Set API Key when doing reqests.get in Python - python

Im trying to get data from one api, and I have key for it, but Im always getting an 401 error and when I print it {"error":"API key required."}.
What am I doing wrong?
I have tried these 5 things, and error is always the same:
import json
import requests
api_url = "https://idir.uta.edu/claimbuster/api/v2/score/text/Denver%20lost%20to%20LA%20Lakers"
response = requests.get(api_url, headers = {'Authorization': 'Token xxx'})
#response = requests.get(api_url, headers = {'Authorization': 'xxx'})
#response = requests.get(api_url, headers = {'Auth': 'Token xxx'})
#response = requests.get(api_url, headers = {'Auth': 'xxx'})
#response = requests.get(api_url,key ='xxx')
#response = requests.get(api_url, headers = {'x-api-key': 'Token xxx'}


The documentation says it should be
import requests
headers = {
'Connection': 'keep-alive',
'Accept': 'application/json, text/javascript, */*; q=0.01',
'X-Requested-With': 'XMLHttpRequest',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.121 Safari/537.36',
'x-api-key': 'Token xxx',
'Sec-Fetch-Site': 'same-origin',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Dest': 'empty',
'Referer': '',
'Accept-Language': '*',
}
response = requests.get(api_url, headers=headers)

Related

Scraping data through Api from json

I would like to limit the data they receive to the first 8 links on the website. As shown in the picture, there is no data available beyond the 8th link, as seen in the CSV file. How can I apply this limit so that they only receive data from the first 8 links? The website link is https://www.linkedin.com/learning/search?keywords=data%20science,
JSON API
CSV File
Code part
import requests
import pandas as pd
url = "https://www.linkedin.com/learning-api/searchV2?keywords=data%20science&q=keywords&searchRequestId=RW4AuZRJT22%2BUeXnsZJGQA%3D%3D"
payload={}
headers = {
'authority': 'www.linkedin.com',
'accept': 'application/vnd.linkedin.normalized+json+2.1',
'accept-language': 'en-GB,en-US;q=0.9,en;q=0.8,pt;q=0.7',
'cookie': 'bscookie="v=1&202108281231498ed9b977-a15a-4647-83ff-d0ef12adfbfbAQFdf9p_GSaBPrFkmyztJ8zyOnqVND-D"; li_theme=light; li_theme_set=app; li_sugr=4752e3dd-9232-4bb9-9dbb-b29c1a127f77; bcookie="v=2&9fb3a4d0-1139-4e2b-89ba-e5374eeb9735"; aam_uuid=08800810176251362264578372297522883472; _gcl_au=1.1.240501668.1664707206; li_rm=AQELLfU3ZqmMhAAAAYQ_tPjGK8ONpN3EEUxH1P4M6Czq5fk6EXaEXSzKwoNSXoSZ7KgO5uSTE9iZ30fuhs6ju1rLH1VgXYyRM3nNuiTQEx1k2ca6SR0Hk1d5-NBafeE0zv65QetFY5Yrx2ufzRlfEXUkJJSoO9Z2o7MeuX-3Go7P4dI-m5HQM7VOKLiK_TD-ZWzj_OkdkR75K31QKGq8bxPLa0JpkGUzhDIVGWzl6vqkcl6BJEK2s-keIZjsiH5MZ9sbLXEVOxLg4vD21TTJBNshE6zaiWrSnxx_PEm44eDPqjvXRMVWFeX7VZfIe2KFshWXLRc4SY8hAQINymU; visit=v=1&M; G_ENABLED_IDPS=google; JSESSIONID="ajax:7673827752327651374"; timezone=Asia/Karachi; _guid=0f0d3402-80be-4bef-9baf-18d281f68921; mbox=session^#965dfb20b29e4f2688eedcf643d2e5ab^#1671620169|PC^#965dfb20b29e4f2688eedcf643d2e5ab.38_0^#1687170309; __ssid=db28305b-28da-4f8b-ad3a-54dea10b9eb9; dfpfpt=da2e5dde482a41b09cf7178ba1bcec7e; g_state={"i_l":0}; liap=true; li_at=AQEDATKxuC8DTVh9AAABhaytidQAAAGGZN5q6E0AdHv14xrDnsngkfFuMyIIbGYccHR15UrPQ8rb3qpS0_-mpCFm9pXQkoNYGdk87LiGVIqiw4oXuJ9tqflCEOev71_L83JoJ-fkbOfZwdG0RICtuIHn; AnalyticsSyncHistory=AQKUIualgILMBgAAAYZHP2t3mvejt25dMqUMRmrpyhaQMe1cucNiAMliFNRUf4cu4aKnZ1z1kQ_FGeqFr2m04Q; lms_ads=AQEr9ksNAL4kugAAAYZHP2z8QK26stPkoXe2TgJZW3Fnrl4dCzbC2DtithS1-zp5Ve85QwxzRhPvP9okaC0kbu40FYX7EqIk; lms_analytics=AQEr9ksNAL4kugAAAYZHP2z8QK26stPkoXe2TgJZW3Fnrl4dCzbC2DtithS1-zp5Ve85QwxzRhPvP9okaC0kbu40FYX7EqIk; fid=AQGWcXnO5AffyAAAAYZRr6tph6cekZ9ZD66e1xdHhumlVvJ3cKYzZLwfK-I3nJyeRyLQs3LRnowKjQ; lil-lang=en_US; lang=v=2&lang=en-us; _dd_l=1; _dd=ff90da3c-aa07-4491-9106-b226eba1c09c; AMCVS_14215E3D5995C57C0A495C55%40AdobeOrg=1; AMCV_14215E3D5995C57C0A495C55%40AdobeOrg=-637568504%7CMCIDTS%7C19403%7CMCMID%7C09349215808923073694559483836331055195%7CMCAAMLH-1677084815%7C3%7CMCAAMB-1677084815%7CRKhpRz8krg2tLO6pguXWp5olkAcUniQYPHaMWWgdJ3xzPWQmdj0y%7CMCOPTOUT-1676487215s%7CNONE%7CMCCIDH%7C1076847823%7CvVersion%7C5.1.1; s_cc=true; UserMatchHistory=AQJJ3j-efkcQeQAAAYZWAETxBE44VVBGzo_i-gr5nEGPOK85mS3kDScLdGC24_GeNx-GEeCNDrPOjkQde_MGT4iPc7vJV4sT_nPL8Tv4WMTLarIEliLYPkCvou8zFlb3dFNkbXZjVV_KTVeDvUSJ5WJTeStLNXmzV3_EV5mI9dbSRpoTFlJ94vi_zxcCmnLTaGAYGQAdymMv4SbaMgtnt3QcY8Zj9-hnwxdsIEmJloq47_QTP7sfl-SG-vw8xvhl9KYb0ZPKCnQ6ioJhu3G4cFpKJiSUbULkYMADSo0; lidc="b=VB23:s=V:r=V:a=V:p=V:g=4060:u=105:x=1:i=1676480108:t=1676566269:v=2:sig=AQEz2UktgVcQuJwMoVRgKgnUuKtCEm9C"; s_sq=%5B%5BB%5D%5D; gpv_pn=www.linkedin.com%2Flearning%2Fsearch; s_ips=615; s_plt=7.03; s_pltp=www.linkedin.com%2Flearning%2Fsearch; s_tp=6116; s_ppv=www.linkedin.com%2Flearning%2Fsearch%2C47%2C10%2C2859%2C7%2C18; s_tslv=1676480356388',
'csrf-token': 'ajax:7673827752327651374',
'referer': 'https://www.linkedin.com/learning/search?keywords=data%20science',
'sec-ch-ua': '"Chromium";v="110", "Not A(Brand";v="24", "Google Chrome";v="110"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36',
'x-li-lang': 'en_US',
'x-li-page-instance': 'urn:li:page:d_learning_search;gNOg2MJoSqWv2XNAh4ukiQ==',
'x-li-pem-metadata': 'Learning Exp - Search=search',
'x-li-track': '{"clientVersion":"1.1.2236","mpVersion":"1.1.2236","osName":"web","timezoneOffset":5,"timezone":"Asia/Karachi","mpName":"learning-web","displayDensity":1,"displayWidth":1366,"displayHeight":768}',
'x-lil-intl-library': 'en_US',
'x-restli-protocol-version': '2.0.0'
}
res = requests.request("GET", url, headers=headers, data=payload).json()
product=[]
items=res['included']
for item in items:
try:
title=item['headline']['title']['text']
except:
title=''
try:
url='https://www.linkedin.com/learning/'+item['slug']
except:
url=''
try:
rating=item['rating']['ratingCount']
except:
rating=''
wev={
'title':title,
'instructor':name,
'review':rating,
'url':url
}
product.append(wev)
df=pd.DataFrame(product)
df.to_csv('learning.csv')

