Develop Reference

Sending GET request to URL with fragment returns the content of the main page

I am trying to web-scrap this webpage but I always end up getting the "main" page (same URL but without "#face-a-face" at the end). It's the same problem as this guy encountered, see this forum. He got an answer but I am not able to generalize and apply this for the website I want to scrap.
import requests
from bs4 import BeautifulSoup
url_main = "https://www.lequipe.fr/Football/match-direct/ligue-1/2020-2021/ol-dijon-live/477168"
url_target = url_main + "#face-a-face"
soup_main = BeautifulSoup(requests.get(url_main, verify=False).content, "html.parser")
soup_target = BeautifulSoup(requests.get(url_target, verify=False).content, "html.parser")
print(soup_main == soup_target)
returns True. I would like to get different contents, this is not the case here.
For example, I would like to extract all the "confrontations depuis 2011" in the target webpage. How can I get the final content of this webpage with a GET request (or with another way) ? Thanks !

All the data comes from a highly nested JSON file.
You can get that file and extract the information you need.
Here's how:
import json
import requests
endpoint = "https://iphdata.lequipe.fr/iPhoneDatas/EFR/STD/ALL/V2/Football/Prelive/68/477168.json"
team_data = requests.get(endpoint).json()
specifics = team_data["items"][1]["objet"]["matches"][0]["specifics"]
print(json.dumps(specifics, indent=2))
This should get you a dictionary:
{
"__type": "specifics_sport_collectif",
"vainqueur": "domicile",
"score": {
"__type": "score",
"exterieur": "1",
"domicile": "4"
},
"exterieur": {
"__type": "effectif_sport_collectif",
"equipe": {
"__type": "equipe",
"id": "202",
"url_image": "https://medias.lequipe.fr/logo-football/202/{width}{declinaison}",
"nom": "Dijon",
"url_fiche": "https://www.lequipe.fr/Football/FootballFicheClub202.html"
}
},
"domicile": {
"__type": "effectif_sport_collectif",
"equipe": {
"__type": "equipe",
"id": "22",
"url_image": "https://medias.lequipe.fr/logo-football/22/{width}{declinaison}",
"nom": "Lyon",
"url_fiche": "https://www.lequipe.fr/Football/FootballFicheClub22.html"
}
},
"is_final": false,
"prolongation": false,
"vainqueur_final": "domicile",
"is_qualifier": false
}
And if you, for example, just want the socre, add this line:
just_the_score = specifics["score"]
print(just_the_score)
To get this:
{'__type': 'score', 'exterieur': '1', 'domicile': '4'}

Python & Pandas: Parsing JSONs in a loop

With Python I'm pulling a nested json, and I'm seeking to parse it via a loop and write the data to a csv. The structure of the json is below. The values I'm after are in the "view" list, labeled "user_id" and `"message"'
{
"view": [
{
"id": 109205,
"user_id": 6354,
"parent_id": null,
"created_at": "2020-11-03T23:32:49Z",
"updated_at": "2020-11-03T23:32:49Z",
"rating_count": null,
"rating_sum": null,
**"message": "message text",**
"replies": [
# json continues
],
}
After some study and assistance from this helpful tutorial I was able to structure requests like this:
import requests
import json
import pandas as pd
url = "URL"
headers = {'Authorization' : 'Bearer KEY'}
r = requests.get(url, headers=headers)
data = r.json()
print(data['view'][0]['user_id'])
print(data['view'][0]['message'])
Which successfully prints the outputs 6354 and "message test".
Now....how would I approach capturing all the user id's and messages from the json to a csv with Pandas?

Using the POST Method for Batch Geocoding with ArcGIS Server REST API?

