How can you extract data from this json using, beautifulsoup and python? - python

how can get those two values utc_last_updated and name given the following json ?
I used requests, to get to fetch the content, and then I used BeautifulSoup to make it like it is now. But now I just want to extract the two values that I have shown.
"data": [
{
"scm": "hg",
"has_wiki": false,
"last_updated": "2016-03-23T14:05:27.433",
"no_forks": false,
"created_on": "2016-03-18T22:55:52.705",
"owner": "user",
"email_mailinglist": "",
"is_mq": false,
"size": 420034,
"read_only": false,
"fork_of": null,
"mq_of": null,
"state": "available",
"utc_created_on": "2016-03-18 21:55:52+00:00",
"website": "",
"description": "",
"has_issues": false,
"is_fork": false,
"slug": "store",
"is_private": true,
"name": "store",
"language": "python",
"utc_last_updated": "2016-03-23 13:05:27+00:00",
"no_public_forks": true,
"creator": null,
"resource_uri": "/1.0/repositories/my_url"
},
{
"scm": "hg",
"has_wiki": false,
"last_updated": "2016-03-18T12:26:22.261",
"no_forks": false,
"created_on": "2016-03-18T12:19:08.262",
"owner": "user",
"email_mailinglist": "",
"is_mq": false,
"size": 173137,
"read_only": false,
"fork_of": null,
"mq_of": null,
"state": "available",
"utc_created_on": "2016-03-18 11:19:08+00:00",
"website": "",
"description": "",
"has_issues": false,
"is_fork": false,
"name": 'foo'
"is_private": true,,
"language": "python",
"utc_last_updated": "2016-03-18 11:26:22+00:00",
"no_public_forks": true,
"creator": null,
"resource_uri": "/1.0/repositories/my_rl"
},
}
I will appreciate any help.


You've got a JSON response, not HTML - parse it with json module:
import json
data = json.loads(response)
for item in data["data"]:
print(item["utc_last_updated"])

Related

I am Curious on how should I approach to get the JSON to Pandas

I'm trying to write code to use data to generate a report. Instead of iterating through the dictionary, I wanted to use Pandas this time.
So, the first issue I faced was null in the data. I corrected it using json.loads().
I am trying to understand how can I get the nested JSON to Pandas.
How should I go about getting the below data to pandas? read_json() throws an error.
{
"Scans": [
{
"Targets": [
{
"Id": "5a8f415a-5146-4e39-8827-33cdb14ad478",
"Host": "xyz.com"
}
],
"Id": "51b13233-b3de-4f26-81d6-0001314f635f",
"Status": 32,
"StartTime": "2021-05-25T16:00:13.16",
"WindowScanStart": "2021-05-25T16:00:00.76",
"WindowScanStop": null,
"StartedBy": "8cafa5bc-b0df-496f-bab7-74f71eeadf9d",
"StoppedTime": null,
"CompletionTime": "2021-05-25T17:18:43.007",
"IsApproveRequired": false,
"IsMonitoring": false,
"IsUploaded": false,
"IsImported": true,
"SubStatus": null
},
{
"Targets": [
{
"Id": "6108c410-7d5c-41c9-979a-c8bf70e6f6bf",
"Host": "abc.com"
}
],
"Id": "de3a98a3-cb95-42ce-874b-00037347ebba",
"Status": 72,
"StartTime": "2021-06-07T19:50:01.85",
"WindowScanStart": "2021-06-07T19:49:44.517",
"WindowScanStop": null,
"StartedBy": "b6a3f887-0b4a-43e1-ba5b-fd93e60e58b6",
"StoppedTime": null,
"CompletionTime": "2021-06-07T19:50:53.667",
"IsApproveRequired": false,
"IsMonitoring": false,
"IsUploaded": false,
"IsImported": false,
"SubStatus": null
},
],
"IsSuccess": true,
"Reason": null,
"ErrorMessage": null
}
I am able to handle nulls using json.loads(). How can I create a Pandas Dataframe from this?