To filter the rows that contain empty columns, specifically those with an empty title column, you can simply add the following code:
df=pd.DataFrame(product)
filter = df["title"] != ""
dfNew = df[filter]
dfNew.to_csv('learning.csv')
The entire code will be:
import requests
import pandas as pd
url = "https://www.linkedin.com/learning-api/searchV2?keywords=data%20science&q=keywords&searchRequestId=RW4AuZRJT22%2BUeXnsZJGQA%3D%3D"
payload={}
headers = {
'authority': 'www.linkedin.com',
'accept': 'application/vnd.linkedin.normalized+json+2.1',
'accept-language': 'en-GB,en-US;q=0.9,en;q=0.8,pt;q=0.7',
'cookie': 'bscookie="v=1&202108281231498ed9b977-a15a-4647-83ff-d0ef12adfbfbAQFdf9p_GSaBPrFkmyztJ8zyOnqVND-D"; li_theme=light; li_theme_set=app; li_sugr=4752e3dd-9232-4bb9-9dbb-b29c1a127f77; bcookie="v=2&9fb3a4d0-1139-4e2b-89ba-e5374eeb9735"; aam_uuid=08800810176251362264578372297522883472; _gcl_au=1.1.240501668.1664707206; li_rm=AQELLfU3ZqmMhAAAAYQ_tPjGK8ONpN3EEUxH1P4M6Czq5fk6EXaEXSzKwoNSXoSZ7KgO5uSTE9iZ30fuhs6ju1rLH1VgXYyRM3nNuiTQEx1k2ca6SR0Hk1d5-NBafeE0zv65QetFY5Yrx2ufzRlfEXUkJJSoO9Z2o7MeuX-3Go7P4dI-m5HQM7VOKLiK_TD-ZWzj_OkdkR75K31QKGq8bxPLa0JpkGUzhDIVGWzl6vqkcl6BJEK2s-keIZjsiH5MZ9sbLXEVOxLg4vD21TTJBNshE6zaiWrSnxx_PEm44eDPqjvXRMVWFeX7VZfIe2KFshWXLRc4SY8hAQINymU; visit=v=1&M; G_ENABLED_IDPS=google; JSESSIONID="ajax:7673827752327651374"; timezone=Asia/Karachi; _guid=0f0d3402-80be-4bef-9baf-18d281f68921; mbox=session^#965dfb20b29e4f2688eedcf643d2e5ab^#1671620169|PC^#965dfb20b29e4f2688eedcf643d2e5ab.38_0^#1687170309; __ssid=db28305b-28da-4f8b-ad3a-54dea10b9eb9; dfpfpt=da2e5dde482a41b09cf7178ba1bcec7e; g_state={"i_l":0}; liap=true; li_at=AQEDATKxuC8DTVh9AAABhaytidQAAAGGZN5q6E0AdHv14xrDnsngkfFuMyIIbGYccHR15UrPQ8rb3qpS0_-mpCFm9pXQkoNYGdk87LiGVIqiw4oXuJ9tqflCEOev71_L83JoJ-fkbOfZwdG0RICtuIHn; AnalyticsSyncHistory=AQKUIualgILMBgAAAYZHP2t3mvejt25dMqUMRmrpyhaQMe1cucNiAMliFNRUf4cu4aKnZ1z1kQ_FGeqFr2m04Q; lms_ads=AQEr9ksNAL4kugAAAYZHP2z8QK26stPkoXe2TgJZW3Fnrl4dCzbC2DtithS1-zp5Ve85QwxzRhPvP9okaC0kbu40FYX7EqIk; lms_analytics=AQEr9ksNAL4kugAAAYZHP2z8QK26stPkoXe2TgJZW3Fnrl4dCzbC2DtithS1-zp5Ve85QwxzRhPvP9okaC0kbu40FYX7EqIk; fid=AQGWcXnO5AffyAAAAYZRr6tph6cekZ9ZD66e1xdHhumlVvJ3cKYzZLwfK-I3nJyeRyLQs3LRnowKjQ; lil-lang=en_US; lang=v=2&lang=en-us; _dd_l=1; _dd=ff90da3c-aa07-4491-9106-b226eba1c09c; AMCVS_14215E3D5995C57C0A495C55%40AdobeOrg=1; AMCV_14215E3D5995C57C0A495C55%40AdobeOrg=-637568504%7CMCIDTS%7C19403%7CMCMID%7C09349215808923073694559483836331055195%7CMCAAMLH-1677084815%7C3%7CMCAAMB-1677084815%7CRKhpRz8krg2tLO6pguXWp5olkAcUniQYPHaMWWgdJ3xzPWQmdj0y%7CMCOPTOUT-1676487215s%7CNONE%7CMCCIDH%7C1076847823%7CvVersion%7C5.1.1; s_cc=true; UserMatchHistory=AQJJ3j-efkcQeQAAAYZWAETxBE44VVBGzo_i-gr5nEGPOK85mS3kDScLdGC24_GeNx-GEeCNDrPOjkQde_MGT4iPc7vJV4sT_nPL8Tv4WMTLarIEliLYPkCvou8zFlb3dFNkbXZjVV_KTVeDvUSJ5WJTeStLNXmzV3_EV5mI9dbSRpoTFlJ94vi_zxcCmnLTaGAYGQAdymMv4SbaMgtnt3QcY8Zj9-hnwxdsIEmJloq47_QTP7sfl-SG-vw8xvhl9KYb0ZPKCnQ6ioJhu3G4cFpKJiSUbULkYMADSo0; lidc="b=VB23:s=V:r=V:a=V:p=V:g=4060:u=105:x=1:i=1676480108:t=1676566269:v=2:sig=AQEz2UktgVcQuJwMoVRgKgnUuKtCEm9C"; s_sq=%5B%5BB%5D%5D; gpv_pn=www.linkedin.com%2Flearning%2Fsearch; s_ips=615; s_plt=7.03; s_pltp=www.linkedin.com%2Flearning%2Fsearch; s_tp=6116; s_ppv=www.linkedin.com%2Flearning%2Fsearch%2C47%2C10%2C2859%2C7%2C18; s_tslv=1676480356388',
'csrf-token': 'ajax:7673827752327651374',
'referer': 'https://www.linkedin.com/learning/search?keywords=data%20science',
'sec-ch-ua': '"Chromium";v="110", "Not A(Brand";v="24", "Google Chrome";v="110"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36',
'x-li-lang': 'en_US',
'x-li-page-instance': 'urn:li:page:d_learning_search;gNOg2MJoSqWv2XNAh4ukiQ==',
'x-li-pem-metadata': 'Learning Exp - Search=search',
'x-li-track': '{"clientVersion":"1.1.2236","mpVersion":"1.1.2236","osName":"web","timezoneOffset":5,"timezone":"Asia/Karachi","mpName":"learning-web","displayDensity":1,"displayWidth":1366,"displayHeight":768}',
'x-lil-intl-library': 'en_US',
'x-restli-protocol-version': '2.0.0'
}
res = requests.request("GET", url, headers=headers, data=payload).json()
product=[]
items=res['included']
for item in items:
try:
title=item['headline']['title']['text']
except:
title=''
try:
url='https://www.linkedin.com/learning/'+item['slug']
except:
url=''
try:
rating=item['rating']['ratingCount']
except:
rating=''
name = item.get("description", {}).get("text", "")
wev={
'title':title,
'instructor':name,
'review':rating,
'url':url
}
product.append(wev)
df=pd.DataFrame(product)
filter = df["title"] != ""
dfNew = df[filter]
dfNew.to_csv('learning.csv')
However, this is solution works because the web is structured. For complex/irregular websites I prefer to use scrapy as we use in my job.

