CODEWITHSUNDEEP
pythonjsonpandas
bkcollection
bkcollection

Reputation: 924

Python :ValueError: No JSON object could be decoded

I am accessing a json data and want to convert it in pandas dataframe. Unfortunately, an error occurred when json.loads(req.text)

ValueError: No JSON object could be decoded

Below is my code.

HEADERS = {"User-Agent": "Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.71 Safari/537.36",
          "Origin": "https://www.idx.co.id"}
req = requests.get("https://www.idx.co.id/Portals/0/StaticData/HomeHtml/data.js",
                  headers=HEADERS)
stocks = json.loads(req.text)
columns = ['code', 'name']

df = pd.DataFrame([{k: v for k,v in d.items() if k in columns}
              for d in stocks, columns = columns)

Upvotes: 0

Views: 83

Answers (1)

ionpoint
ionpoint

Reputation: 881

You are not actually receiving a JSON, but a Javascript file. Applying a simple regular expression matching all the data between [] you can achieve the desired result.

import requests
import json
import re

req = requests.get("https://www.idx.co.id/Portals/0/StaticData/HomeHtml/data.js")
content = re.findall(r"= (\[.*?\]);", req.text)
data = json.loads(content[0])
print(data)

Edit: an useful website to test python regexp is https://pythex.org/

Upvotes: 1

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