I'm trying to hit my geocoding server's REST API:
[https://locator.stanford.edu/arcgis/rest/services/geocode/USA_StreetAddress/GeocodeServer] (ArcGIS Server 10.6.1)
...using the POST method (which, BTW, could use an example or two, there only seems to be this VERY brief "note" on WHEN to use POST, not HOW: https://developers.arcgis.com/rest/geocode/api-reference/geocoding-geocode-addresses.htm#ESRI_SECTION1_351DE4FD98FE44958C8194EC5A7BEF7D).
I'm trying to use requests.post(), and I think I've managed to get the token accepted, etc..., but I keep getting a 400 error.
Based upon previous experience, this means something about the formatting of the data is bad, but I've cut-&-pasted directly from the Esri support site, this test pair.
# import the requests library
import requests
# Multiple address records
addresses={
"records": [
{
"attributes": {
"OBJECTID": 1,
"Street": "380 New York St.",
"City": "Redlands",
"Region": "CA",
"ZIP": "92373"
}
},
{
"attributes": {
"OBJECTID": 2,
"Street": "1 World Way",
"City": "Los Angeles",
"Region": "CA",
"ZIP": "90045"
}
}
]
}
# Parameters
# Geocoder endpoint
URL = 'https://locator.stanford.edu/arcgis/rest/services/geocode/USA_StreetAddress/GeocodeServer/geocodeAddresses?'
# token from locator.stanford.edu/arcgis/tokens
mytoken = <GeneratedToken>
# output spatial reference id
outsrid = 4326
# output format
format = 'pjson'
# params data to be sent to api
params ={'outSR':outsrid,'f':format,'token':mytoken}
# Use POST to batch geocode
r = requests.post(url=URL, data=addresses, params=params)
print(r.json())
print(r.text)
Here's what I consistently get:
{'error': {'code': 400, 'message': 'Unable to complete operation.', 'details': []}}

I had to play around with this for longer than I'd like to admit, but the trick (I guess) is to use the correct request header and convert the raw addresses to a JSON string using json.dumps().
import requests
import json
url = 'http://sampleserver6.arcgisonline.com/arcgis/rest/services/Locators/SanDiego/GeocodeServer/geocodeAddresses'
headers = { 'Content-Type': 'application/x-www-form-urlencoded' }
addresses = json.dumps({ 'records': [{ 'attributes': { 'OBJECTID': 1, 'SingleLine': '2920 Zoo Dr' }}] })
r = requests.post(url, headers = headers, data = { 'addresses': addresses, 'f':'json'})
print(r.text)

