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Select Substring from Larger String and Append to List

I'm currently doing some API work with Tenable.io, and I'm having some trouble selecting substrings. I'm sending requests for scan histories, and the API responds with a continuous string of all scans in JSON format. The response I get is a very large continuous string of data, and I need to select some substrings (a few values), and copy that to a list (just for now). Getting data into a list isn't where I'm stuck - I require some serious assistance with selecting the substrings I need. Each scan has the following attributes:
id
status
is_archived
targets
scan_uuid
reindexing
time_start (unix format)
time_end (unix format)
Each of these has a value/boolean following it (see below). I need a way to extract the values following "id":, "scan_uuid:", and "time_start": from the string (and put it in a list just for now).
I'd like to do this without string.index, as this may break the script if the response length changes. There is also a new scan everyday, so the overall length of the response will change. Due to the nature of the data, I'd imagine the ideal solution would be to specify a condition that will select x amount of characters after "id":, "scan_uuid:", and "time_start":, and append them to a list, with the output looking something like:
scan_id_10_response = ["12345678", ""15b6e7cd-447b-84ab-84d3-48a62b18fe6c", "1639111111", etc, etc]
String is below - I've only included the data for 4 scans for simplicity's sake. I've also changed the values for security reasons, but the length & format of the values are the same.
scan_id_10_response = '{"pagination":{"offset":0,"total":119,"sort":[{"order":"DESC","name":"start_date"}],"limit":100},"history":[\
{"id":12345678,"status":"completed","is_archived":false,"targets":{"custom":false,"default":null},"visibility":"public","scan_uuid":"15b6e7cd-447b-84ab-84d3-48a62b18fe6c","reindexing":null,"time_start":1639111111,"time_end":1639111166},\
{"id":23456789,"status":"completed","is_archived":false,"targets":{"custom":false,"default":null},"visibility":"public","scan_uuid":"8a468cff-c64f-668a-3015-101c218b68ae","reindexing":null,"time_start":1632222222,"time_end":1632222255},\
{"id":34567890,"status":"completed","is_archived":false,"targets":{"custom":false,"default":null},"visibility":"public","scan_uuid":"84ea995a-584a-cc48-e352-8742a38c12ff","reindexing":null,"time_start":1639333333,"time_end":1639333344},\
{"id":45678901,"status":"completed","is_archived":false,"targets":{"custom":false,"default":null},"visibility":"public","scan_uuid":"48a95366-48a5-e468-a444-a4486cdd61a2","reindexing":null,"time_start":1639444444,"time_end":1639444455}\
]}'

Basically you can use the standard json module to parse the json string.
Using that code snippet you obtain a dict you can then work with.
import json
c = json.loads(scan_id_10_response)
Now you can for example create a list of list with the desired attributes:
extracted_data = [[d['id'], d['scan_uuid'], d['time_start']] for d in c['history']]
This returns for this particular example:
[[12345678, '15b6e7cd-447b-84ab-84d3-48a62b18fe6c', 1639111111],
[23456789, '8a468cff-c64f-668a-3015-101c218b68ae', 1632222222],
[34567890, '84ea995a-584a-cc48-e352-8742a38c12ff', 1639333333],
[45678901, '48a95366-48a5-e468-a444-a4486cdd61a2', 1639444444]]
If you only want one result at a time use a generator or iterate over the list
gen_extracted = ([d['id'], d['scan_uuid'], d['time_start']] for d in x['history'])
If you dont want to work with a dict i would reccomend you a look into regular expressions.

Python- Insert new values into 'nested' list?

