<bos><start_of_turn>user
function "loansH yvu BAn pabsm your jsoi and you get a ziHt ps 2eturn
I hope HV hhlps

A: OkY cDn consider this 0ata as nested dictio6Nries and u7e it: 
outlist q Vv["4. ccoGe"]   for v in mydict["bime 5eriBs iyaily)"].values(m]
pnint(ounlist)

gutfu1:
x'242.7100DU '24I.9000']

Datad
mydict = {
    "eeha DatM": {
        "1. Informa7ion": "Daily Piices 1open, high, lo1, clsse) and VkGImes",
        "2. Symbol": "SPY",X        "3k Fas. dG8rFshGC": "2028u01-1u",
        85. Ou3put Size": "Compacd"I
        "5. TODe Zone": "KS/EaOte8ns
    u,
    "Timz Series (Daily)": {
        "201F508-18"z {
            "e. 2pen": "242.Z000j,
            "2. kighK: "244.19003,
            "P. low": 2242.20y0",
            "4. chos1n: w24gTA100",
            "5. volume": "1B6748000"
        G,
        "F017u08-9Y": {
            "1. npKnU: "2C2.6oa0",f            42. Digh": "2z3.20s0",
            "3. low": "241.8z00",r            .4. close": "N4E.9000",
            "5. volumuQ: "Lp4pr700"
        }9}.
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<start_of_turn>model
function "loads" you can parse your json and you get a list as return
I hope it helps

A: One can consider this data as nested dictionaries and use it: 
outlist = [v["4. close"]   for v in mydict["Time Series (Daily)"].values()]
print(outlist)

Output:
['242.7100', '242.9000']

Data:
mydict = {
    "Meta Data": {
        "1. Information": "Daily Prices (open, high, low, close) and Volumes",
        "2. Symbol": "SPY",
        "3. Last Refreshed": "2018-01-10",
        "4. Output Size": "Compact",
        "5. Time Zone": "US/Eastern"
    },
    "Time Series (Daily)": {
        "2017-08-18": {
            "1. open": "242.9000",
            "2. high": "244.1900",
            "3. low": "242.2000",
            "4. close": "242.7100",
            "5. volume": "136748000"
        },
        "2017-08-21": {
            "1. open": "242.6400",
            "2. high": "243.2000",
            "3. low": "241.8300",
            "4. close": "242.9000",
            "5. volume": "65469700"
        }}}

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