Difficulties using Python request (POST) + API

Im trying to use a simple API with python. I get the data with the code below but, but I can't seem to parse it. When i print the type of variable "c" it says "unicode". I want a Json object or dictionary so I can use the information.
I have I tried various ways to solve this but I'm not sure if the output from the API (below) is actually Json or why it doesn't work properly.
import requests
import json
import urllib
test1 ={
"query": [
{
"code": "SNI2007",
"selection": {
"filter": "item",
"values": [
"47.4+47.54"
]
}
},
{
"code": "ContentsCode",
"selection": {
"filter": "item",
"values": [
"HA0101A9",
"HA0101B4"
]
}
},
{
"code": "Tid",
"selection": {
"filter": "item",
"values": [
"2010M01",
"2010M02",
"2010M03",
"2010M04",
"2010M05",
"2010M06",
"2010M07",
"2010M08",
"2010M09",
"2010M10",
"2010M11",
"2010M12",
"2011M01",
"2011M02",
"2011M03",
"2011M04",
"2011M05",
"2011M06",
"2011M07",
"2011M08",
"2011M09",
"2011M10",
"2011M11",
"2011M12",
"2012M01",
"2012M02",
"2012M03",
"2012M04",
"2012M05",
"2012M06",
"2012M07",
"2012M08",
"2012M09",
"2012M10",
"2012M11",
"2012M12",
"2013M01",
"2013M02",
"2013M03",
"2013M04",
"2013M05",
"2013M06",
"2013M07",
"2013M08",
"2013M09",
"2013M10",
"2013M11",
"2013M12",
"2014M01",
"2014M02",
"2014M03",
"2014M04",
"2014M05",
"2014M06",
"2014M07",
"2014M08",
"2014M09",
"2014M10",
"2014M11",
"2014M12",
"2015M01",
"2015M02",
"2015M03",
"2015M04",
"2015M05",
"2015M06",
"2015M07",
"2015M08",
"2015M09",
"2015M10",
"2015M11",
"2015M12",
"2016M01",
"2016M02",
"2016M03",
"2016M04",
"2016M05",
"2016M06",
"2016M07",
"2016M08",
"2016M09",
"2016M10",
"2016M11",
"2016M12",
"2017M01",
"2017M02",
"2017M03",
"2017M04",
"2017M05",
"2017M06",
"2017M07",
"2017M08",
"2017M09",
"2017M10",
"2017M11",
"2017M12",
"2018M01",
"2018M02",
"2018M03",
"2018M04"
]
}
}
],
"response": {
"format": "json"
}
}
response = requests.post("http://api.scb.se/OV0104/v1/doris/sv/ssd/START/HA/HA0101/HA0101B/Detoms07", json = test1)
dat = response.content
b = json.dumps(dat)
c = json.loads(b)
print type(b)
This is what I get if I print the "response.content" variable.
{"columns":[{"code":"SNI2007","text":"näringsgren SNI 2007","type":"d"},{"code":"Tid","text":"månad","type":"t"},{"code":"HA0101A9","text":"Löpande priser","type":"c"},{"code":"HA0101B4","text":"Fasta priser","type":"c"}],"comments":[],"data":[{"key":["47.4+47.54","2010M01"],"values":["90.3","45.0"]},{"key":["47.4+47.54","2010M02"],"values":["80.9","40.3"]},{"key":["47.4+47.54","2010M03"],"values":["91.3","45.7"]},{"key":["47.4+47.54","2010M04"],"values":["83.9","43.5"]},{"key":["47.4+47.54","2010M05"],"values":["87.4","45.7"]},{"key":["47.4+47.54","2010M06"],"values":["97.6","52.6"]},{"key":["47.4+47.54","2010M07"],"values":["99.5","54.2"]},{"key":["47.4+47.54","2010M08"],"values":["105.2","57.3"]},{"key":["47.4+47.54","2010M09"],"values":["108.9","60.4"]},{"key":["47.4+47.54","2010M10"],"values":["107.9","60.7"]},{"key":["47.4+47.54","2010M11"],"values":["107.9","61.3"]},{"key":["47.4+47.54","2010M12"],"values":["181.9","106.1"]},{"key":["47.4+47.54","2011M01"],"values":["95.3","55.9"]},{"key":["47.4+47.54","2011M02"],"values":["80.1","47.3"]},{"key":["47.4+47.54","2011M03"],"values":["88.8","53.5"]},{"key":["47.4+47.54","2011M04"],"values":["79.4","48.5"]},{"key":["47.4+47.54","2011M05"],"values":["85.9","53.0"]},{"key":["47.4+47.54","2011M06"],"values":["90.2","57.3"]},{"key":["47.4+47.54","2011M07"],"values":["95.5","61.1"]},{"key":["47.4+47.54","2011M08"],"values":["97.1","62.3"]},{"key":["47.4+47.54","2011M09"],"values":["96.3","62.4"]},{"key":["47.4+47.54","2011M10"],"values":["97.0","63.6"]},{"key":["47.4+47.54","2011M11"],"values":["104.5","69.2"]},{"key":["47.4+47.54","2011M12"],"values":["171.4","113.9"]},{"key":["47.4+47.54","2012M01"],"values":["93.7","62.8"]},{"key":["47.4+47.54","2012M02"],"values":["78.3","53.1"]},{"key":["47.4+47.54","2012M03"],"values":["87.2","60.1"]},{"key":["47.4+47.54","2012M04"],"values":["82.7","57.4"]},{"key":["47.4+47.54","2012M05"],"values":["81.1","56.8"]},{"key":["47.4+47.54","2012M06"],"values":["92.