Bloomberg Scraper

Features

• Bloomberg Data: Query publicly available market data from bloomberg.com.
• Retrieve Market Data: Gain access to concise financial market data for various securities.
• Fetch General Data: Directly obtain comprehensive general data for companies and securities.
• Efficient and Precise: Optimized for diverse data retrieval using either URLs or Bloomberg tickers.

What data can be extracted?

Category	Data
Security Info	name, type, id, longName, shortName, securityName
Market Prices	price, openPrice, prevClose, lowPrice, highPrice, lastPostSessionPrice, percentChange1Day, priceChange1Day
Trading Details	volume, dayRange, primaryExchange, marketStatus, issuedCurrency, previousClosingPriceOneTradingDayAgo
Company & Security Info	id, name, shortName, longName, type, companyDescription, companyIsPrivate, companyAddress, companyPhone, companyWebsite, mediaSecurityType, mediaSecuritySubtype, primaryExchange, parentTicker, ultimateParentTicker
Financial Details	marketCap, price, highPrice, lowPrice, openPrice, previousClosingPriceOneTradingDayAgo, priceChange1Day, percentChange1Day, averageVolume30Day, volume, earningsPerShare, priceEarningsRatio, priceToBookRatio, priceToSalesRatio, dividend, lastDividendReported, indicatedGrossDividendYield
Fund & Management Details	fundType, fundManager, coFundManager, currentManagementFee, expenseRatio, fundMarketingFee, fundObjective, fundAssetClassFocus, fundGeographicFocus
Fundamental & Index Data	fundamentalDataCurrency, averageDaysToMaturity, inceptionDate, indexDescription, indexSource, isOpen, netAssetValue, netAssetValueDate, percentPremium, percentPremium52WeekAverage, redemptionFee, score, totalAssets, totalAssetsDate, totalAssetsCurrency
Operational Data	numberOfEmployees, foundedYear, bbid, gicsIndustry, gicsSector, bicsIndustry, bicsSector, bicsSubIndustry
Market Activity	highPrice52Week, lowPrice52Week, marketStatus, totalReturn1Year, totalReturnYtd, lastUpdate, tradingDayClose
Earnings & Announcements	earningsAnnouncement, nextEarningsAnnouncement, nextEarningsPeriod, nextEarningsPeriodEnd, lastAnnouncementPeriod, periodicity, issuedCurrency
Stock Metrics	sharesOutstanding, priceMinDecimals, priceEarningsToGrowthAndDividendYieldRatio, shareClass, securityName

Depending on your data requirements, choose either the market or general data type. See example outputs here.

What is the input?

Input	Type	Explanation	Value
scrapeInput	array	List of either URLs or Bloomberg tickers used to scrape data	["AAPL:US", "https://www.bloomberg.com/quote/TSLA:US"]
dataType	string	Specifies the type of data to retrieve	market or general
dropNulls	boolean	Determines whether to exclude null values from output	false or true

Be aware that a specific format for Bloomberg tickers is required. See the supported format in the following section.

Bloomberg Ticker Input

• Supported Formats: [Stock T.]:[Exchange/Composite T.] AND [Stock T.] [Exchange/Composite T.] ["Equity"/""]
• Examples: AAPL:US, NFLX US, IBM US Equity

Input Example

1{
2    "scrapeInput": [
3        "AAPL:US",
4        "NFLX US",
5        "IBM US Equity",
6        "https://www.bloomberg.com/quote/TSLA:US"
7    ],
8    "dataType": "market",
9    "dropNulls": false
10}

Output Example

Data Type: Market

1{
2  "AAPL:US": [
3    {
4      "securityInfo": {
5        "name": "APPLE INC",
6        "type": "EQT",
7        "id": "AAPL:US",
8        "longName": "Apple Inc",
9        "shortName": "APPLE INC"
10      },
11      "marketPrices": {
12        "price": "164.76",
13        "openPrice": "166.21",
14        "prevClose": "167.04",
15        "lowPrice": 164.075,
16        "highPrice": 166.4,
17        "lastPostSessionPrice": 166.8,
18        "percentChange1Day": -1.36489999294281,
19        "priceChange1Day": -2.28
20      },
21      "tradingDetails": {
22        "volume": "43,190,086.00",
23        "dayRange": [
24          "164.08",
25          "166.40"
26        ],
27        "primaryExchange": "NASDAQ GS",
28        "marketStatus": "ACTV",
29        "issuedCurrency": "USD",
30        "previousClosingPriceOneTradingDayAgo": 167.04
31      }
32    }
33  ]
34}

