EarningsCall Python Library

The EarningsCall Python library provides convenient access to the EarningsCall API from applications written in the Python language. It includes a pre-defined set of classes for API resources that initialize themselves dynamically from API responses.

Requirements

• Python 3.8+

Installation

You don't need this source code unless you want to modify the package. If you just want to use the package, just run:

pip install --upgrade earningscall

Get Transcript for a Single Quarter

from earningscall import get_company

company = get_company("aapl")  # Lookup Apple, Inc by its ticker symbol, "AAPL"

transcript = company.get_transcript(year=2021, quarter=3)
print(f"{company} Q3 2021 Transcript Text: \"{transcript.text[:100]}...\"")

Output

Apple Inc. Q3 2021 Transcript Text: "Good day, and welcome to the Apple Q3 FY 2021 Earnings Conference Call. Today's call is being record..."

Get All Transcripts for a company

from datetime import datetime

from earningscall import get_company

company = get_company("aapl")  # Lookup Apple, Inc by its ticker symbol, "AAPL"

print(f"Getting all transcripts for: {company}..")
# Retrieve all earnings conference call events for a company, and iterate through each one
for event in company.events():
    if datetime.now().timestamp() < event.conference_date.timestamp():
        print(f"* {company.company_info.symbol} Q{event.quarter} {event.year} -- skipping, conference date in the future")
        continue
    transcript = company.get_transcript(event=event)  # Fetch the earnings call transcript for this event
    print(f"* Q{event.quarter} {event.year}")
    if transcript:
        print(f"  Transcript Text: \"{transcript.text[:100]}...\"")
    else:
        print(f"  No transcript found.")

Output

Getting all transcripts for: Apple Inc...
* Q4 2023
  Transcript Text: "Good day and welcome to the Apple Q4 Fiscal Year 2023 earnings conference call. Today's call is bein..."
* Q3 2023
  Transcript Text: "Good day and welcome to the Apple Q3 Fiscal Year 2023 earnings conference call. Today's call is bein..."
* Q2 2023
  Transcript Text: "At this time for opening remarks and introductions, I would like to turn the call over to Suhasini T..."
* Q1 2023

  ...

Get Text by Speaker

If you want to get the text by speaker, you can do so by setting the level parameter to 2.

NOTE: Level 2 data is provided in any plan that includes Enhanced Transcript Data.

from earningscall import get_company

company = get_company("aapl")  # Lookup Apple, Inc by its ticker symbol, "AAPL"

transcript = company.get_transcript(year=2021, quarter=3, level=2)

first_speaker = transcript.speakers[0]
speaker_label = first_speaker.speaker
text = first_speaker.text
print(f"Speaker: {speaker_label}\nText: {text}")

Output

Speaker: spk11
Text: Good day, and welcome to the Apple Q3 FY 2021 Earnings Conference Call. Today's call is being recorded. At this time, for opening remarks and introductions, I would like to turn the call over to Tejas Ghala, Director, Investor Relations and Corporate Finance. Please go ahead.

Get Text by Speaker with Speaker Name and Title

NOTE: This is a new experimental feature. It includes Speaker Names and Titles.

from earningscall import get_company

company = get_company("aapl")  # Lookup Apple, Inc by its ticker symbol, "AAPL"

transcript = company.get_transcript(year=2021, quarter=3, level=2)

speaker = transcript.speakers[1]  # Get second speaker
speaker_label = speaker.speaker_info.name
text = speaker.text
print("Speaker:")
print(f"  Name: {speaker.speaker_info.name}")
print(f"  Title: {speaker.speaker_info.title}")
print()
print(f"Text: {text}")

Output

Speaker:
  Name: Tejas Ghala
  Title: Director, Investor Relations and Corporate Finance

Text: Thank you. Good afternoon, and thank you for joining us. Speaking first today is Apple CEO Tim Cook, and he'll be followed by CFO Luca Maestri. After that, we'll open the call to questions from analysts. Please note that some of the information you'll hear during our discussion today will consist of forward-looking statements, including without limitation, those regarding revenue, gross margin, operating expenses, other income and expenses, taxes, capital allocation, and future business outlook, including the potential impact of COVID-19 on the company's business and results of operations. These statements involve risks and uncertainties that may cause actual results or trends to differ materially from our forecast. For more information, please refer to the risk factors discussed in Apple's most recently filed annual report on Form 10-K and the Form 8-K filed with the SEC today, along with the associated press release. Apple assumes no obligation to update any forward-looking statements or information which speak as of their respective dates. I'd like to now turn the call over to Tim for introductory remarks.