8","66.3"]},{"key":["47.4+47.54","2012M07"],"values":["88.4","64.0"]},{"key":["47.4+47.54","2012M08"],"values":["92.7","68.0"]},{"key":["47.4+47.54","2012M09"],"values":["96.1","71.5"]},{"key":["47.4+47.54","2012M10"],"values":["92.4","69.7"]},{"key":["47.4+47.54","2012M11"],"values":["99.2","75.9"]},{"key":["47.4+47.54","2012M12"],"values":["147.5","115.5"]},{"key":["47.4+47.54","2013M01"],"values":["89.6","70.6"]},{"key":["47.4+47.54","2013M02"],"values":["75.5","59.9"]},{"key":["47.4+47.54","2013M03"],"values":["79.5","63.7"]},{"key":["47.4+47.54","2013M04"],"values":["76.2","62.0"]},{"key":["47.4+47.54","2013M05"],"values":["79.0","65.0"]},{"key":["47.4+47.54","2013M06"],"values":["84.6","70.5"]},{"key":["47.4+47.54","2013M07"],"values":["85.7","73.0"]},{"key":["47.4+47.54","2013M08"],"values":["91.6","77.8"]},{"key":["47.4+47.54","2013M09"],"values":["90.6","77.4"]},{"key":["47.4+47.54","2013M10"],"values":["93.0","79.8"]},{"key":["47.4+47.54","2013M11"],"values":["97.4","84.3"]},{"key":["47.4+47.54","2013M12"],"values":["151.0","133.0"]},{"key":["47.4+47.54","2014M01"],"values":["92.3","81.6"]},{"key":["47.4+47.54","2014M02"],"values":["75.7","67.6"]},{"key":["47.4+47.54","2014M03"],"values":["82.3","74.5"]},{"key":["47.4+47.54","2014M04"],"values":["79.6","72.7"]},{"key":["47.4+47.54","2014M05"],"values":["80.3","73.9"]},{"key":["47.4+47.54","2014M06"],"values":["92.7","85.9"]},{"key":["47.4+47.54","2014M07"],"values":["88.0","82.7"]},{"key":["47.4+47.54","2014M08"],"values":["94.4","88.6"]},{"key":["47.4+47.54","2014M09"],"values":["100.2","95.3"]},{"key":["47.4+47.54","2014M10"],"values":["103.0","98.9"]},{"key":["47.4+47.54","2014M11"],"values":["104.4","100.0"]},{"key":["47.4+47.54","2014M12"],"values":["159.9","154.1"]},{"key":["47.4+47.54","2015M01"],"values":["95.9","93.3"]},{"key":["47.4+47.54","2015M02"],"values":["80.5","78.3"]},{"key":["47.4+47.54","2015M03"],"values":["90.4","88.5"]},{"key":["47.4+47.54","2015M04"],"values":["82.6","81.2"]},{"key":["47.4+47.54","2015M05"],"values":["85.9","84.4"]},{"key":["47.4+47.54","2015M06"],"values":["97.5","96.8"]},{"key":["47.4+47.54","2015M07"],"values":["95.1","95.0"]},{"key":["47.4+47.54","2015M08"],"values":["93.7","93.8"]},{"key":["47.4+47.54","2015M09"],"values":["98.4","99.4"]},{"key":["47.4+47.54","2015M10"],"values":["105.5","107.5"]},{"key":["47.4+47.54","2015M11"],"values":["114.6","116.9"]},{"key":["47.4+47.54","2015M12"],"values":["159.9","164.9"]},{"key":["47.4+47.54","2016M01"],"values":["91.4","95.8"]},{"key":["47.4+47.54","2016M02"],"values":["84.7","90.1"]},{"key":["47.4+47.54","2016M03"],"values":["89.6","96.2"]},{"key":["47.4+47.54","2016M04"],"values":["87.9","94.8"]},{"key":["47.4+47.54","2016M05"],"values":["84.6","92.1"]},{"key":["47.4+47.54","2016M06"],"values":["95.0","105.6"]},{"key":["47.4+47.54","2016M07"],"values":["93.0","104.3"]},{"key":["47.4+47.54","2016M08"],"values":["96.1","106.9"]},{"key":["47.4+47.54","2016M09"],"values":["98.2","110.5"]},{"key":["47.4+47.54","2016M10"],"values":["103.2","116.4"]},{"key":["47.4+47.54","2016M11"],"values":["116.6","132.3"]},{"key":["47.4+47.54","2016M12"],"values":["155.6","177.2"]},{"key":["47.4+47.54","2017M01"],"values":["94.7","108.3"]},{"key":["47.4+47.54","2017M02"],"values":["79.2","91.4"]},{"key":["47.4+47.54","2017M03"],"values":["88.8","102.8"]},{"key":["47.4+47.54","2017M04"],"values":["80.3","93.9"]},{"key":["47.4+47.54","2017M05"],"values":["82.9","97.4"]},{"key":["47.4+47.54","2017M06"],"values":["94.2","111.0"]},{"key":["47.4+47.54","2017M07"],"values":["88.3","103.4"]},{"key":["47.4+47.54","2017M08"],"values":["91.0","105.8"]},{"key":["47.4+47.54","2017M09"],"values":["92.6","107.9"]},{"key":["47.4+47.54","2017M10"],"values":["97.9","115.2"]},{"key":["47.4+47.54","2017M11"],"values":["121.2","142.7"]},{"key":["47.4+47.54","2017M12"],"values":["149.7","177.7"]},{"key":["47.4+47.54","2018M01"],"values":["98.1","116.3"]},{"key":["47.4+47.54","2018M02"],"values":["79.0","94.6"]},{"key":["47.4+47.54","2018M03"],"values":["93.0","112.9"]},{"key":["47.4+47.54","2018M04"],"values":["85.6","104.3"]}]}

