FINANCIAL WEB DATA EXTRACTION

Extract financial web data at scale through web data extraction

What can you use web scraped financial data for?

Use financial web data extraction to get clean, valuable financial web data such as stock reports, equity research, SEC filings, performance reports, financial market sentiment analysis, real estate market analysis fast and without the technical hassle. You tell us where it is online and our team of experts can get you the data, exactly how you want it.

How to scrape financial data using Zyte

With our high-quality financial web data feeds, you can get access to structured financial data from one or multiple websites across the web, so you can scale your project. Hundreds of organizations are already incorporating financial data and alternative data for finance into their workflows to inform investment decision-making processes and drive growth.

Zyte Data supports a comprehensive list of metadata types and we have a QA process perfected for 10+ years to deliver high-quality flight web data.

More data types we offer...

News & articles Product data Real estate Organisation Product reviews Restaurant Music Jobs Flight Movie Vehicles Medical drug Forum Comments Social Media

The best way to collect web data

We probably already extract data from your target website and can offer the data you need in a standardized schema that will make your life easier and save you time and money.

Zyte Data

The ultimate web scraping API, designed to automatically avoid bans in the most cost-effective way possible saving you time and money at every stage of your project.

Zyte API

Your Data Extraction Partner

Our web scraping team of experts can provide services to suit any size of business, from twinkly startups to Fortune 100’s.

1[
2  {
3{
4  "...": "...",
5  "AskPrice": 708.46,                # From `Ask`
6  "BidPrice": 707.02,                # From `Bid`
7  "CommPrUnit": 0.00203,             # 1 - `Bid` / `Ask`; rounded to 5 decimal places
8  "CommPrUnitCur": "USD",            #
9  "FeeID": "169",                    # Incremental identifier
10  "FeeProfileID": "1",               # Incremental identifier
11  "MinComm": 0,                      # Hard-coded at `0`
12  "Spread": 0.00203,                 # 1 - `Bid` / `Ask`; rounded to 5 decimal places
13  "StockName": "Tesla Motors, Inc.", #
14  "StockSymbol": "TSLA"              # From `SymbolFull`
15}
16---
17{
18  "...": "...",
19  "AskPrice": 707.82,                # From `AskDiscounted`
20  "BidPrice": 707.66,                # From `BidDiscounted`
21  "CommPrUnit": 0.00023,             # 1 - `BidDiscounted` / `AskDiscounted`; rounded to 5 decimal places
22  "CommPrUnitCur": "USD",            #
23  "FeeID": "169",                    # Incremental identifier
24  "FeeProfileID": "2",               # Incremental identifier
25  "MinComm": 0,                      # Hard-coded at `0`
26  "Spread": 0.00023,                 # 1 - `BidDiscounted` / `AskDiscounted`; rounded to 5 decimal places
27  "StockName": "Tesla Motors, Inc.", #
28  "StockSymbol": "TSLA"              # From `SymbolFull`
29}      "airline": "AK",
30      "arrival_airport": "PDG",
31      "arrival_city": "Ketaping/Padang-Sumatra Island",
32      "arrival_continent": "AS",
33      "arrival_country": "ID",
34      "arrival_time": "2020-08-09T15:40",
35      "departure_airport": "KUL",
36      "departure_city": "Kuala Lumpur",
37      "departure_continent": "AS",
38      "departure_country": "MY",
39      "departure_time": "2020-08-09T15:30",
40      "fare_class": "Z",
41      "fare_family": "Standard",
42      "flight_number": "405"
43    },
44    "seatmap": {
45      "carrier": "AK",
46      "decks": [
47        {
48          "compartments": [
49            {
50              "seat_rows": [
51                [
52                  {
53                    "bassinet": false,
54                    "bookable_seat": true,
55                    "columns": [
56                      "D"
57                    ],
58                    "row": 9,
59                    "seat_category_id": 3,
60                    "type": "seat",
61                    "width": 1,
62                    "price_and_availability": [
63                      {
64                        "available": true,
65                        "currency": "MYR",
66                        "pax_id": 0,
67                        "price": 10.9
68                      },
69                      {
70                        "available": true,
71                        "currency": "MYR",
72                        "pax_id": 1,
73                        "price": 10.9
74                      }
75                    ]
76                  }
77                ]
78              ]
79            }
80          ],
81          "wings": {
82            "end_row": "9",
83            "start_row": "1"
84          }
85        }
86      ],
87      "seat_categories": [
88        {
89          "display_name": "Hot Seat",
90          "id": 1
91        },
92        {
93          "display_name": "Standard Seat",
94          "id": 3
95        }
96      ]
97    }
98  }
99]