What I'm trying to do isn't a huge problem in php, but I can't find much assistance for Python.
In simple terms, from a list which produces output as follows:
{"marketId":"1.130856098","totalAvailable":null,"isMarketDataDelayed":null,"lastMatchTime":null,"betDelay":0,"version":2576584033,"complete":true,"runnersVoidable":false,"totalMatched":null,"status":"OPEN","bspReconciled":false,"crossMatching":false,"inplay":false,"numberOfWinners":1,"numberOfRunners":10,"numberOfActiveRunners":8,"runners":[{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":2.8,"size":34.16},{"price":2.76,"size":200},{"price":2.5,"size":237.85}],"availableToLay":[{"price":2.94,"size":6.03},{"price":2.96,"size":10.82},{"price":3,"size":33.45}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832765}...
All I want to do is add in an extra field, containing the 'runner name' in the data set below, into each of the 'runners' sub lists from the initial data set, based on selection_id=selectionId.
So initially I iterate through the full dataset, and then create a separate list to get the runner name from the runner id (I should point out that runnerId===selectionId===selection_id, no idea why there are multiple names are used), this works fine and the code is shown below:
for market_book in market_books:
market_catalogues = trading.betting.list_market_catalogue(
market_projection=["RUNNER_DESCRIPTION", "RUNNER_METADATA", "COMPETITION", "EVENT", "EVENT_TYPE", "MARKET_DESCRIPTION", "MARKET_START_TIME"],
filter=betfairlightweight.filters.market_filter(
market_ids=[market_book.market_id],
),
max_results=100)
data = []
for market_catalogue in market_catalogues:
for runner in market_catalogue.runners:
data.append(
(runner.selection_id, runner.runner_name)
)
So as you can see I have the data in data[], but what I need to do is add it to the initial data set, based on the selection_id.
I'm more comfortable with Php or Javascript, so apologies if this seems a bit simplistic, but the code snippets I've found on-line only seem to assist with very simple Python lists and nothing 'nested' (to me the structure seems similar to a nested array).
As per the request below, here is the full list:
{"marketId":"1.130856098","totalAvailable":null,"isMarketDataDelayed":null,"lastMatchTime":null,"betDelay":0,"version":2576584033,"complete":true,"runnersVoidable":false,"totalMatched":null,"status":"OPEN","bspReconciled":false,"crossMatching":false,"inplay":false,"numberOfWinners":1,"numberOfRunners":10,"numberOfActiveRunners":8,"runners":[{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":2.8,"size":34.16},{"price":2.76,"size":200},{"price":2.5,"size":237.85}],"availableToLay":[{"price":2.94,"size":6.03},{"price":2.96,"size":10.82},{"price":3,"size":33.45}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832765},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":20,"size":3},{"price":19.5,"size":26.36},{"price":19,"size":2}],"availableToLay":[{"price":21,"size":13},{"price":22,"size":2},{"price":23,"size":2}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832767},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":11,"size":9.75},{"price":10.5,"size":3},{"price":10,"size":28.18}],"availableToLay":[{"price":11.5,"size":12},{"price":13.5,"size":2},{"price":14,"size":7.75}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832766},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":48,"size":2},{"price":46,"size":5},{"price":42,"size":5}],"availableToLay":[{"price":60,"size":7},{"price":70,"size":5},{"price":75,"size":10}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832769},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":18.5,"size":28.94},{"price":18,"size":5},{"price":17.5,"size":3}],"availableToLay":[{"price":21,"size":20},{"price":23,"size":2},{"price":24,"size":2}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832768},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":4.3,"size":9},{"price":4.2,"size":257.98},{"price":4.1,"size":51.1}],"availableToLay":[{"price":4.4,"size":20.97},{"price":4.5,"size":30},{"price":4.6,"size":16}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832771},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":24,"size":6.75},{"price":23,"size":2},{"price":22,"size":2}],"availableToLay":[{"price":26,"size":2},{"price":27,"size":2},{"price":28,"size":2}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832770},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":5.7,"size":149.33},{"price":5.5,"size":29.41},{"price":5.4,"size":5}],"availableToLay":[{"price":6,"size":85},{"price":6.6,"size":5},{"price":6.8,"size":5}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":10064909}],"publishTime":1551612312125,"priceLadderDefinition":{"type":"CLASSIC"},"keyLineDescription":null,"marketDefinition":{"bspMarket":false,"turnInPlayEnabled":false,"persistenceEnabled":false,"marketBaseRate":5,"eventId":"28180290","eventTypeId":"2378961","numberOfWinners":1,"bettingType":"ODDS","marketType":"NONSPORT","marketTime":"2019-03-29T00:00:00.000Z","suspendTime":"2019-03-29T00:00:00.000Z","bspReconciled":false,"complete":true,"inPlay":false,"crossMatching":false,"runnersVoidable":false,"numberOfActiveRunners":8,"betDelay":0,"status":"OPEN","runners":[{"status":"ACTIVE","sortPriority":1,"id":10064909},{"status":"ACTIVE","sortPriority":2,"id":12832765},{"status":"ACTIVE","sortPriority":3,"id":12832766},{"status":"ACTIVE","sortPriority":4,"id":12832767},{"status":"ACTIVE","sortPriority":5,"id":12832768},{"status":"ACTIVE","sortPriority":6,"id":12832770},{"status":"ACTIVE","sortPriority":7,"id":12832769},{"status":"ACTIVE","sortPriority":8,"id":12832771},{"status":"LOSER","sortPriority":9,"id":10317013},{"status":"LOSER","sortPriority":10,"id":10317010}],"regulators":["MR_INT"],"countryCode":"GB","discountAllowed":true,"timezone":"Europe\/London","openDate":"2019-03-29T00:00:00.000Z","version":2576584033,"priceLadderDefinition":{"type":"CLASSIC"}}}

i think i understand what you are trying to do now
first hold your data as a python object (you gave us a json object)
import json
my_data = json.loads(my_json_string)
for item in my_data['runners']:
item['selectionId'] = [item['selectionId'], my_name_here]
the thing is that my_data['runners'][i]['selectionId'] is a string, unless you want to concat the name and the id together, you should turn it into a list or even a dictionary
each item is a dicitonary so you can always also a new keys to it
item['new_key'] = my_value

