Earnings Call Transcripts — SEC EDGAR 8-K Prepared Remarks

What does Earnings Call Transcript Extractor do?

The Earnings Call Transcript Extractor is an earnings call transcript scraper that pulls prepared remarks directly from SEC EDGAR 8-K filings — the same authoritative filings institutional investors read. Provide a list of stock tickers and a date range, and the actor returns structured, full-text transcripts for every matching filing. Because it reads from SEC EDGAR public data, no third-party subscription or API key is required.

Why use Earnings Call Transcript Extractor?

Institutional-grade earnings data at a fraction of the cost. The actor accesses the same SEC filing data that powers Wall Street research desks, without enterprise pricing:

• LLM sentiment analysis — pipe CEO and CFO remarks directly into GPT-4 or Claude to score guidance tone, extract forward-looking statements, and flag risk language automatically.
• Quant signal extraction — detect guidance raises/cuts, capex signals, hiring commentary, and margin language that drives event-driven trading strategies.
• Competitive intelligence — monitor rival company earnings calls in bulk to understand market positioning and product roadmap signals across an entire sector.
• Compliance and IR research — automate transcript archiving and earnings monitoring across a portfolio of dozens of holdings without manual downloads.
• NLP and ML training data — build large-scale quarterly earnings API datasets from hundreds of companies for financial language model fine-tuning.

Source	Monthly Cost	Coverage
This actor	~$0.50/run	All SEC-filing US companies
Seeking Alpha Premium	$239/month	Most US companies
Bloomberg Transcript Service	$2,000+/month	Global (enterprise only)
FactSet	Custom pricing	Global (enterprise only)

How to use Earnings Call Transcript Extractor

1. Open the actor on Apify and click Try for free.
2. Enter one or more stock tickers in the tickers field (e.g. ["AAPL", "MSFT", "NVDA"]).
3. Set dateFrom and dateTo to your desired earnings window (defaults to the past 90 days).
4. Optionally adjust maxPerCompany (default: 4) and outputFormat (full or summary).
5. Click Run — transcripts are returned in the dataset within seconds to a few minutes depending on batch size.
6. Export results as JSON, CSV, or connect downstream via the Apify API.

Input

Parameter	Type	Default	Description
tickers	string[]	required	Stock tickers, e.g. ["AAPL", "MSFT", "NVDA"]
dateFrom	string	90 days ago	Search from date (YYYY-MM-DD)
dateTo	string	today	Search up to date (YYYY-MM-DD)
maxPerCompany	integer	4	Max transcripts per company (1–20)
includeFullText	boolean	true	Include full transcript text in output
outputFormat	string	full	full = complete text; summary = prepared remarks only

Output

Each transcript is returned as a structured JSON record:

[
  {
    "ticker": "AAPL",
    "company_name": "Apple Inc.",
    "fiscal_quarter": "Q1 2026",
    "filing_date": "2026-01-30",
    "cik": "320193",
    "accession_number": "0000320193-26-000010",
    "sec_url": "https://www.sec.gov/Archives/edgar/data/320193/.../ex99-1.htm",
    "text_length": 42800,
    "word_count": 7100,
    "source": "SEC EDGAR 8-K",
    "transcript_text": "Apple Inc. Q1 FY2026 Earnings Call\n\nTim Cook - CEO:\nRevenue was $124.3 billion, up 4% year over year..."
  },
  {
    "_type": "summary",
    "total_transcripts": 8,
    "companies_covered": ["AAPL", "MSFT"],
    "date_from": "2025-11-01",
    "date_to": "2026-01-31",
    "run_at": "2026-01-31T14:22:00Z"
  }
]

Data fields

Field	Description
ticker	Stock exchange ticker symbol
company_name	Full legal company name from SEC records
fiscal_quarter	Estimated fiscal quarter (e.g. Q1 2026)
filing_date	Date the 8-K was filed with SEC EDGAR
cik	SEC Central Index Key — unique company identifier
accession_number	SEC EDGAR filing accession number
sec_url	Direct URL to the exhibit 99.1 transcript document
text_length	Character count of extracted transcript
word_count	Word count of extracted transcript
source	Always "SEC EDGAR 8-K"
transcript_text	Full prepared remarks text (when includeFullText is true)

Cost estimation

Scenario	Transcripts	Estimated Cost
Single company, last quarter	1	~$0.05
5 tickers, last quarter	5–10	$0.25–$0.50
20 tickers, full year	80	~$4.00
S&P 500 Q4 sweep	500	~$25.00

Pricing: $0.001 per run start + $0.05 per transcript returned.

Compare to Seeking Alpha Premium at $239/month — a single run covers a full portfolio for under $1.

FAQ

Does this cover Q&A sections of earnings calls? Coverage depends on what the company files as Exhibit 99.1 in their 8-K. Many companies file prepared remarks only; some include the full transcript with Q&A. The actor extracts whatever is filed — the output word_count field is a good indicator of whether Q&A is included.

How current is the data? The actor queries SEC EDGAR in real time, so transcripts typically appear within minutes to hours of the 8-K being filed. There is no caching delay — you always get the latest available filing.

Can I use this for automated trading signals? Yes — the actor is designed for event-driven strategies. Schedule it to run after market close on earnings days and pipe the output to your signal engine. All data is from official SEC public records, so there are no legal restrictions on use for trading research.

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Disclaimer: This actor retrieves publicly available data from SEC EDGAR under the SEC's public data policy. It is not affiliated with the SEC. Users are responsible for complying with applicable laws governing the use of financial data for trading or investment decisions.

Keywords: earnings call transcript scraper, SEC filing data, quarterly earnings API, SEC EDGAR 8-K, investor relations, LLM finance, sentiment analysis, quant signal, financial NLP, event-driven trading

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Feedback

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