Data Type: General

1{
2  "AAPL:US": [
3    {
4      "companyAndSecurityInfo": {
5        "id": "AAPL:US",
6        "name": "APPLE INC",
7        "shortName": "APPLE INC",
8        "longName": "Apple Inc",
9        "type": "EQT",
10        "companyDescription": "Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables and accessories, and sells a variety of related accessories. The Company also offers payment, digital content, cloud and advertising services. Apple Inc.'s customers are primarily in consumer, small & mid-sized business, education, enterprise and government markets worldwide.",
11        "companyIsPrivate": false,
12        "companyAddress": "1 Apple Park Way\nCupertino, CA 95014\nUnited States",
13        "companyPhone": "1-408-996-1010",
14        "companyWebsite": "www.apple.com",
15        "mediaSecurityType": "Company",
16        "mediaSecuritySubtype": "Public",
17        "primaryExchange": "NASDAQ GS",
18        "parentTicker": "AAPL US",
19        "ultimateParentTicker": "AAPL US"
20      },
21      "financialDetails": {
22        "marketCap": 2579411802240,
23        "price": 164.91,
24        "highPrice": 166.4,
25        "lowPrice": 164.075,
26        "openPrice": 166.21,
27        "previousClosingPriceOneTradingDayAgo": 167.04,
28        "priceChange1Day": -2.13,
29        "percentChange1Day": -1.2750999927520752,
30        "averageVolume30Day": 63900792,
31        "volume": 42802750,
32        "earningsPerShare": 6.42,
33        "priceEarningsRatio": 26.018690543011342,
34        "priceToBookRatio": 34.42872724573318,
35        "priceToSalesRatio": 6.69028351526801,
36        "dividend": 0.575505052780006,
37        "lastDividendReported": "0.24",
38        "indicatedGrossDividendYield": 0.575505052780006
39      },
40      "fundAndManagementDetails": {},
41      "fundamentalAndIndexData": {
42        "fundamentalDataCurrency": "USD",
43        "isOpen": true
44      },
45      "operationalData": {
46        "numberOfEmployees": 100000,
47        "foundedYear": "01/03/1977",
48        "bbid": "101695",
49        "gicsIndustry": 4520,
50        "gicsSector": 45,
51        "bicsIndustry": "Tech Hardware & Semiconductors",
52        "bicsSector": "Technology",
53        "bicsSubIndustry": "Technology Hardware"
54      },
55      "marketActivity": {
56        "highPrice52Week": 199.62,
57        "lowPrice52Week": 162.8,
58        "marketStatus": "ACTV",
59        "totalReturn1Year": -1.037312,
60        "totalReturnYtd": -14.15504,
61        "lastUpdate": "2024-04-19T18:50:00.000Z",
62        "tradingDayClose": "2024-04-19T20:30:00.000Z"
63      },
64      "earningsAndAnnouncements": {
65        "earningsAnnouncement": "2024-02-09",
66        "nextEarningsAnnouncement": "2024-05-02",
67        "nextEarningsPeriod": "Q2",
68        "nextEarningsPeriodEnd": "2024-04-01",
69        "lastAnnouncementPeriod": "2024:C1",
70        "periodicity": "Quarter",
71        "issuedCurrency": "USD"
72      },
73      "stockMetrics": {
74        "sharesOutstanding": 15441880000,
75        "priceMinDecimals": 2,
76        "priceEarningsToGrowthAndDividendYieldRatio": 2.2477369604501725
77      }
78    }
79  ]
80}

Cost of Usage

The Bloomberg Scraper incurs a charge of $2.00 for every 1,000 results obtained.
Each result counts as either market or general data scraped for a single input (URL or Bloomberg ticker).

Bloomberg Scraper API

The Apify API offers programmatic access to the capabilities of the Apify platform, specifically this Apify Actor.
It is designed with RESTful HTTP endpoints, enabling the management, scheduling, and operation of Apify Actors effectively.
For detailed guidance and additional functionalities, consult the Apify API reference documentation.

For implementation, you can view the example code for using the Bloomberg Scraper API here.

Track Progress

While the Actor is running, it will display updates about its progress.
Should there be any issues, the Actor will halt and enter a failure state, providing a clear explanation of the error encountered.

Compute Efficiency

The Actor is designed for high-speed performance, efficiently retrieving a large volume of data.