I suspect your problem is the comma after the } in the line before the ],
There is no following element, so the comma is not correct.
Remove that and try again.
{
"Scans": [
{
"Targets": [
{
"Id": "5a8f415a-5146-4e39-8827-33cdb14ad478",
"Host": "xyz.com"
}
],
"Id": "51b13233-b3de-4f26-81d6-0001314f635f",
"Status": 32,
"StartTime": "2021-05-25T16:00:13.16",
"WindowScanStart": "2021-05-25T16:00:00.76",
"WindowScanStop": null,
"StartedBy": "8cafa5bc-b0df-496f-bab7-74f71eeadf9d",
"StoppedTime": null,
"CompletionTime": "2021-05-25T17:18:43.007",
"IsApproveRequired": false,
"IsMonitoring": false,
"IsUploaded": false,
"IsImported": true,
"SubStatus": null
},
{
"Targets": [
{
"Id": "6108c410-7d5c-41c9-979a-c8bf70e6f6bf",
"Host": "abc.com"
}
],
"Id": "de3a98a3-cb95-42ce-874b-00037347ebba",
"Status": 72,
"StartTime": "2021-06-07T19:50:01.85",
"WindowScanStart": "2021-06-07T19:49:44.517",
"WindowScanStop": null,
"StartedBy": "b6a3f887-0b4a-43e1-ba5b-fd93e60e58b6",
"StoppedTime": null,
"CompletionTime": "2021-06-07T19:50:53.667",
"IsApproveRequired": false,
"IsMonitoring": false,
"IsUploaded": false,
"IsImported": false,
"SubStatus": null
}
],
"IsSuccess": true,
"Reason": null,
"ErrorMessage": null
}

Formatting cookies.json into requests(cookies) Python

How can I use my cookie.json file in python request and log in website with this cookie cookies. This is my json file example:
[
{
"domain": "example.com",
"expirationDate": 161551211,
"hostOnly": false,
"httpOnly": false,
"name": "usernameexample",
"path": "/",
"sameSite": null,
"secure": false,
"session": false,
"storeId": null,
"value": "878203952"
},
{
"domain": "example.com",
"expirationDate": 164813154441,
"hostOnly": false,
"httpOnly": false,
"name": "usernameexample",
"path": "/",
"sameSite": "..x",
"secure": false,
"session": false,
"storeId": null,
"value": "is
},...]

I am trying to create a database using the data in the json file provided

The program for creating the database, I am trying to do that in python. I have a json file whose contents will be used to populate the db.
In this we need to parse a JSON file, create a relational database dbjson corresponding to the JSON file, and upload the data into the dbjson.
The following is the formatted json file:
{
"cursor": {
"prev": null,
"hasNext": false,
"next": "1542275432008325:1:0",
"hasPrev": false,
"total": null,
"id": "1542275432008325:1:0",
"more": false
},
"code": 0,
"response": [
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"message": "<p>A sinking pound, resignations by the bucketful railroading through a so-called agreement nobody wants. For the good of the country Mrs. May 'go and go now'.</p>",
"id": "4196155749",
"createdAt": "2018-11-15T11:20:37",
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"message": "<p>Damned if she does, damned if she doesn't. All for a cause she does not believe in.<br>She will go down in history whatever happens. <br>The question is: who better to lead the country at such an important juncture??<br>Answers on a postcard!</p>",
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This data must be used to populate the database.
The following is the implementation I have worked out:
import csv, json, sys
if sys.argv[1] is not None and sys.argv[2] is not None:
fileInput = sys.argv[1]
fileOutput = sys.argv[2]
inputFile = open(fileInput)
outputFile = open(fileOutput, 'w')
data = json.load(inputFile)
inputFile.close()
output = csv.writer(outputFile)
output.writerow(data.keys())
#output.writerow(data[0].keys()) # header row
for row in data:
output.writerow(row.values())
I tried to parse data using json package in python but have not been able to successfully implement it.

This seems a similar problem.
Have you tried it? Please edit with your code and errors

Python 3 Trying to access json array keep getting key error

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___order details___
{
"message_type_name": "OrderPlaced",
"order": {
"adcode": "",
"adcode_id": 0,
"billing_address": {
"address_line_1": "123 east street",
"address_line_2": "apt one"
},
"campaign_code": "",
"channel": "Online",
"customer": {
"adcode": "",
"adcode_id": 0,
"affiliate_id": 0,
"alternate_phone_number": ""
},
"device": "None",
"discount_total": 0.0,
"discounted_shipping_total": 0.0,
"items": [
{
"admin_comments": "",
"cost": 90.0,
"created_at": "2018-12-04T17:14:55.1128646-06:00"
}
],
"manufacturer_invoice_amount": null,
"manufacturer_invoice_number": "",
"manufacturer_invoice_paid": false,
"order_status": {
"color": "#A4E065",
"created_at": null,
"email_template_id": null,
"id": 6,
"is_cancelled": false,
"is_declined": false,
"is_fully_refunded": false,
"is_open": true,
"is_partially_refunded": false,
"is_quote_status": false,
"is_shipped": false,
"name": "Awaiting Payment",
"updated_at": "2015-10-12T22:07:47.487-05:00"
},
"order_status_id": 6,
"order_status_last_changed_at": "2018-12-04T17:14:55.0503538-06:00",
"order_type": "Order",
"payments": [
{
"amount": 100.00,
"approved_at": "",
"authorization_code": ""
"
}
],
"ppc_keyword": "",
"previous_order_status_id": 6,
"shipments": [],
"shipping_address": {
"comments": "",
"company": "",
"country": "United States"
},
"shipping_total": 0.0,
"source": "Google [organic]"
},
"store_id": 1
}
I have a variable called data: data = json.loads(self.rfile.read( length ).decode('utf-8'))
I have another variable order_payments = data['payments']
I can loop through that and access is_declined
I want to have a variable called order_status = data['order_status'], and then loop through that to access name. I get a key error on order_status = data['order_status']and I dont know why.

