1from apify_client import ApifyClient
2
3
4
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7
8run_input = {
9 "tickers": [
10 "AAPL",
11 "MSFT",
12 "NVDA",
13 "GOOGL",
14 "AMZN",
15 "META",
16 "TSLA",
17 "BRK-B",
18 "AVGO",
19 "LLY",
20 "JPM",
21 "V",
22 "WMT",
23 "XOM",
24 "MA",
25 "UNH",
26 "ORCL",
27 "COST",
28 "HD",
29 "PG",
30 "NFLX",
31 "JNJ",
32 "BAC",
33 "ABBV",
34 "CRM",
35 "KO",
36 "CVX",
37 "MRK",
38 "AMD",
39 "PEP",
40 "TMO",
41 "LIN",
42 "CSCO",
43 "ACN",
44 "ADBE",
45 "WFC",
46 "MCD",
47 "IBM",
48 "ABT",
49 "GE",
50 "PM",
51 "AXP",
52 "MS",
53 "TXN",
54 "ISRG",
55 "QCOM",
56 "INTU",
57 "NOW",
58 "CAT",
59 "AMGN",
60 "GS",
61 "DIS",
62 "UBER",
63 "PFE",
64 "BKNG",
65 ],
66 "mode": "quotes_and_sec",
67 "includeSecFilings": True,
68 "secFormsFilter": [
69 "10-K",
70 "10-Q",
71 "8-K",
72 "D",
73 ],
74 "secSearchQuery": "",
75 "historyRange": "1mo",
76 "onlyNew": False,
77 "maxItems": 55,
78}
79
80
81run = client.actor("informed_almandine_vzb/yahoo-finance-sec-edgar-scraper").call(run_input=run_input)
82
83
84print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
85for item in client.dataset(run.default_dataset_id).iterate_items():
86 print(item)
87
88
