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Overview

The Company Screener finds listed companies matching quantitative and classification criteria: market capitalization, share price, beta, trading volume, dividend per share, sector, industry, country, and exchange. Results are returned as both a CSV export and a structured data grid.

When to Use

The Company Screener is the right tool when the user describes criteria rather than naming companies:
  • “Find US technology companies worth more than $10bn”
  • “Which large-cap energy names pay a dividend?”
  • “Show me low-beta healthcare stocks trading under $50”
  • “List German industrials with high trading volume”
Use find_securities instead when the user already names the companies, and bigdata_company_tearsheet when they want depth on a single company already identified.

How It Works

The screener passes the requested filters directly to the underlying screening endpoint - no company lookup is needed, since results are discovered by criteria rather than resolved from a name or ticker. Every numeric filter (market cap, price, beta, volume, dividend) is a bound: passing only _more_than or only _lower_than applies one side and leaves the other open, and omitting both leaves the filter out of the screen entirely. Only companies with a matching Bigdata.com Knowledge Graph entity are returned, so a screen can return fewer rows than limit even when more listings satisfy the filters, and results are not ranked, so a limit smaller than the number of matches returns an arbitrary subset - tighten the filters rather than raise the limit when a screen is too broad. Three classification filters - sector, industry, and exchange - are each matched against a fixed list of known values, and an unrecognized value (a typo, the wrong case, or a code the screener doesn’t cover) is rejected with an error rather than silently ignored or matched to zero rows. country is different: any real ISO 3166-1 alpha-2 country code is accepted, even one the screener has no listed companies for - only a code that isn’t a real country is rejected.

Parameters

sector, industry, and exchange reject a value outside their known list rather than ignoring it or matching nothing; country rejects anything that isn’t a real ISO 3166-1 alpha-2 code, even one the screener has no listed companies for. If a screen comes back empty, check the value against the list before assuming there are no matching companies.

Data Returned

The response contains a CSV export of the matching companies plus a structured payload:
  • companies - one row per matching company:
    • rp_entity_id - the RavenPack entity id
    • symbol - ticker symbol
    • company_name - full company name
    • market_cap, price, last_annual_dividend - in the listing’s own trading currency
    • sector, industry
    • beta
    • volume - average daily share volume
    • exchange, exchange_short_name, country
    • is_etf, is_actively_trading
  • metadata - the echoed screen parameters
Market cap, price, and dividend per share are reported in each listing’s own trading currency and are not converted. The corresponding filters apply to that raw local-currency value, so a screen spanning several countries mixes currencies and its numbers aren’t directly comparable. Restrict the screen to one country or exchange when the comparison needs to be like-for-like.

Use Cases

Thematic Screening

Combine sector or industry with a market cap or price range to build a shortlist for a theme, e.g. “large-cap semiconductor companies” or “small-cap regional banks.”

Income Screening

Use dividend_more_than (with 0 to require a dividend at all) alongside beta_lower_than to find defensive income names.

Regional Screening

Use country or exchange to keep a screen within a single market and currency, e.g. “German industrials” or “companies listed on the LSE (XLON).”

Liquidity Filtering

Use volume_more_than to exclude illiquid listings before applying other criteria.