Earnings Call Transcripts Scraper & API — LLM-ready JSON

Get full earnings call transcripts as clean, structured JSON: ticker, exchange, fiscal quarter, call date, participants, and every speaker turn tagged as prepared remarks or Q&A. Use this earnings transcripts scraper as an affordable earnings call transcript API for research, quant models and LLM / RAG financial data pipelines. No API key, no login, no monthly subscription.

What is Earnings Call Transcripts Scraper?

Earnings Call Transcripts Scraper collects conference call transcripts published by The Motley Fool (fool.com) and turns them into structured data. Filter by stock ticker and publication date, or paste transcript URLs directly.

• No API key, no login, no browser — it reads publicly accessible transcript pages.
• Alternative to paid transcript APIs — pay per transcript instead of a $50+/month subscription.
• Speaker-segmented — each turn becomes { speaker, role, section, text }; multi-paragraph answers stay together and speaker labels are stripped from the text.
• Prepared remarks vs Q&A — analyse management's script separately from analyst questions.
• Roles — executives get their title from the "Call participants" list (last-name matching handles "Ed" vs "Edward"), the moderator is Operator, sell-side questioners are Analyst (older transcripts include the firm, e.g. Barclays -- Analyst).
• Robust — retries with exponential backoff on rate limits and server errors, scrapes 3 pages in parallel, and a failed page becomes an error record instead of crashing the run.
• Export anywhere — download results as JSON, CSV, Excel, HTML, XML or JSONL, or read them through the Apify API.

What data can I extract with Earnings Call Transcripts Scraper?

Field	Description
ticker	Stock ticker, e.g. COST
exchange	Listing exchange (NYSE, NASDAQ, …)
company	Company name
fiscalQuarter / fiscalYear	Company's fiscal period from the title, e.g. Q4 / 2026
callDate	Date the earnings call took place
publishedAt	When the transcript was published
title / url	Transcript title and source URL
participants	Call participants with their roles (CEO, CFO, IR…)
segments	Every speaker turn: speaker, role, section (prepared / qa), text
fullText	Whole transcript as one string (Speaker: text per turn)
segmentCount / wordCount	Number of speaker turns and words
scrapedAt	When the item was scraped

How can I use earnings call transcript data?

• RAG / LLM pipelines — chunk by speaker turn and keep metadata (ticker, quarter, section) for filtering and citations.
• Sentiment & tone analysis — compare management's prepared tone with how they answer analysts in Q&A.
• Quant research — build features from mentions of guidance, pricing, tariffs, AI, layoffs… across hundreds of calls.
• Competitive intelligence — track what peers say about a market every quarter.
• Investor research — read or summarise every call in your portfolio as soon as it's published.

How to get earnings call transcripts

1. Click Try for free to open the Actor in Apify Console (sign up free if needed).
2. Enter tickers (or leave empty for all companies) and a date range, or paste transcript URLs.
3. Choose Max transcripts and an Output format.
4. Click Start and wait for the run to finish.
5. Open the Output tab and download the dataset as JSON, CSV, Excel or HTML.

How much does it cost?

The Actor uses pay-per-event pricing — you only pay for transcripts delivered:

Event	Price
Actor start	$0.005 per run
transcript-result	$0.01 per transcript ($10 per 1,000 transcripts)

Example: 1 run × 100 transcripts = $0.005 + $1.00 = $1.005.

The Apify free plan includes $5 of monthly credit, enough for about 499 transcripts in a single run each month. Error items are free. Set a maximum cost per run and the Actor stops cleanly once it's reached.

⬇️ Input

Field	Type	Default	Description
tickers	list of strings	empty (all)	Only these tickers, e.g. ORCL, COST
dateFrom	YYYY-MM-DD	30 days ago	Earliest transcript publish date
dateTo	YYYY-MM-DD	today	Latest transcript publish date (inclusive)
maxItems	integer	50	Max transcripts, newest first. 0 = no limit
outputFormat	both | segments | fullText	both	Which text fields to include
startUrls	list of URLs	empty	Scrape these fool.com transcript pages directly (ticker and date filters ignored)

{
  "tickers": ["ORCL", "ADBE", "AVGO", "COST", "LULU"],
  "dateFrom": "2026-09-01",
  "dateTo": "2026-09-30",
  "maxItems": 10,
  "outputFormat": "both"
}

Leave tickers empty to get every transcript published in the window (often 150–300 per month during earnings season).