Scrapy Unable to scrape API

I am trying to crawl API using scrapy form this link
The thing is the API request I was trying to get solves my all issues but I am not able to load the response in json form and I cannot proceed further.
Though code seems long but the code is only long due to header and cookies please suggest me how I can improve and find solution
Here is my scrapy code I did
from datetime import datetime
import json
from urllib.parse import urlencode
import scrapy
from bs4 import BeautifulSoup
from liveshare.items import AGMSpiderItems
class SubIndexSpider(scrapy.Spider):
name = "subindexes"
def start_requests(self):
headers = {
'authority': 'merolagani.com',
'accept': 'application/json, text/javascript, */*; q=0.01',
'accept-language': 'en-GB,en;q=0.9,en-US;q=0.8,ne;q=0.7,ru;q=0.6',
'cache-control': 'no-cache',
# 'cookie': 'ASP.NET_SessionId=bbjd1loebaad4ha2qwwxdcfp; _ga=GA1.2.810096005.1667463342; _gid=GA1.2.1263273763.1673850832; _gat=1; __atuvc=4%7C3; __atuvs=63c4efd0a14c6c9b003',
'pragma': 'no-cache',
'referer': 'https://merolagani.com/MarketSummary.aspx',
'sec-ch-ua': '"Not?A_Brand";v="8", "Chromium";v="108", "Google Chrome";v="108"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Linux"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36',
'x-requested-with': 'XMLHttpRequest',
}
params = {
'type': 'market_summary',
}
cookies = {
'ASP.NET_SessionId': 'bbjd1loebaad4ha2qwwxdcfp',
'_ga': 'GA1.2.810096005.1667463342',
'_gid': 'GA1.2.1263273763.1673850832',
'_gat': '1',
'__atuvc': '4%7C3',
'__atuvs': '63c4efd0a14c6c9b003',
}
api_url = f'https://merolagani.com/handlers/webrequesthandler.ashx{urlencode(params)}'
yield scrapy.Request(
url=api_url,
method='GET',
headers=headers,
cookies=cookies,
callback=self.parse,
dont_filter=True
)
def parse(self, response):
print(response.headers)
print(response.body)
json_response = json.loads(response.body)
print(json_response)
But I am getting JSON decode error I can't figure out the issue.
error traceback
File "C:\Users\Navar\AppData\Local\Programs\Python\Python39\lib\json\decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 3 column 1 (char 4)

I've used the code - that I simplified - and I got no errors, the JSON data is returned successfully.
Code:
url_api = "https://merolagani.com/handlers/webrequesthandler.ashx?type=market_summary"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36",
"Referer": "https://merolagani.com"
}
page = requests.get(url_api, headers=headers)
js_data = json.loads(page.text)
print(js_data)
Check the JSON result here at anotepad.com
Probably the error is in the response of your code - i.e. the response is NOT a JSON object.

