to extract Latest_full_data table.
This is my code to get the table but I am getting error:
import urllib
import requests
import urllib.request
locu_api = 'api_Key'
def locu_search(query):
api_key = locu_api
url = 'https://www.quandl.com/api/v3/databases/WIKI/metadata?api_key=' + api_key
response = urllib.request.urlopen(url).read()
json_obj = str(response, 'utf-8')
datanew = json.loads(json_obj)
return datanew
When I do print(datanew). Update: Even if I change it to return data new, error is still the same.
I am getting this below error:
name 'datanew' is not defined

I had the same issues with urrlib before. If possible, try to use requests it's a better designed and working library in my opinion. Also, it is capable of reading JSON with a single function so no need to run it through multiple lines Sample code here:
import requests
locu_api = 'api_Key'
def locu_search():
url = 'https://www.quandl.com/api/v3/databases/WIKI/metadata?api_key=' + api_key
return requests.get(url).json()
locu_search()
Edit:
The endpoint that you are calling might not be the correct one. I think you are looking for the following one:
import requests
api_key = 'your_api_key_here'
def locu_search(dataset_code):
url = f'https://www.quandl.com/api/v3/datasets/WIKI/{dataset_code}/metadata.json?api_key={api_key}'
req = requests.get(url)
return req.json()
data = locu_search("FB")
This will return with all the metadata regarding a company. In this case Facebook.

Maybe it doesn't apply to your specific problem, but what I normally do is the following:
import requests
def get_values(url):
response = requests.get(url).text
values = json.loads(response)
return values

scraping data from json after using requests

i am trying to extract specific data from requested json file
so after passing Authorization and using requests.get i got my request , i think it is called dictionary for python coders and called json for javascript coders
it containt too much information that i dont need and i would like to extract one or two only
for example {"bio" : " hello world " }
and that json file contains more that one " bio "
for example i am scraping 100 accounts and i would like to extract all " bio " in one code
so i tried this :
from bs4 import BeautifulSoup
import requests
headers = {"Authorization" : "xxxx"}
req = requests.get('website', headers = headers)
data = req.text
soup = BeautifulSoup(data,'html.parser')
titles = soup.find_all('span',{'class':'bio'})
for title in titles :
print(title.text)
and didnt work , i tried multiple ideas with no success
if possible please write me a code that i can understande since iam trying to learn more about my mistakes
thanks

The Aphid library I created is perfect for this.
from command-prompt
py -m pip install Aphid
Then its just as easy as loading your json data and searching it with aphid.
import json
import Aphid
resp = requests.get(yoururl)
data = json.loads(resp.text)
results = Aphid.findall(data, 'bio')
results is now equal to a list of tuples(key, value), of every occurence of the 'bio' key.

After you get your request either:
you get a simple json file (in which case you import it to python using json) or
you get an html file from which you can extract the json code (using BeautifulSoup) which in turn you will parse using json library.

python web-scraping yahoo finance

Since Yahoo finance updated their website. some tables seem to be created dynamically and not actually stored in the HTML (I used to get this information using BeautifulSoup, urllib but this won't work anymore). I am after the Analyst tables for example ADP specifically the Earnings Estimates for Year Ago EPS (Current Year Column). You cannot get this information from the API.
I found this link which works well for the Analyst Recommendations Trends. does anyone know how to do something similar for the main table on this page? (LINK:
python lxml etree applet information from yahoo )
I tried to follow the steps taken but frankly its beyond me.
returning the whole table is all I need I can pick out bits from there. cheers

In order to get that data, you need to open Chrome DevTools and select Network tab with XHR filter. If you click on ADP request you can see link in RequestUrl.
You can use Requests library for making a request and parsing json response from the site.
import requests
from pprint import pprint
url = 'https://query1.finance.yahoo.com/v10/finance/quoteSummary/ADP?formatted=true&crumb=ILlIC9tOoXt&lang=en-US&region=US&modules=upgradeDowngradeHistory%2CrecommendationTrend%2CfinancialData%2CearningsHistory%2CearningsTrend%2CindustryTrend%2CindexTrend%2CsectorTrend&corsDomain=finance.yahoo.com'
r = requests.get(url).json()
pprint(r)

further to volds answer above and using the answer in the link I posted above. (credit to saaj). This gives just the dataset I need and is neater when calling the module. I am not sure what the parameter crumb is but, it seems to work ok without it.
import json
from pprint import pprint
from urllib.request import urlopen
from urllib.parse import urlencode
def parse():
host = 'https://query1.finance.yahoo.com'
#host = 'https://query2.finance.yahoo.com' # try if above doesn't work
path = '/v10/finance/quoteSummary/%s' % 'ADP'
params = {
'formatted' : 'true',
#'crumb' : 'ILlIC9tOoXt',
'lang' : 'en-US',
'region' : 'US',
'modules' : 'earningsTrend',
'domain' : 'finance.yahoo.com'
}
response = urlopen('{}{}?{}'.format(host, path, urlencode(params)))
data = json.loads(response.read().decode())
pprint(data)
if __name__ == '__main__':
parse()
Other modules (just add a comma between them):
assetProfile
financialData
defaultKeyStatistics
calendarEvents
incomeStatementHistory
cashflowStatementHistory
balanceSheetHistory
recommendationTrend
upgradeDowngradeHistory
earningsHistory
earningsTrend
industryTrend