stripe: How to convert stripe model object into JSON to get complete hierarchical data?

How can I convert the stripe model object into JSON to receive complete hierarchical data at client end?
stripeCustomer = stripe.Customer.retrieve(<stripe customer id>)
sendResponseToClient(stripeCustomer)
I am receiving only 1st level of data as json at client end, second level data from Stripe JSON object is not formatted.
JSON Data Example: (2nd level of data is not received at client end,)
Customer customer id=cus_DTWEPsfrHx3ikZ at 0x00000a> JSON: {
"id": "cus_DTWEPsfrHx3ikZ",
"object": "customer",
"account_balance": 0,
"created": 1535093686,
"currency": "usd",
"default_source": null,
"delinquent": false,
"description": null,
"discount": null,
"email": "rakesh16+test9#gmail.com",
"invoice_prefix": "E91FF30",
"livemode": false,
"metadata": {
},
"shipping": null,
"sources": {
"object": "list",
"data": [
],
"has_more": false,
"total_count": 0,
"url": "/v1/customers/cus_DTWEPsfrHx3ikZ/sources"
},
"subscriptions": {
"object": "list",
"data": [
{
"id": "sub_DTWEALN3urFael",
"object": "subscription",
"application_fee_percent": null,
"billing": "charge_automatically",
"billing_cycle_anchor": 1535093688,
"cancel_at_period_end": false,
"canceled_at": null,
"created": 1535093688,
"current_period_end": 1537772088,
"current_period_start": 1535093688,
"customer": "cus_DTWEPsfrHx3ikZ",
"days_until_due": null,
"discount": null,
"ended_at": null,
"items": {
"object": "list",
"data": [
{
"id": "si_DTWEuZaU4pw9Cv",
"object": "subscription_item",
"created": 1535093688,
"metadata": {
},
"plan": {
"id": "plan_free",
"object": "plan",
"active": true,
"aggregate_usage": null,
"amount": 0,
"billing_scheme": "per_unit",
"created": 1535008667,
"currency": "usd",
"interval": "month",
"interval_count": 1,
"livemode": false,
"metadata": {
},
"nickname": "free",
"product": "prod_DT8B8auk3CRNdw",
"tiers": null,
"tiers_mode": null,
"transform_usage": null,
"trial_period_days": null,
"usage_type": "licensed"
},
"quantity": 1,
"subscription": "sub_DTWEALN3urFael"
}
],
"has_more": false,
"total_count": 1,
"url": "/v1/subscription_items?subscription=sub_DTWEALN3urFael"
},
"livemode": false,
"metadata": {
},
"plan": {
"id": "plan_free",
"object": "plan",
"active": true,
"aggregate_usage": null,
"amount": 0,
"billing_scheme": "per_unit",
"created": 1535008667,
"currency": "usd",
"interval": "month",
"interval_count": 1,
"livemode": false,
"metadata": {
},
"nickname": "free",
"product": "prod_DT8B8auk3CRNdw",
"tiers": null,
"tiers_mode": null,
"transform_usage": null,
"trial_period_days": null,
"usage_type": "licensed"
},
"quantity": 1,
"start": 1535093688,
"status": "active",
"tax_percent": null,
"trial_end": null,
"trial_start": null
}
],
"has_more": false,
"total_count": 1,
"url": "/v1/customers/cus_DTWEPsfrHx3ikZ/subscriptions"
},
"tax_info": null,
"tax_info_verification": null
}

You can convert the returned Stripe object model to JSON using the following technique to ignore non-serializable fields:
stripeObject = stripe.SomeAPICall(...)
jsonEncoded = json.dumps(stripeObject, default=lambda o: '<not serializable>')
pythonDict = json.loads(jsonEncoded)

you can to_dict() api which will convert the stripe model object into dictionary format and then can be eventually converted into JSON string.

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