Using API-Endpoint from website allways get invalid response?

i try to use the api-endpoint from this site:
https://horoguides.com/hk/watch_finder
I searched for the api-endpoint in the network-tab and try to rebuild this api-access with the following code:
import requests
url = "https://horoguides.com/hk/ajaj/watch/searchWatches"
payload = {
"addLimit": "LIMIT 0, 20",
"addOrder": "ORDER BY establish DESC",
}
headers = {
'Accept': "application/json, text/javascript, */*; q=0.01",
'Accept-Language': "de-DE,de;q=0.9,en-US;q=0.8,en;q=0.7",
'Connection': "keep-alive",
'Content-Type': "multipart/form-data; boundary=---011000010111000001101001",
'Cookie': "PHPSESSID=siob5k70qu4gh8bkio07qtocv3; _gid=GA1.2.40295814.1663575664; __gads=ID=2fc582d62ff2a986-223e4e8c26ce00a9:T=1663575664:RT=1663575664:S=ALNI_MaTX_1U4CELXasmH0td3MvCRQ5S5Q; _gat_UA-90322481-1=1; _gat_gtag_UA_90322481_1=1; _ga_6Z9E9PKG02=GS1.1.1663594500.3.1.1663594710.0.0.0; _ga=GA1.1.699639573.1663575664",
'Origin': "https://horoguides.com",
'Referer': "https://horoguides.com/hk/watch_finder",
'Sec-Fetch-Dest': "empty",
'Sec-Fetch-Mode': "cors",
'Sec-Fetch-Site': "same-origin",
'User-Agent': "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.0.0 Safari/537.36",
'X-Requested-With': "XMLHttpRequest",
'sec-ch-ua': "^\^Chromium^^;v=^\^104^^, ^\^"
}
resp = requests.request("POST", url, json=payload, headers=headers)
print(resp.status_code)
respJSON = resp.json()
print(respJSON)
But as response i only get:
200
{'status': 'invalid'}
Why is this reponse from the api-endpoint not working?
I also tried to run this in Insomnia and get the same result.

You need to fix the payload. The following code works:
import requests
url = "https://horoguides.com/hk/ajaj/watch/searchWatches"
payload = {
"addLimit": "LIMIT 0, 20",
"addOrder": "ORDER BY establish DESC",
'lang': 'hk',
'ajaxID': 'searchWatches'
}
headers = {
'Accept': "application/json, text/javascript, */*; q=0.01",
'Accept-Language': "de-DE,de;q=0.9,en-US;q=0.8,en;q=0.7",
'Connection': "keep-alive",
'Origin': "https://horoguides.com",
'Referer': "https://horoguides.com/hk/watch_finder",
'Sec-Fetch-Dest': "empty",
'Sec-Fetch-Mode': "cors",
'User-Agent': "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.0.0 Safari/537.36",
'X-Requested-With': "XMLHttpRequest"
}
resp = requests.request("POST", url, data=payload, headers=headers)
print(resp.status_code)
respJSON = resp.json()
print(respJSON)
Result in terminal:
200
{'act': 'watch/searchWatches', 'status': 'success', 'getData': {'a5124': {'id': '5124', 'name': '116610-LN-0001', 'url_name': '116610-ln-97200', 'establish': '2014', 'w_brand_id': '39', 'w_brand_abbr': '', 'w_brand_name': 'ROLEX', 'w_brand_urlname': 'rolex', 'w_brand_localname': '勞力士', 'hype_default_currency': 'NT$', 'w_series_name': 'SUBMARINER', 'w_series_urlname':[....]
For requests documentation, see https://requests.readthedocs.io/en/latest/