There's two strategies you can use, response.json() will give you back a dict with all the JSON in key-value format using requests internal JSON parser, the other if you want to use the actual json library is to do json_data = json.loads(response.text) and allow the json library to parse it instead.
In general the requests JSON parser is probably enough for what you need.

Filter data to facebook graph with json-python

I 'm getting Facebook graph and data already shows what I need , but I could not filter the 'message' and 'id' or JSON , appreciate them , I leave my code:
import facebook
import json
import urllib.request
from urllib.request import urlopen
page_id = "MYPAGE"
access_token = 'MY-ACCESS-TOKEN'
api_endpoint = "https://graph.facebook.com/v2.5/"
fb_graph_url = page_id+"?fields=id,name,feed.since(2015-12-22).until(2015-12-25){comments.filter(stream)}&access_token="+access_token
html = api_endpoint + fb_graph_url
print(html,"\n")
data = urllib.request.urlopen(html)
read_page= data.read()
print(read_page)
print(data.read(),"\n")
data2=json.loads(read_page.decode())
#message=data2["feed"]["data"]
message=data2
for item in message['feed']['data'][1]['comments']['data']:
print(item['message'])
print(item['from']['name'])
print(message,"\n")
He shows me something like:
{
"id": "2825921296",
"name": "MY-PAGE",
"feed": {
"data": [
{
"id": "2825921296_5155340"
},
{
"id": "2825921296_5155340",
"comments": {
"data": [
{
"from": {
"name": "Carl Jhon",
"id": "282564921296"
},
"message": "Comment one",
"created_time": "2015-12-10T03:42:05+0000",
"id": "5153352885_5153353484206"
},
{
And my question is , How to display only the 'message' and 'name' of all it shows.
Thankl and I appreciate your response.

It looks like the variable "message" in your code (not in the JSON data) is a dictionary. Subsequently, you can access the name and the first message by adding:
print(message['feed']['data'][1]['comments']['data'][0]['message'])
print(message['name'])
You can access the nth message with:
print(message['feed']['data'][1]['comments']['data'][n]['message'])
To print all of the messages, including the name of the author, you could use the for loop like this:
for item in message['feed']['data'][1]['comments']['data']:
print(item['message'])
print(item['from']['name'])
Or you can output a specific number of messages and names (100 in this case):
if len(message['feed']['data'][1]['comments']['data'])>=100:
for i in range(100):
print(message['feed']['data'][1]['comments']['data'][i]['message'])
print(message['feed']['data'][1]['comments']['data'][i]['from']['name'])
In case the message contains emojis, you can either add # -*- coding: utf-8 -*- to the top of your script or take a look at this post