Financial Web Data Extraction

Extract financial web data at scale through web data extraction

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.

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

Which financial data categories can be extracted

• Stock reports
• Stock names
• Stock symbol
• Bid prices
• SEC filings
• Market reports
• Company reports

Example output of financial data extraction

[
  {
{
  "...": "...",
  "AskPrice": 708.46,                # From `Ask`
  "BidPrice": 707.02,                # From `Bid`
  "CommPrUnit": 0.00203,             # 1 - `Bid` / `Ask`; rounded to 5 decimal places
  "CommPrUnitCur": "USD",            #
  "FeeID": "169",                    # Incremental identifier
  "FeeProfileID": "1",               # Incremental identifier
  "MinComm": 0,                      # Hard-coded at `0`
  "Spread": 0.00203,                 # 1 - `Bid` / `Ask`; rounded to 5 decimal places
  "StockName": "Tesla Motors, Inc.", #
  "StockSymbol": "TSLA"              # From `SymbolFull`
}
---
{
  "...": "...",
  "AskPrice": 707.82,                # From `AskDiscounted`
  "BidPrice": 707.66,                # From `BidDiscounted`
  "CommPrUnit": 0.00023,             # 1 - `BidDiscounted` / `AskDiscounted`; rounded to 5 decimal places
  "CommPrUnitCur": "USD",            #
  "FeeID": "169",                    # Incremental identifier
  "FeeProfileID": "2",               # Incremental identifier
  "MinComm": 0,                      # Hard-coded at `0`
  "Spread": 0.00023,                 # 1 - `BidDiscounted` / `AskDiscounted`; rounded to 5 decimal places
  "StockName": "Tesla Motors, Inc.", #
  "StockSymbol": "TSLA"              # From `SymbolFull`
}      "airline": "AK",
      "arrival_airport": "PDG",
      "arrival_city": "Ketaping/Padang-Sumatra Island",
      "arrival_continent": "AS",
      "arrival_country": "ID",
      "arrival_time": "2020-08-09T15:40",
      "departure_airport": "KUL",
      "departure_city": "Kuala Lumpur",
      "departure_continent": "AS",
      "departure_country": "MY",
      "departure_time": "2020-08-09T15:30",
      "fare_class": "Z",
      "fare_family": "Standard",
      "flight_number": "405"
    },
    "seatmap": {
      "carrier": "AK",
      "decks": [
        {
          "compartments": [
            {
              "seat_rows": [
                [
                  {
                    "bassinet": false,
                    "bookable_seat": true,
                    "columns": [
                      "D"
                    ],
                    "row": 9,
                    "seat_category_id": 3,
                    "type": "seat",
                    "width": 1,
                    "price_and_availability": [
                      {
                        "available": true,
                        "currency": "MYR",
                        "pax_id": 0,
                        "price": 10.9
                      },
                      {
                        "available": true,
                        "currency": "MYR",
                        "pax_id": 1,
                        "price": 10.9
                      }
                    ]
                  }
                ]
              ]
            }
          ],
          "wings": {
            "end_row": "9",
            "start_row": "1"
          }
        }
      ],
      "seat_categories": [
        {
          "display_name": "Hot Seat",
          "id": 1
        },
        {
          "display_name": "Standard Seat",
          "id": 3
        }
      ]
    }
  }
]