Added code and now it's not print correctly to CSV file

I have the first code that is working and printing to csv, however it included a lot of data I didn't need. A paragraph of code was then added to only include the data I wanted. The problem is it prints to the screen correctly but still includes all the data in the CSV file. I've tried everything I could think of in this line but it won't either won't print or still prints everything.
data = pd.DataFrame(stock_info)
Could someone show me where I'm going wrong so it will print only the portion I want it to?
Old Working Code
import requests
import pandas as pd
url = "https://www.stockrover.com/stock_infos/grid?_dc=1644769629231"
def stock_data(stock_info):
data = pd.DataFrame(stock_info)
data.to_csv("data.csv", index=False)
payload = "state=%7B%22sortInfo%22%3A%7B%7D%2C%22columns%22%3A%5B77%2C32%2C498%2C500%2C31%2C27%2C499%2C30%2C578%2C28%2C29%2C544%2C181%2C185%2C186%5D%2C%22view%22%3A281%2C%22priorPrimaryColumn%22%3A170%2C%22filterData%22%3A%5B%5D%2C%22name%22%3A%22New%201%22%2C%22cType%22%3A%22Screener%22%2C%22cNode%22%3A%22s_39%22%2C%22cIsFolder%22%3Afalse%2C%22gridSelection%22%3A%22BTU%22%2C%22lastActive%22%3A1396898415%2C%22primaryColumn%22%3A76%2C%22folderDisabledParams%22%3A%7B%22filterData%22%3A%5B%5D%7D%2C%22mainGridDateRange%22%3A%22ytd%22%2C%22groupState%22%3Anull%2C%22moversGridDateRange%22%3A%221_day%22%2C%22peersGridDateRange%22%3A%221_day%22%2C%22lastGridSelections%22%3A%5B%22BTU%22%5D%2C%22lastQuantNode%22%3A%5B%5D%2C%22includeQuotesInTable%22%3Afalse%2C%22includeAllQuotesLastValue%22%3Afalse%2C%22markets%22%3A%7B%22panel%22%3A%22summary%22%7D%2C%22researchPanel%22%3A%22tablePanel%22%2C%22recentSearchTickers%22%3A%5B%22SPY%22%2C%22AMZN%22%2C%22AAPL%22%2C%22s_32%22%2C%22%5ENDX%22%2C%22AXP%22%2C%22XOM%22%2C%22AFL%22%2C%22%5EDJX%22%2C%22AIT%22%2C%22ADVC%22%5D%2C%22quotesBoxTickers%22%3A%5B%22AMZN%22%2C%22AAPL%22%2C%22SPY%22%5D%2C%22checkedQuotesBoxTickers%22%3A%5B%22AMZN%22%2C%22AAPL%22%2C%22SPY%22%5D%2C%22dashboard%22%3A%7B%22buttonRef%22%3A%22272%22%7D%2C%22tickerSelectedFeeds%22%3A%5B%22Benzinga%20News%22%2C%22Yahoo%20News%22%5D%2C%22marketSelectedFeeds%22%3A%5B%22Google%20News%22%2C%22Stock%20Market%20News%20-%20Investing.com%22%5D%2C%22bondsSelectedFeeds%22%3A%5B%22Bonds%20Strategy%20-%20Investing.com%22%5D%2C%22commoditiesSelectedFeeds%22%3A%5B%22Commodities%20%26%20Futures%20News%20-%20Investing.com%22%2C%22Commodities%20Fundamental%20Analysis%20-%20Investing.com%22%2C%22Commodities%20Strategy%20Analysis%20-%20Investing.com%22%5D%2C%22stocksSelectedFeeds%22%3A%5B%22CNNMoney%20News%22%2C%22Google%20News%22%2C%22Seeking%20Alpha%20Top%20Stories%22%5D%2C%22etfsSelectedFeeds%22%3A%5B%22Economy%20News%20-%20Investing.com%22%2C%22ETF%20Analysis%20-%20Investing.com%22%2C%22Investing%20Ideas%20-%20Investing.com%22%5D%2C%22topPanel%22%3A%22researchPanel%22%2C%22maxRecordsNode%22%3Afalse%2C%22version%22%3A7%2C%22lastGridSelectionsRaw%22%3A%5B%22BTU%22%5D%2C%22lastSelectionScreeners%22%3A%22s_39%22%2C%22quotesDisabled%22%3Atrue%2C%22lastSelectionPortfolios%22%3A%22p_2%22%2C%22comparisonPanels%22%3A%7B%22Portfolio%22%3A%22p_2%22%2C%22Index%22%3A%22%5EDJX%22%2C%22Watchlist%22%3A%22Watchlists%22%2C%22Screener%22%3A%22s_39%22%7D%2C%22lastSelectionWatchlists%22%3A%22w_26%22%2C%22indicesSelectedFeeds%22%3A%5B%22Google%20News%22%2C%22Yahoo%20News%22%5D%2C%22newsActive%22%3A%22tickerNews%22%2C%22recentSearchMetrics%22%3A%5B%22Price%22%2C%22EPS%22%2C%22Sales%22%5D%2C%22editPanel%22%3A%22positionsPanel%22%2C%22newsType%22%3A%22marketNews%22%2C%22tableColumns%22%3A%5B%22ticker%22%2C%22rank%22%2C%22score_rank%22%2C%22filter_score%22%2C%22company%22%2C%22cash%22%2C%22currentassets%22%2C%22netppe%22%2C%22intangibles%22%2C%22totalassets%22%2C%22currentliabilities%22%2C%22longtermdebt%22%2C%22totaldebt%22%2C%22totalliabilities%22%2C%22equity%22%2C%22tangiblebookvalue%22%2C%22cash_short_term_p%22%2C%22net_ppe_p%22%2C%22intangibles_p%22%5D%2C%22last_save%22%3A1644769379%2C%22panels%22%3A%7B%22collapsed%22%3A%7B%22chp%22%3Atrue%2C%22ip%22%3Atrue%2C%22mp%22%3Afalse%2C%22qp%22%3Afalse%2C%22conp%22%3Atrue%2C%22fsp%22%3Afalse%7D%2C%22viewportWidth%22%3A%221920%22%2C%22viewportHeight%22%3A%221069%22%2C%22chartPanelHeight%22%3A483%2C%22controlPanelWidth%22%3A296%2C%22insightPanelWidth%22%3A%22485%22%2C%22quoteBoxHeight%22%3A200%2C%22navigationPanelWidth%22%3A277%7D%7D&updateMarket=true&page=1&start=0&limit=250"
headers = {
'authority': 'www.stockrover.com',
'sec-ch-ua': '" Not A;Brand";v="99", "Chromium";v="98", "Google Chrome";v="98"',
'x-csrf-token': '7yR4pfI0kAArtjJak535+NJrpB0L212PAbXCg0kbyE4SyjFaQ73sMHJLiqAkPb5nGzfC8KvAa3kTADLAEQXyOQ==',
'sec-ch-ua-mobile': '?0',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/98.0.4758.82 Safari/537.36',
'content-type': 'application/x-www-form-urlencoded; charset=UTF-8',
'accept': 'application/json',
'x-requested-with': 'XMLHttpRequest',
'sec-ch-ua-platform': '"Windows"',
'origin': 'https://www.stockrover.com',
'sec-fetch-site': 'same-origin',
'sec-fetch-mode': 'cors',
'sec-fetch-dest': 'empty',
'referer': 'https://www.stockrover.com/research/table/281/s_39/BTU',
'accept-language': 'en-US,en;q=0.9',
'cookie': 'remember_me_pref=0; user_name=test11964; plan=3; premiumBraintreeKey=MIIBCgKCAQEAzM4LJfrNnBOgRFB1dDJkmqTFCWT2Y%2BksOydD8xDH4R033WUzxbffMZb%2B3dqEyQvOVjLcwFIHByDc4Xwej7enas2E%2FVRyh7Cvyadn7M5zQeRyLcI9Ys5KCozMwxJPc0x76FlXPwiAo1Qlz3RcLb9wGHBag2R51FuTie%2BhVDCgzWajqDCREzRhi%2Fqlt3D%2FxXNo%2FiwJlpOUr%2Fx1QnkkILxgKlq1dD7KJ767O5ojYKXsO%2BV2Bfu7sSD3djsOxQJ1%2FRbaDm2E96EDkWhhOeOpPndQ6IuSl4NmnJg%2Fcq6f8csW8M3Ys%2BMZPFkdxPC4%2FfRM1XC9o76PjpVNBIO%2ByJEELKZedwIDAQAB; lr=1644769628; _Ruby2_session=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%3D--1439f36a7f9362aee4b5b666747a2d63d72e81bd'