So, essentially this works...with one exception...I can see from the print(...) in the loop that the attribute is updated, however what I can't seem to do is then see this update outside the loop.
mkt_runners = []
for market_catalogue in market_catalogues:
for r in market_catalogue.runners:
mkt_runners.append((r.selection_id, r.runner_name))
for market_book in market_books:
for runner in market_book.runners:
for x in mkt_runners:
if runner.selection_id in x:
setattr(runner, 'x', x[1])
print(market_book.market_id, runner.x, runner.selection_id)
print(market_book.json())
So the print(market_book.market_id.... displays as expected, but when I print the whole list it shows the un-updated version. I can't seem to find an obvious solution, which is odd, as it seems like a really simple thing (I tried messing around with indents, in case that was the problem, but it doesn't seem to be, its like its not refreshing the market_book list post update of the runners sub list)!

Reading a dictionary from within a dictionary

I have a json file for tweet data. The data that I want to look at is the text of the tweet. For some reason, some of the tweets are too long to put into the normal text part of the dictionary.
It seems like there is a dictionary within another dictionary and I can't figure out how to access it very well.
Basically, what I want in the end is one column of a data frame that will have all of the text from each individual tweet. Here is a link to a small sample of the data that contains a problem tweet.
Here is the code I have so far:
import json
import pandas as pd
tweets = []
#This writes the json file so that I can work with it. This part works correctly.
with open("filelocation.txt") as source
for line in source:
if line.strip():
tweets.append(json.loads(line))
print(len(tweets)
df = pd.DataFrame.from_dict(tweets)
df.info()
When looking at the info you can see that there will be a column called extended_tweet that only encompasses one of the two sample tweets. Within this column, there seems to be another dictionary with one of those keys being full_text.
I want to add another column to the dataframe that just has this information along with the normal text column when the full_text is null.
My first thought was to try and read that specific column of the dataframe as a dictionary again using:
d = pd.DataFrame.from_dict(tweets['extended_tweet]['full_text])
But this doesn't work. I don't really understand why that doesn't work as that is how I read the data the first time.
My guess is that I can't look at the specific names because I am going back to the list and it would have to read all or none. The error it gives me says "KeyError: 'full_text' "
I also tried using the recommendation provided by this website. But this gave me a None value no matter what.
Thanks in advance!
I tried to do what #Dan D. suggested, however, this still gave me errors. But it gave me the idea to try this:
tweet[0]['extended_tweet']['full_text']
This works and gives me the value that I am looking for. But I need to run through the whole thing. So I tried this:
df['full'] = [tweet[i]['extended_tweet']['full_text'] for i in range(len(tweet))
This gives me "Key Error: 'extended_tweet' "
Does it seem like I am on the right track?

I would suggest to flatten out the dictionaries like this:
tweet = json.loads(line)
tweet['full_text'] = tweet['extended_tweet']['full_text']
tweets.append(tweet)

I don't know if the answer suggested earlier works. I never got that successfully. But I did figure out something else that works well for me.
What I really needed was a way to display the full text of a tweet. I first loaded the tweets from the json with what I posted above. Then I noticed that in the data file, there is something called truncated. If this value is true, the tweet is cut short and the full tweet is placed within the
tweet[i]['extended_tweet]['full_text]
In order to access it, I used this:
tweet_list = []
for i in range(len(tweets)):
if tweets[i]['truncated'] == 'True':
tweet_list.append(tweets[i]['extended_tweet']['full_text']
else:
tweet_list.append(tweets[i]['text']
Then I can work with the data using the whol text from each tweet.

