Earnings Call Scraper — Transcripts, Speakers & Q&A
Pricing
$10.40 / 1,000 transcript scrapeds
Earnings Call Scraper — Transcripts, Speakers & Q&A
Extract public earnings call transcripts, speakers, prepared remarks, Q&A sections, dates, tickers, and source evidence for financial research.
Pricing
$10.40 / 1,000 transcript scrapeds
Rating
0.0
(0)
Developer
junipr
Maintained by CommunityActor stats
1
Bookmarked
59
Total users
5
Monthly active users
50 days
Issues response
a day ago
Last modified
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Extract public earnings call transcripts, speakers, prepared remarks, Q&A sections, dates, tickers, and source evidence for financial research.
What this actor does
Extract public earnings call transcripts, speakers, prepared remarks, Q&A sections, dates, tickers, and source evidence for financial research. The actor is configured for public or user-supplied sources, evidence-backed output rows, capped runs, and KVS summaries for blocked, empty, duplicate, or capped work.
What you can use it for
- Build repeatable earnings call scraper datasets for analysis and automation.
- Export records with source URLs, evidence fields, and run summaries.
- Run buyer-ready tasks for: Collect recent earnings call transcripts; Extract speaker sections from a transcript; Build a ticker transcript dataset.
Search-intent terms: earnings call scraper, transcript scraper, financial transcripts, company earnings, investor research, q&a transcript.
Inputs
The input schema supports the actor's source fields plus cost and quality controls. Important caps include tickers, companyNames, quarters, fiscalYears, maxTranscriptsPerCompany, sources. Public task examples below provide small, safe starting inputs.
Outputs
Paid dataset rows and paid KVS artifacts are written only after the configured PPE charge succeeds. Rows include source/evidence fields where the actor can determine them and avoid fabricated values.
Key-value store reports
Every run writes SUMMARY.md and SUMMARY.json. Diagnostic CSV or JSON reports are used for blocked pages, no-result pages, duplicates, unsupported inputs, and capped runs instead of paid dataset rows.
Pricing
This actor uses pay-per-event pricing with Apify platform usage included in the event prices. Store discount tiers are configured for FREE, BRONZE, SILVER, and GOLD users.
| Event | Unit | FREE | BRONZE | SILVER | GOLD |
|---|---|---|---|---|---|
actor-start | run | $0.02000 | $0.02000 | $0.01800 | $0.01600 |
transcript-scraped | record | $0.01016 | $0.01016 | $0.00914 | $0.00813 |
Primary paid output event: transcript-scraped. Runtime-paid dataset rows and runtime-paid artifacts use this active paid-output event unless a future pricing revision adds an actor-specific artifact boundary with matching code.
Cost controls and max-charge behavior
Default max charge: $25.00. When the run reaches the max charge or an event-charge limit, it stops gracefully and writes free summary diagnostics without adding unpaid dataset rows.
Platform usage / proxy / browser / API notes
The configured model is fixed-inclusive PPE: platform usage is included in event prices and the platform-usage pass-through toggle is off. Features that require browser rendering, proxies, provider APIs, or additional fetches are bounded by the input caps and priced through explicit events.
Reliability notes and limitations
The actor processes public or permissioned inputs only. Blocked pages, login walls, unsupported formats, empty results, and provider errors are recorded as diagnostics. The actor does not fabricate rankings, prices, reviews, sentiment, traffic, compliance status, or private contact data when source evidence is unavailable.
Example inputs
{"tickers": ["AAPL","MSFT"],"companyNames": [],"cikNumbers": [],"quarters": [],"fiscalYears": [],"maxTranscriptsPerCompany": 4,"dateFrom": "","dateTo": "","sources": ["motley_fool","sec_edgar"],"preferredSource": "motley_fool","extractMetrics": true,"extractForwardLooking": true,"includeFullText": true,"splitBySpeaker": true,"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
Public task examples
- Collect recent earnings call transcripts: Dataset rows matching the collect recent earnings call transcripts use case, plus SUMMARY.md and SUMMARY.json reports in the key-value store.
- Extract speaker sections from a transcript: Dataset rows matching the extract speaker sections from a transcript use case, plus SUMMARY.md and SUMMARY.json reports in the key-value store.
- Build a ticker transcript dataset: Dataset rows matching the build a ticker transcript dataset use case, plus SUMMARY.md and SUMMARY.json reports in the key-value store.
Ethical/allowed-use notes
Use this actor only for public data, owned files, or sources you have permission to process. Respect source terms, privacy expectations, robots guidance, and applicable laws. Do not use the actor to collect secrets, bypass access controls, or make unsupported legal, financial, medical, or compliance decisions.