}
response = requests.request("POST", url, headers=headers, data=payload)
stock_info = response.json()['stock_infos']
stock_data(stock_info)
New Non-Working Code
import requests
import pandas as pd
url = "https://www.stockrover.com/stock_infos/grid?_dc=1644769629231"
def stock_data(stock_info):
data = pd.DataFrame(stock_info)
data.to_csv("data.csv", index=False)
payload = "state=%7B%22sortInfo%22%3A%7B%7D%2C%22columns%22%3A%5B77%2C32%2C498%2C500%2C31%2C27%2C499%2C30%2C578%2C28%2C29%2C544%2C181%2C185%2C186%5D%2C%22view%22%3A281%2C%22priorPrimaryColumn%22%3A170%2C%22filterData%22%3A%5B%5D%2C%22name%22%3A%22New%201%22%2C%22cType%22%3A%22Screener%22%2C%22cNode%22%3A%22s_39%22%2C%22cIsFolder%22%3Afalse%2C%22gridSelection%22%3A%22BTU%22%2C%22lastActive%22%3A1396898415%2C%22primaryColumn%22%3A76%2C%22folderDisabledParams%22%3A%7B%22filterData%22%3A%5B%5D%7D%2C%22mainGridDateRange%22%3A%22ytd%22%2C%22groupState%22%3Anull%2C%22moversGridDateRange%22%3A%221_day%22%2C%22peersGridDateRange%22%3A%221_day%22%2C%22lastGridSelections%22%3A%5B%22BTU%22%5D%2C%22lastQuantNode%22%3A%5B%5D%2C%22includeQuotesInTable%22%3Afalse%2C%22includeAllQuotesLastValue%22%3Afalse%2C%22markets%22%3A%7B%22panel%22%3A%22summary%22%7D%2C%22researchPanel%22%3A%22tablePanel%22%2C%22recentSearchTickers%22%3A%5B%22SPY%22%2C%22AMZN%22%2C%22AAPL%22%2C%22s_32%22%2C%22%5ENDX%22%2C%22AXP%22%2C%22XOM%22%2C%22AFL%22%2C%22%5EDJX%22%2C%22AIT%22%2C%22ADVC%22%5D%2C%22quotesBoxTickers%22%3A%5B%22AMZN%22%2C%22AAPL%22%2C%22SPY%22%5D%2C%22checkedQuotesBoxTickers%22%3A%5B%22AMZN%22%2C%22AAPL%22%2C%22SPY%22%5D%2C%22dashboard%22%3A%7B%22buttonRef%22%3A%22272%22%7D%2C%22tickerSelectedFeeds%22%3A%5B%22Benzinga%20News%22%2C%22Yahoo%20News%22%5D%2C%22marketSelectedFeeds%22%3A%5B%22Google%20News%22%2C%22Stock%20Market%20News%20-%20Investing.com%22%5D%2C%22bondsSelectedFeeds%22%3A%5B%22Bonds%20Strategy%20-%20Investing.com%22%5D%2C%22commoditiesSelectedFeeds%22%3A%5B%22Commodities%20%26%20Futures%20News%20-%20Investing.com%22%2C%22Commodities%20Fundamental%20Analysis%20-%20Investing.com%22%2C%22Commodities%20Strategy%20Analysis%20-%20Investing.com%22%5D%2C%22stocksSelectedFeeds%22%3A%5B%22CNNMoney%20News%22%2C%22Google%20News%22%2C%22Seeking%20Alpha%20Top%20Stories%22%5D%2C%22etfsSelectedFeeds%22%3A%5B%22Economy%20News%20-%20Investing.com%22%2C%22ETF%20Analysis%20-%20Investing.com%22%2C%22Investing%20Ideas%20-%20Investing.com%22%5D%2C%22topPanel%22%3A%22researchPanel%22%2C%22maxRecordsNode%22%3Afalse%2C%22version%22%3A7%2C%22lastGridSelectionsRaw%22%3A%5B%22BTU%22%5D%2C%22lastSelectionScreeners%22%3A%22s_39%22%2C%22quotesDisabled%22%3Atrue%2C%22lastSelectionPortfolios%22%3A%22p_2%22%2C%22comparisonPanels%22%3A%7B%22Portfolio%22%3A%22p_2%22%2C%22Index%22%3A%22%5EDJX%22%2C%22Watchlist%22%3A%22Watchlists%22%2C%22Screener%22%3A%22s_39%22%7D%2C%22lastSelectionWatchlists%22%3A%22w_26%22%2C%22indicesSelectedFeeds%22%3A%5B%22Google%20News%22%2C%22Yahoo%20News%22%5D%2C%22newsActive%22%3A%22tickerNews%22%2C%22recentSearchMetrics%22%3A%5B%22Price%22%2C%22EPS%22%2C%22Sales%22%5D%2C%22editPanel%22%3A%22positionsPanel%22%2C%22newsType%22%3A%22marketNews%22%2C%22tableColumns%22%3A%5B%22ticker%22%2C%22rank%22%2C%22score_rank%22%2C%22filter_score%22%2C%22company%22%2C%22cash%22%2C%22currentassets%22%2C%22netppe%22%2C%22intangibles%22%2C%22totalassets%22%2C%22currentliabilities%22%2C%22longtermdebt%22%2C%22totaldebt%22%2C%22totalliabilities%22%2C%22equity%22%2C%22tangiblebookvalue%22%2C%22cash_short_term_p%22%2C%22net_ppe_p%22%2C%22intangibles_p%22%5D%2C%22last_save%22%3A1644769379%2C%22panels%22%3A%7B%22collapsed%22%3A%7B%22chp%22%3Atrue%2C%22ip%22%3Atrue%2C%22mp%22%3Afalse%2C%22qp%22%3Afalse%2C%22conp%22%3Atrue%2C%22fsp%22%3Afalse%7D%2C%22viewportWidth%22%3A%221920%22%2C%22viewportHeight%22%3A%221069%22%2C%22chartPanelHeight%22%3A483%2C%22controlPanelWidth%22%3A296%2C%22insightPanelWidth%22%3A%22485%22%2C%22quoteBoxHeight%22%3A200%2C%22navigationPanelWidth%22%3A277%7D%7D&updateMarket=true&page=1&start=0&limit=250"
headers = {
'authority': 'www.stockrover.com',
'sec-ch-ua': '" Not A;Brand";v="99", "Chromium";v="98", "Google Chrome";v="98"',
'x-csrf-token': '7yR4pfI0kAArtjJak535+NJrpB0L212PAbXCg0kbyE4SyjFaQ73sMHJLiqAkPb5nGzfC8KvAa3kTADLAEQXyOQ==',
'sec-ch-ua-mobile': '?0',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/98.0.4758.82 Safari/537.36',
'content-type': 'application/x-www-form-urlencoded; charset=UTF-8',
'accept': 'application/json',
'x-requested-with': 'XMLHttpRequest',
'sec-ch-ua-platform': '"Windows"',
'origin': 'https://www.stockrover.com',
'sec-fetch-site': 'same-origin',
'sec-fetch-mode': 'cors',
'sec-fetch-dest': 'empty',
'referer': 'https://www.stockrover.com/research/table/281/s_39/BTU',
'accept-language': 'en-US,en;q=0.9',
'cookie': 'remember_me_pref=0; user_name=test11964; plan=3; premiumBraintreeKey=MIIBCgKCAQEAzM4LJfrNnBOgRFB1dDJkmqTFCWT2Y%2BksOydD8xDH4R033WUzxbffMZb%2B3dqEyQvOVjLcwFIHByDc4Xwej7enas2E%2FVRyh7Cvyadn7M5zQeRyLcI9Ys5KCozMwxJPc0x76FlXPwiAo1Qlz3RcLb9wGHBag2R51FuTie%2BhVDCgzWajqDCREzRhi%2Fqlt3D%2FxXNo%2FiwJlpOUr%2Fx1QnkkILxgKlq1dD7KJ767O5ojYKXsO%2BV2Bfu7sSD3djsOxQJ1%2FRbaDm2E96EDkWhhOeOpPndQ6IuSl4NmnJg%2Fcq6f8csW8M3Ys%2BMZPFkdxPC4%2FfRM1XC9o76PjpVNBIO%2ByJEELKZedwIDAQAB; lr=1644769628; _Ruby2_session=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%3D--1439f36a7f9362aee4b5b666747a2d63d72e81bd'
}
response = requests.request("POST", url, headers=headers, data=payload)
stock_info = response.json()['stock_infos']
stock_data(stock_info)
for info in stock_info:
key = info[0]
for i, sub in enumerate(info[1:], 1):
if sub == key:
print(info[i:])
break

