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News and Filings

News

get_news() returns up to 200 headlines, newest first. Without arguments it returns global news.

from tvscreener import get_news, get_article

df = get_news("NASDAQ:AAPL")
df = get_news("NASDAQ:AAPL", corp_activity="insider_trading")
df = get_news(provider="reuters", market="stock", country="US")
df = get_news(market="crypto", priority="important")
Filter Values
symbol Exchange-prefixed symbol
provider e.g. reuters, dow-jones, business_wire, tradingview, zacks, benzinga
market stock, etf, crypto, forex, index, futures, bond, corp_bond, economic
sector Stock sector, e.g. Finance
corp_activity ipo, earnings, earnings_calls, dividends, share_buybacks, strategy_business_products, mergers_and_acquisitions, management, insider_trading, ownership_changes, esg, recommendation (analyst ratings), credit_ratings
country ISO code of the market, e.g. US
priority flash, important, top_stories, key_facts
lang Language, default en

Filters are combined with AND, and each takes one value.

Columns: id, title, published (UTC), provider, related_symbols, story_path, urgency.

Article Text

get_article() returns the text of a story.

text = get_article(df["id"].iloc[0])           # news API (recommended)
text = get_article(df["story_path"].iloc[0])   # web page
  • Paragraphs are separated by blank lines.
  • Paywalled stories return their summary.

Filings and Transcripts

get_documents() lists a company's filings, reports and transcripts (provider: Quartr).

from tvscreener import get_documents, get_document

docs = get_documents("NASDAQ:AAPL")
docs = get_documents("NASDAQ:AAPL", category="call_transcript", start="2025-01-01")
docs = get_documents("NASDAQ:AAPL", category=["quarterly_report", "annual_report"])

text = get_document(docs["transcript_id"].iloc[0])     # full transcript, with speaker names
summary = get_document(docs["summary_id"].iloc[0])     # AI summary
Column Description
date Publication date (UTC)
category quarterly_report, annual_report, interim_report, earnings_release, call_transcript, event_transcript, slides
event earning or corporate_event
fiscal_year, fiscal_period, form e.g. 2026, Q3, 10-Q
transcript_id, summary_id Pass to get_document() for the text
pdf_id Id of the PDF report. get_document() cannot read PDFs

Earnings Calls

get_earnings_calls() lists past and scheduled earnings calls, with links to the live transcript and the recording.

from tvscreener import get_earnings_calls

calls = get_earnings_calls("NASDAQ:AAPL")                       # last year and next 90 days
calls = get_earnings_calls("NASDAQ:AAPL", start="2023-01-01")

Columns: date (UTC), title, fiscal_year, fiscal_period, state (scheduled, completed...), transcript_url (JSON lines), audio_url, audio_duration (seconds), id.

Third-party content

News stories, filings, transcripts and recordings belong to their providers and have their own licences.