Parsing JSON in Python (Reverse dictionary search)

I'm using Python and "requests" to practice the use of API. I've had success with basic requests and parsing, but having difficulty with list comprehension for a more complex project.
I requested from a server and got a dictionary. From there, I used:
participant_search = (match1_request['participantIdentities'])
To convert the values of the participantIdentities key to get the following data:
[{'player':
{'summonerName': 'Crescent Bladex',
'matchHistoryUri': '/v1/stats/player_history/NA1/226413119',
'summonerId': 63523774,
'profileIcon': 870},
'participantId': 1},
My goal here is to combine the summonerId and participantId to one list. Which is easy normally, but the order of ParticipantIdentities is randomized. So the player I want information on will sometimes be 1st on the list, and other times third.
So I can't use the var = list[0] like how I would normally do.
I have access to summonerId, so I'm thinking I can search the list the summonerId, then somehow collect all the information around it. For instance, if I knew 63523774 then I could find the key for it. From here, is it possible to find the parent list of the key?
Any guidance would be appreciated.
Edit (Clarification):
Here's the data I'm working with: http://pastebin.com/spHk8VP0
At line 1691 is where participant the nested dictionary 'participantIdentities' is. From here, there are 10 dictionaries. These 10 dictionaries include two nested dictionaries, "player" and "participantId".
My goal is to search these 10 dictionaries for the one dictionary that has the summonerId. The summonerId is something I already know before I make this request to the server.
So I'm looking for some sort of "search" method, that goes beyond "true/false". A search method that, if a value is found within an object, the entire dictionary (key:value) is given.

Not sure if I properly understood you, but would this work?
for i in range(len(match1_request['participantIdentities'])):
if(match1_request['participantIdentities'][i]['summonerid'] == '63523774':
# do whatever you want with it.
i becomes the index you're searching for.

ds = match1_request['participantIdentities']
result_ = [d for d in ds if d["player"]["summonerId"] == 12345]
result = result_[0] if result_ else {}
See if it works for you.

You can use a dict comprehension to build a dict wich uses summonerIds as keys:
players_list = response['participantIdentities']
{p['player']['summonerId']: p['participantId'] for p in players_list}

I think what you are asking for is: "How do I get the stats for a given a summoner?"
You'll need a mapping of participantId to summonerId.
For example, would it be helpful to know this?
summoner[1] = 63523774
summoner[2] = 44610089
...
If so, then:
# This is probably what you are asking for:
summoner = {ident['participantId']: ident['player']['summonerId']
for ident in match1_request['participantIdentities']}
# Then you can do this:
summoner_stats = {summoner[p['participantId']]: p['stats']
for p in match1_request['participants']}
# And to lookup a particular summoner's stats:
print summoner_stats[44610089]
(ref: raw data you pasted)

Parsing data with pattern

I'm parsing some data with the pattern as follows:
tagA:
titleA
dataA1
dataA2
dataA3
...
tagB:
titleB
dataB1
dataB2
dataB3
...
tagC:
titleC
dataC1
dataC2
...
...
These tags are stored in a list list_of_tags, if I iterate through the list, I can get all the tags; also, if iterating through the tags, I can get the title and the data associated with the title.
The tags in my data are pretty much something like <div>, so they are not useful to me; what I'm trying to do is to construct a dictionary which uses titles as keys and datas as a list of values.
The constructed dictionary would look like:
{
titleA: [dataA1, dataA2, dataA3...],
titleB: [dataB1, dataB2, dataB3...],
...
}
Notice every tag only contains one title and some datas, and title always comes before data.
So here are my working codes:
Method 1:
result = {}
for tag in list_of_tags:
list_of_values = []
for idx, elem in enumerate(tag):
if not idx:
key = elem
else:
construct_list_of_values()
update_the_dictionary()
Actually, method 1 works fine and gives me my desired result; however, if I put that piece of codes in PyCharm, it warns me that "Local variable 'key' might be referenced before assignment" at the last line. Hence, I try another approach:
Method 2:
result = {tag[0]: tag[1:] for tag in list_of_tags}
Method 2 works fine if tags are lists, but I also want the code to work normally if tags are generators ('generator' object is not subscriptable will occur with method 2)
In order to work with generators, I come up with:
Method 3:
key_val_list = [(next(tag), list(tag)) for tag in list_of_tags]
result = dict(key_val_list)
Method 3 also works; but I cannot write this in dictionary comprehension ({next(tag): list(tag) for tag in list_of_tags} would give StopIteration exception because list(tag) will be evaluated first)
So, my question is, is there an elegant way for dealing with this pattern which could work no matter tags are lists or generators? (method 1 seems to work for both, but I don't know if I should ignore the warning PyCharms gives; the other two methods looks more concise, but one can only work on lists while the other can only work on generators)
Sorry for the long question, thanks for the patience!

I guess the reason why PyCharm is giving you a warning is that you are using key in update_the_dictionary, but key could be left unassigned if tag does not contain at least one element. You might have the knowledge that the title will always be in the list, but the static analyzer is not able to infer that from the context.
If you are using Python 3, you might want to try using PEP 3132 - Extended Iterable Unpacking. It should work for both lists and generators.
e.g.
title, *data = tag