⬆️ Output

One item per transcript (segments and fullText shortened here):

{
  "ticker": "COST",
  "exchange": "NASDAQ",
  "company": "Costco",
  "fiscalQuarter": "Q4",
  "fiscalYear": 2026,
  "callDate": "2026-09-24",
  "publishedAt": "2026-09-29T06:54:36Z",
  "url": "https://www.fool.com/earnings/call-transcripts/2026/09/29/costco-cost-q4-2026-earnings-call-transcript/",
  "title": "Costco (COST) Q4 2026 Earnings Call Transcript",
  "participants": [
    { "name": "Gary Millerchip", "role": "Chief Financial Officer" },
    { "name": "Ron Vachris", "role": "Chief Executive Officer" }
  ],
  "wordCount": 10190,
  "segments": [
    { "speaker": "Operator", "role": "Operator", "section": "prepared", "text": "Ladies and gentlemen, thank you for standing by. My name is Abby, and I will be your conference operator today…" },
    { "speaker": "Gary Millerchip", "role": "Chief Financial Officer", "section": "prepared", "text": "Good afternoon, everyone, and thank you for joining us for Costco's Fourth Quarter 2026 Earnings Call…" },
    { "speaker": "Operator", "role": "Operator", "section": "qa", "text": "[Operator Instructions] And our first question comes from the line of Michael Lasser with UBS." },
    { "speaker": "Michael Lasser", "role": "Analyst", "section": "qa", "text": "So it sounds like given the tariff refund, you have invested about $100 million into price…" }
  ],
  "fullText": "Operator: Ladies and gentlemen, thank you for standing by…\n\nGary Millerchip: Good afternoon, everyone…",
  "segmentCount": 48,
  "scrapedAt": "2026-10-01T01:37:15.350Z"
}

• fiscalQuarter / fiscalYear are the company's fiscal period as stated in the title (e.g. Oracle's September call is Q1 2027).
• callDate is the date the call took place; publishedAt is when the transcript was published.
• role can be null when a speaker isn't in the participants list and spoke outside Q&A.
• The Transcripts table view in Apify Console shows ticker, exchange, company, quarter, fiscal year, call date, speaker turns, words, title and URL.

Error items

{ "url": "https://www.fool.com/earnings/call-transcripts/2026/01/01/nope-xyz-q1-2026-earnings-call-transcript/", "errorType": "NOT_FOUND", "error": "Transcript page not found (HTTP 404)", "scrapedAt": "2026-10-01T01:37:15.350Z" }

errorType is NOT_FOUND, NO_TRANSCRIPT, INVALID_URL or FETCH_FAILED. Error items are never charged.

Integrations and API

Run the Actor and fetch transcripts programmatically with the Apify API, using the Actor ID istmobot/earnings-call-transcripts-scraper.

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("istmobot/earnings-call-transcripts-scraper").call(run_input={
    "tickers": ["ORCL", "COST"],
    "dateFrom": "2026-09-01",
    "maxItems": 10,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("ticker"), item.get("fiscalQuarter"), item.get("wordCount"))

Node.js (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('istmobot/earnings-call-transcripts-scraper').call({
    tickers: ['ORCL', 'COST'],
    dateFrom: '2026-09-01',
    maxItems: 10,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

• Schedules — run daily or weekly to collect new earnings calls automatically.
• Webhooks — trigger your own endpoint when a run finishes.
• Make, Zapier, n8n — connect transcripts to Google Sheets, Slack, databases and more.
• LangChain / LlamaIndex — load the dataset into a vector store for RAG over earnings calls; segments are natural chunks.
• AI agents — use it from Claude, ChatGPT and other agents via the Apify MCP server.

FAQ

Which companies are covered? Only calls whose transcripts are published by The Motley Fool: thousands of US-listed companies per quarter, including most large and mid caps, plus many small caps and ADRs. If a call isn't published there, this Actor can't return it.

How far back does it go? Transcripts go back several years. Older transcripts use a slightly different page layout; both layouts are supported.

How fast are new calls available? Typically within 1–3 days of the call.

Can I schedule it? Yes. Schedule the Actor daily with dateFrom left empty (last 30 days) and a ticker list to collect new calls as they appear.

How fast is it? Are there limits? It fetches 3 transcript pages in parallel. maxItems (default 50, 0 = no limit) caps the number of transcripts, and a maximum cost per run stops the run cleanly.

Why did a ticker return nothing? Either no call was published in the date range, or the source didn't cover it. Widen the range (e.g. the last 100 days covers one full quarter).

How is Q&A detected? By the transcript's "Questions & Answers" heading where present, otherwise from the operator's first question-queue announcement ("Your first question comes from…").

Is it accurate? The text is the source's transcript verbatim. Segmentation and roles are derived automatically and are accurate on the vast majority of calls, but unusual formats (e.g. no operator, webcast-only events) may put everything in prepared.

Is it legal to scrape earnings call transcripts? This Actor only reads publicly accessible pages; it does not log in or bypass any access controls. However, transcripts are copyrighted by their publishers — you are responsible for making sure your use of the data (storage, redistribution, model training, commercial use) complies with the source's terms and applicable law. If in doubt, consult a lawyer. Intended for personal research and analysis.

Is this an official Motley Fool API? No. This is an unofficial tool and is not affiliated with, endorsed by, or sponsored by The Motley Fool or any company whose calls are transcribed.

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