Get Word-Level Timestamps

If you want to get the word-level timestamps, you can do so by setting the level parameter to 3.

Each timestamp is the number of seconds since the start of the transcript.

NOTE: Level 3 data is provided in any plan that includes Enhanced Transcript Data.

from earningscall import get_company

company = get_company("aapl")  # Lookup Apple, Inc by its ticker symbol, "AAPL"

transcript = company.get_transcript(year=2021, quarter=3, level=3)

first_speaker = transcript.speakers[0]
words_and_start_times = list(zip(first_speaker.words, first_speaker.start_times))
print(f"Speaker: {first_speaker.speaker}")
print(f"Words with start times: {words_and_start_times}")

Output

Speaker: spk11
Words with start times: [('Good', 0.049), ('day,', 0.229), ('and', 0.489), ('welcome', 0.609), ('to', 0.929), ('the', 1.029), ('Apple', 1.229), ('Q3', 1.629), ('FY', 2.65), ('2021', 2.6599999999999997), ('Earnings', 3.81), ('Conference', 4.17), ('Call.', 4.55), ("Today's", 5.411), ('call', 5.811), ('is', 6.111), ('being', 6.271), ('recorded.', 6.471), ('At', 7.571), ('this', 7.671), ('time,', 7.871), ('for', 8.111), ('opening', 8.351), ('remarks', 8.631), ('and', 9.092), ('introductions,', 9.232), ('I', 9.832), ('would', 9.912), ('like', 10.052), ('to', 10.192), ('turn', 10.292), ('the', 10.492), ('call', 10.592), ('over', 10.872), ('to', 11.052), ('Tejas', 11.152), ('Ghala,', 11.532), ('Director,', 12.112), ('Investor', 12.533), ('Relations', 12.873), ('and', 13.353), ('Corporate', 13.473), ('Finance.', 13.773), ('Please', 14.413), ('go', 14.653), ('ahead.', 14.793)]

Get Prepared Remarks and Q&A for a Single Quarter

If you want to get the prepared remarks and Q&A for a single quarter, you can do so by setting the level parameter to 4.

NOTE: Level 4 data is provided in any plan that includes Enhanced Transcript Data.

from earningscall import get_company

company = get_company("aapl")  # Lookup Apple, Inc by its ticker symbol, "AAPL"

transcript = company.get_transcript(year=2021, quarter=3, level=4)
print(f"{company} Q3 2021 Prepared Remarks: \"{transcript.prepared_remarks[:100]}...\"")
print(f"{company} Q3 2021 Q&A: \"{transcript.questions_and_answers[:100]}...\"")

Output

Apple Inc. Q3 2021 Prepared Remarks: "Good day, and welcome to the Apple Q3 FY 2021 Earnings Conference Call. Today's call is being record..."
Apple Inc. Q3 2021 Q&A: "Our first question comes from Katie Huberty from Morgan Stanley. Please go ahead. Hello, Katie. Your..."

Download Audio File

If you want to download the audio file for a single quarter, you can call the download_audio_file function.

from earningscall import get_company

company = get_company("aapl")  # Lookup Apple, Inc by its ticker symbol, "AAPL"

print("Downloading audio file for Apple Inc. Q3 2021...")
audio_file = company.download_audio_file(year=2021, quarter=3, file_name="Apple-Q3-2021.mp3")
print(f"Downloaded audio file to: {audio_file}")

Download Slide Deck

from earningscall import get_company

company = get_company("MSFT")  # Lookup Microsoft by its ticker symbol, "MSFT"

slide_deck_filename = company.download_slide_deck(year=2025, quarter=1, file_name="Microsoft-Q1-2025-Slides.pdf")
print(f"Downloaded slide deck to: {slide_deck_filename}")

Get Earnings Event Calendar

from datetime import date

from earningscall import get_calendar

calendar = get_calendar(date(2025, 1, 10))

for event in calendar:
    print(f"{event.company_name} - Q{event.quarter} {event.year} on: {event.conference_date.astimezone().isoformat()} Transcript Ready: {event.transcript_ready}")