If you don't need to keep those columns just slice them out by adding a line to your original code:
data = pd.DataFrame(stock_info)
data = data.iloc[:, 4:]
In original code:
import requests
import pandas as pd
url = "https://www.stockrover.com/stock_infos/grid?_dc=1644769629231"
def stock_data(stock_info):
data = pd.DataFrame(stock_info)
data = data.iloc[:, 4:]
data.to_csv("data.csv", index=False)
payload = "state=%7B%22sortInfo%22%3A%7B%7D%2C%22columns%22%3A%5B77%2C32%2C498%2C500%2C31%2C27%2C499%2C30%2C578%2C28%2C29%2C544%2C181%2C185%2C186%5D%2C%22view%22%3A281%2C%22priorPrimaryColumn%22%3A170%2C%22filterData%22%3A%5B%5D%2C%22name%22%3A%22New%201%22%2C%22cType%22%3A%22Screener%22%2C%22cNode%22%3A%22s_39%22%2C%22cIsFolder%22%3Afalse%2C%22gridSelection%22%3A%22BTU%22%2C%22lastActive%22%3A1396898415%2C%22primaryColumn%22%3A76%2C%22folderDisabledParams%22%3A%7B%22filterData%22%3A%5B%5D%7D%2C%22mainGridDateRange%22%3A%22ytd%22%2C%22groupState%22%3Anull%2C%22moversGridDateRange%22%3A%221_day%22%2C%22peersGridDateRange%22%3A%221_day%22%2C%22lastGridSelections%22%3A%5B%22BTU%22%5D%2C%22lastQuantNode%22%3A%5B%5D%2C%22includeQuotesInTable%22%3Afalse%2C%22includeAllQuotesLastValue%22%3Afalse%2C%22markets%22%3A%7B%22panel%22%3A%22summary%22%7D%2C%22researchPanel%22%3A%22tablePanel%22%2C%22recentSearchTickers%22%3A%5B%22SPY%22%2C%22AMZN%22%2C%22AAPL%22%2C%22s_32%22%2C%22%5ENDX%22%2C%22AXP%22%2C%22XOM%22%2C%22AFL%22%2C%22%5EDJX%22%2C%22AIT%22%2C%22ADVC%22%5D%2C%22quotesBoxTickers%22%3A%5B%22AMZN%22%2C%22AAPL%22%2C%22SPY%22%5D%2C%22checkedQuotesBoxTickers%22%3A%5B%22AMZN%22%2C%22AAPL%22%2C%22SPY%22%5D%2C%22dashboard%22%3A%7B%22buttonRef%22%3A%22272%22%7D%2C%22tickerSelectedFeeds%22%3A%5B%22Benzinga%20News%22%2C%22Yahoo%20News%22%5D%2C%22marketSelectedFeeds%22%3A%5B%22Google%20News%22%2C%22Stock%20Market%20News%20-%20Investing.com%22%5D%2C%22bondsSelectedFeeds%22%3A%5B%22Bonds%20Strategy%20-%20Investing.com%22%5D%2C%22commoditiesSelectedFeeds%22%3A%5B%22Commodities%20%26%20Futures%20News%20-%20Investing.com%22%2C%22Commodities%20Fundamental%20Analysis%20-%20Investing.com%22%2C%22Commodities%20Strategy%20Analysis%20-%20Investing.com%22%5D%2C%22stocksSelectedFeeds%22%3A%5B%22CNNMoney%20News%22%2C%22Google%20News%22%2C%22Seeking%20Alpha%20Top%20Stories%22%5D%2C%22etfsSelectedFeeds%22%3A%5B%22Economy%20News%20-%20Investing.com%22%2C%22ETF%20Analysis%20-%20Investing.com%22%2C%22Investing%20Ideas%20-%20Investing.com%22%5D%2C%22topPanel%22%3A%22researchPanel%22%2C%22maxRecordsNode%22%3Afalse%2C%22version%22%3A7%2C%22lastGridSelectionsRaw%22%3A%5B%22BTU%22%5D%2C%22lastSelectionScreeners%22%3A%22s_39%22%2C%22quotesDisabled%22%3Atrue%2C%22lastSelectionPortfolios%22%3A%22p_2%22%2C%22comparisonPanels%22%3A%7B%22Portfolio%22%3A%22p_2%22%2C%22Index%22%3A%22%5EDJX%22%2C%22Watchlist%22%3A%22Watchlists%22%2C%22Screener%22%3A%22s_39%22%7D%2C%22lastSelectionWatchlists%22%3A%22w_26%22%2C%22indicesSelectedFeeds%22%3A%5B%22Google%20News%22%2C%22Yahoo%20News%22%5D%2C%22newsActive%22%3A%22tickerNews%22%2C%22recentSearchMetrics%22%3A%5B%22Price%22%2C%22EPS%22%2C%22Sales%22%5D%2C%22editPanel%22%3A%22positionsPanel%22%2C%22newsType%22%3A%22marketNews%22%2C%22tableColumns%22%3A%5B%22ticker%22%2C%22rank%22%2C%22score_rank%22%2C%22filter_score%22%2C%22company%22%2C%22cash%22%2C%22currentassets%22%2C%22netppe%22%2C%22intangibles%22%2C%22totalassets%22%2C%22currentliabilities%22%2C%22longtermdebt%22%2C%22totaldebt%22%2C%22totalliabilities%22%2C%22equity%22%2C%22tangiblebookvalue%22%2C%22cash_short_term_p%22%2C%22net_ppe_p%22%2C%22intangibles_p%22%5D%2C%22last_save%22%3A1644769379%2C%22panels%22%3A%7B%22collapsed%22%3A%7B%22chp%22%3Atrue%2C%22ip%22%3Atrue%2C%22mp%22%3Afalse%2C%22qp%22%3Afalse%2C%22conp%22%3Atrue%2C%22fsp%22%3Afalse%7D%2C%22viewportWidth%22%3A%221920%22%2C%22viewportHeight%22%3A%221069%22%2C%22chartPanelHeight%22%3A483%2C%22controlPanelWidth%22%3A296%2C%22insightPanelWidth%22%3A%22485%22%2C%22quoteBoxHeight%22%3A200%2C%22navigationPanelWidth%22%3A277%7D%7D&updateMarket=true&page=1&start=0&limit=250"
headers = {
'authority': 'www.stockrover.com',
'sec-ch-ua': '" Not A;Brand";v="99", "Chromium";v="98", "Google Chrome";v="98"',
'x-csrf-token': '7yR4pfI0kAArtjJak535+NJrpB0L212PAbXCg0kbyE4SyjFaQ73sMHJLiqAkPb5nGzfC8KvAa3kTADLAEQXyOQ==',
'sec-ch-ua-mobile': '?0',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/98.0.4758.82 Safari/537.36',
'content-type': 'application/x-www-form-urlencoded; charset=UTF-8',
'accept': 'application/json',
'x-requested-with': 'XMLHttpRequest',
'sec-ch-ua-platform': '"Windows"',
'origin': 'https://www.stockrover.com',
'sec-fetch-site': 'same-origin',
'sec-fetch-mode': 'cors',
'sec-fetch-dest': 'empty',
'referer': 'https://www.stockrover.com/research/table/281/s_39/BTU',
'accept-language': 'en-US,en;q=0.9',
'cookie': 'remember_me_pref=0; user_name=test11964; plan=3; premiumBraintreeKey=MIIBCgKCAQEAzM4LJfrNnBOgRFB1dDJkmqTFCWT2Y%2BksOydD8xDH4R033WUzxbffMZb%2B3dqEyQvOVjLcwFIHByDc4Xwej7enas2E%2FVRyh7Cvyadn7M5zQeRyLcI9Ys5KCozMwxJPc0x76FlXPwiAo1Qlz3RcLb9wGHBag2R51FuTie%2BhVDCgzWajqDCREzRhi%2Fqlt3D%2FxXNo%2FiwJlpOUr%2Fx1QnkkILxgKlq1dD7KJ767O5ojYKXsO%2BV2Bfu7sSD3djsOxQJ1%2FRbaDm2E96EDkWhhOeOpPndQ6IuSl4NmnJg%2Fcq6f8csW8M3Ys%2BMZPFkdxPC4%2FfRM1XC9o76PjpVNBIO%2ByJEELKZedwIDAQAB; lr=1644769628; _Ruby2_session=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%3D--1439f36a7f9362aee4b5b666747a2d63d72e81bd'
}
response = requests.request("POST", url, headers=headers, data=payload)
stock_info = response.json()['stock_infos']
stock_data(stock_info)