In GitHub, c0redumb has proposed a whole solution. You can download the yqd.py. After import it, you can get Yahoo finance data by one line of code, as blew.
import yqd
yf_data = yqd.load_yahoo_quote('GOOG', '20170722', '20170725')
The result 'yf_data' is:
['Date,Open,High,Low,Close,Adj Close,Volume',
'2017-07-24,972.219971,986.200012,970.770020,980.340027,980.340027,3248300',
'2017-07-25,953.809998,959.700012,945.400024,950.700012,950.700012,4661000',
'']

HTTP requests and JSON parsing in Python [duplicate]

This question already has answers here:
How can I parse (read) and use JSON?
(5 answers)
What are the differences between the urllib, urllib2, urllib3 and requests module?
(11 answers)
Closed last month.
I want to dynamically query Google Maps through the Google Directions API. As an example, this request calculates the route from Chicago, IL to Los Angeles, CA via two waypoints in Joplin, MO and Oklahoma City, OK:
http://maps.googleapis.com/maps/api/directions/json?origin=Chicago,IL&destination=Los+Angeles,CA&waypoints=Joplin,MO|Oklahoma+City,OK&sensor=false
It returns a result in the JSON format.
How can I do this in Python? I want to send such a request, receive the result and parse it.

I recommend using the awesome requests library:
import requests
url = 'http://maps.googleapis.com/maps/api/directions/json'
params = dict(
origin='Chicago,IL',
destination='Los+Angeles,CA',
waypoints='Joplin,MO|Oklahoma+City,OK',
sensor='false'
)
resp = requests.get(url=url, params=params)
data = resp.json() # Check the JSON Response Content documentation below
JSON Response Content: https://requests.readthedocs.io/en/master/user/quickstart/#json-response-content

The requests Python module takes care of both retrieving JSON data and decoding it, due to its builtin JSON decoder. Here is an example taken from the module's documentation:
>>> import requests
>>> r = requests.get('https://github.com/timeline.json')
>>> r.json()
[{u'repository': {u'open_issues': 0, u'url': 'https://github.com/...
So there is no use of having to use some separate module for decoding JSON.

requests has built-in .json() method
import requests
requests.get(url).json()

import urllib
import json
url = 'http://maps.googleapis.com/maps/api/directions/json?origin=Chicago,IL&destination=Los+Angeles,CA&waypoints=Joplin,MO|Oklahoma+City,OK&sensor=false'
result = json.load(urllib.urlopen(url))

Use the requests library, pretty print the results so you can better locate the keys/values you want to extract, and then use nested for loops to parse the data. In the example I extract step by step driving directions.
import json, requests, pprint
url = 'http://maps.googleapis.com/maps/api/directions/json?'
params = dict(
origin='Chicago,IL',
destination='Los+Angeles,CA',
waypoints='Joplin,MO|Oklahoma+City,OK',
sensor='false'
)
data = requests.get(url=url, params=params)
binary = data.content
output = json.loads(binary)
# test to see if the request was valid
#print output['status']
# output all of the results
#pprint.pprint(output)
# step-by-step directions
for route in output['routes']:
for leg in route['legs']:
for step in leg['steps']:
print step['html_instructions']

just import requests and use from json() method :
source = requests.get("url").json()
print(source)
OR you can use this :
import json,urllib.request
data = urllib.request.urlopen("url").read()
output = json.loads(data)
print (output)

Try this:
import requests
import json
# Goole Maps API.
link = 'http://maps.googleapis.com/maps/api/directions/json?origin=Chicago,IL&destination=Los+Angeles,CA&waypoints=Joplin,MO|Oklahoma+City,OK&sensor=false'
# Request data from link as 'str'
data = requests.get(link).text
# convert 'str' to Json
data = json.loads(data)
# Now you can access Json
for i in data['routes'][0]['legs'][0]['steps']:
lattitude = i['start_location']['lat']
longitude = i['start_location']['lng']
print('{}, {}'.format(lattitude, longitude))

Also for pretty Json on console:
json.dumps(response.json(), indent=2)
possible to use dumps with indent. (Please import json)