Output

Tilray Brands, Inc. - Q2 2025 on: 2025-01-10T07:30:00-06:00 Transcript Ready: True
Walgreens Boots Alliance, Inc. - Q1 2025 on: 2025-01-10T07:30:00-06:00 Transcript Ready: True
Neogen Corporation - Q2 2025 on: 2025-01-10T07:30:00-06:00 Transcript Ready: True
E2open Parent Holdings, Inc. - Q3 2025 on: 2025-01-10T07:30:00-06:00 Transcript Ready: True
TD SYNNEX Corporation - Q4 2024 on: 2025-01-10T08:00:00-06:00 Transcript Ready: True
Delta Air Lines, Inc. - Q4 2024 on: 2025-01-10T09:00:00-06:00 Transcript Ready: True
Constellation Brands, Inc. - Q3 2025 on: 2025-01-10T09:30:00-06:00 Transcript Ready: True
PriceSmart, Inc. - Q1 2025 on: 2025-01-10T11:00:00-06:00 Transcript Ready: True
KORU Medical Systems, Inc. - Q4 2024 on: 2025-01-10T15:30:00-06:00 Transcript Ready: True
WD-40 Company - Q1 2025 on: 2025-01-10T16:00:00-06:00 Transcript Ready: True

List All Companies

from earningscall import get_all_companies

for company in get_all_companies():
    print(f"{company.company_info} -- {company.company_info.sector} -- {company.company_info.industry}")

By default, this library grants you access to only two companies, Apple Inc. and Microsoft, Inc.

To gain access to 5,000+ companies please signup here to get your API key.

Once you have access to your API key, you can set the API Key like this:

import earningscall

earningscall.api_key = "YOUR-SECRET-API-KEY-GOES-HERE"

Alternatively, you can pass in your API key as an environment variable:

export EARNINGSCALL_API_KEY="YOUR-SECRET-API-KEY-GOES-HERE"
python your-python-script.py

List S&P 500 Companies

from earningscall import get_sp500_companies

for company in get_sp500_companies():
    print(f"{company.company_info} -- {company.company_info.sector} -- {company.company_info.industry}")

Advanced

Disable Caching

When you call get_company("aapl") to retrieve a company, internally the library retrieves metadata from the EarningsCall API. By default, it caches this metadata on disk in order to speed up subsequent requests.

If you prefer to disable this local caching behavior, you can do so with this code:

import earningscall

earningscall.enable_requests_cache = False

Retry Strategy

The library implements a flexible retry strategy to handle rate limiting and HTTP 5xx errors effectively. By default, it retries with increasing delays: 3 seconds, 6 seconds, 12 seconds, 24 seconds, and finally 48 seconds. If the request fails after five attempts, the library raises an exception.

Customizing the Retry Strategy

Depending on your specific requirements, you can adjust the retry strategy. For latency-sensitive applications, consider reducing the base delay and limiting the number of retry attempts. Conversely, for plans with lower rate limits, such as the "Starter" plan, a higher base delay with more retry attempts can improve reliability. For higher-rate-limit plans, such as "Enterprise," a shorter delay and fewer attempts may be more appropriate.

To customize the retry behavior, set the retry_strategy variable with the desired parameters:

• strategy: "exponential" | "linear" — defines the type of retry strategy (default is "exponential").
• base_delay: float (in seconds) — specifies the delay between retries (default is 1 seconds).
• max_attempts: int — sets the maximum number of total request attempts (default is 10).

Default Retry Strategy

Below is the default retry configuration:

import earningscall

earningscall.retry_strategy = {
    "strategy": "exponential",
    "base_delay": 1,
    "max_attempts": 10,
}

Disabling Retries

To disable retries entirely and limit the request to a single attempt, set max_attempts to 1:

import earningscall

earningscall.retry_strategy = {
    "strategy": "exponential",
    "base_delay": 1,
    "max_attempts": 1,
}

Linear Retry Strategy

You can switch to a linear retry strategy by setting the strategy parameter to "linear":

import earningscall

earningscall.retry_strategy = {
    "strategy": "linear",
    "base_delay": 1,
    "max_attempts": 3,
}