The added block of code is added after the csv file has already been written.
You have other problems as well but that is the most obvious at the moment.
it should be closer to...
...
for info in stock_info:
key = info[0]
for i, sub in enumerate(info[1:], 1):
if sub == key:
print(info[i:])
break
stock_data(stock_info)
Also the added block of code doesn't actually make any changes to the data, it only changes what ends up getting printed. Whatever changes you want made to the file need to be made to stock_info.

python requests not returning json data

I would like to get the json data from for instance https://app.weathercloud.net/d0838117883#current using python requests module.
I tried:
import re
import requests
device='0838117883'
URL='https://app.weathercloud.net'
URL1=URL+'/d'+device
URL2=URL+'/device/stats'
headers={'Content-Type':'text/plain; charset=UTF-8',
'Referer':URL1,
'User-Agent':'Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/48.0.2564.82 Chrome/48.0.2564.82 Safari/537.36',
'Accept':'application/json, text/javascript,*/*'}
with requests.Session() as s:
#get html from URL1 in order to get the CSRF token
page = s.get(URL1)
CSRF=re.findall('WEATHERCLOUD_CSRF_TOKEN:"(.*)"},',page.text)[0]
#create parameters for URL2, in order to get the json file
params={'code':device,'WEATHERCLOUD_CSRF_TOKEN':CSRF}
page_stats=requests.get(URL2,params=params,headers=headers)
print(page_stats.url)
print(page_stats) #<Response [200]>
print(page_stats.text) #empty
print(page_stats.json()) #error
But the page_stats is empty.
How can I get the stats data from weathercloud?

Inspecting the page with DevTools, you'll find a useful endpoint:
https://app.weathercloud.net/device/stats
You can "replicate" the original web request made by your browser with requests library:
import requests
cookies = {
'PHPSESSID': '************************',
'WEATHERCLOUD_CSRF_TOKEN':'***********************',
'_ga': '**********',
'_gid': '**********',
'__gads': 'ID=**********',
'WeathercloudCookieAgreed': 'true',
'_gat': '1',
'WEATHERCLOUD_RECENT_ED3C8': '*****************',
}
headers = {
'Connection': 'keep-alive',
'sec-ch-ua': '^\\^Google',
'Accept': 'application/json, text/javascript, */*; q=0.01',
'X-Requested-With': 'XMLHttpRequest',
'sec-ch-ua-mobile': '?0',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.82 Safari/537.36',
'sec-ch-ua-platform': '^\\^Windows^\\^',
'Sec-Fetch-Site': 'same-origin',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Dest': 'empty',
'Referer': 'https://app.weathercloud.net/d0838117883',
'Accept-Language': 'it-IT,it;q=0.9,en-US;q=0.8,en;q=0.7,es;q=0.6',
}
params = (
('code', '0838117883'),
('WEATHERCLOUD_CSRF_TOKEN', '****************'),
)
response = requests.get('https://app.weathercloud.net/device/stats', headers=headers, params=params, cookies=cookies)
# Serializing json
json_object = json.loads(response.text)
json Output:
{'last_update': 1632842172,
'bar_current': [1632842172, 1006.2],
'bar_day_max': [1632794772, 1013.4],
'bar_day_min': [1632845772, 1006.2],
'bar_month_max': [1632220572, 1028],
'bar_month_min': [1632715572, 997.3],
'bar_year_max': [1614418512, 1038.1],
'bar_year_min': [1615434432, 988.1],
'wdir_current': [1632842172, 180],
..............}
That's it.

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