# Lex Fridman Podcast Transcript Scraper โ€” Speakers & Chapters (`scrapersdelight/lexfridman-transcript-scraper`) Actor Extract full, speaker-attributed, timestamped transcripts of the Lex Fridman Podcast โ€” no login, no ASR. By episode URL or crawl every episode: transcript text, {speaker, time, text} segments, chapters, guest & episode number. $2 per 1,000 episodes. - **URL**: https://apify.com/scrapersdelight/lexfridman-transcript-scraper.md - **Developed by:** [Scrapers Delight](https://apify.com/scrapersdelight) (community) - **Categories:** Videos, AI, Automation - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 per record returneds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## ๐ŸŽ™๏ธ Lex Fridman Podcast Transcript Scraper **Get full, speaker-attributed, timestamped transcripts of the Lex Fridman Podcast โ€” no login, no AI transcription. The show publishes a complete transcript for every episode, and this actor reads it: clean text, `{speaker, time, text}` segments, chapter list, guest, and episode number. Scrape one episode, a list, or crawl the entire archive.** Because the transcript is already published, there's no speech-to-text compute โ€” it's fast and cheap. --- ### What does it do? For each episode (by URL or via a full-archive crawl) it returns: - ๐Ÿ“ **Full transcript** (plain text) โ€” always included - โฒ๏ธ **Timestamped segments** โ€” `{speaker, start, text}` (great for clipping/quoting) - ๐Ÿ“‘ **Chapters**, ๐ŸŽค **guest**, ๐Ÿ”ข **episode number** No ASR, no API key โ€” it reads the published transcript. --- ### What data does it extract? For every episode: `url`, `episode_number`, `guest`, `episode_title`, `chapters[]`, `transcript`, `segments[]`, `segment_count`, `is_new` (monitor), `scraped_at`. --- ### Who is it for? - โœ๏ธ **Writers, researchers & students** quoting and searching long-form interviews. - ๐Ÿค– **AI / RAG builders** โ€” these are dense, high-quality conversation transcripts, ideal training/retrieval data. - โœ‚๏ธ **Clippers & newsletter writers** pulling timestamped quotes. --- ### How to use it (step by step) 1. Click **Try for free**. 2. Paste an **episode transcript URL** (`https://lexfridman.com/{guest}-transcript`) โ€” or enable **Crawl all** for the full archive. 3. *(Optional)* add `segments` to the formats. 4. Click **Start**, open the **Dataset** tab to view/export. 5. *(Optional)* set **Crawl all** + **monitorMode** + a **Schedule** to grab each new episode automatically. #### Quick start ```json { "episodeUrls": ["https://lexfridman.com/jensen-huang-transcript"], "transcriptFormats": ["txt", "segments"] } ```` *** ### Input | Field | What it does | |-------|--------------| | `episodeUrls` | transcript URLs or `{guest}` slugs | | `crawlAll` | crawl the whole podcast archive | | `transcriptFormats` | `txt` ยท `segments` | | `maxEpisodes` | hard cap per run (0 = all) | | `monitorMode`, `alertOnNewEpisode` | recurring new-episode watcher + alerts | | `webhookUrl`, `slackWebhookUrl`, `emailRecipients` | alert channels | | `proxyConfiguration`, `requestConcurrency` | proxy + parallelism | *** ### Output Each episode is one dataset record (fields above). Export to **JSON, CSV, Excel, HTML, or RSS**, or fetch via the **Apify API**. *** ### How much does it cost? Pay-per-event โ€” and with **no transcription compute**, it's cheap: | Event | What it covers | Suggested price | |-------|----------------|-----------------| | `lot-scraped` | each episode returned | ~$0.005 / episode | | `lot-detail-enriched` | each transcript fetched | ~$0.005 / episode | | `monitor-run-completed` | each scheduled watch run | ~$0.05 / run | | `new-lot-detected` | each new episode | ~$0.02 / episode | | `alert-delivered` | each Slack/email/webhook push | ~$0.005 / alert | *(Final per-event prices are set on the actor's pricing page.)* *** ### Is it legal to scrape these transcripts? This actor reads **publicly published** transcripts on lexfridman.com. The content is the creator's (copyrighted). Scraping public pages is generally legal, but **you are responsible for your use โ€” review the site's terms and respect the creator's rights; don't redistribute transcripts you're not licensed to.** *** ### FAQ **Is there a Whisper/ASR step?** No โ€” it reads the published transcript, so it's fast and cheap. **Can I get the whole back catalog?** Yes โ€” enable **Crawl all** to scrape every episode linked from the podcast page. **Do I get speaker labels and timestamps?** Yes โ€” add `segments` for `{speaker, start, text}` per line. **How do I export?** JSON, CSV, Excel, HTML, or RSS from the Dataset tab, or via the Apify API. *** ### Feedback Want chapter-aligned segments or per-guest filtering? Open an issue on the actor. # Actor input Schema ## `episodeUrls` (type: `array`): Lex Fridman transcript URLs (https://lexfridman.com/{guest}-transcript) or just the {guest} slug. Leave empty and enable 'Crawl all' to get every episode. ## `crawlAll` (type: `boolean`): Crawl lexfridman.com/podcast and transcribe every episode found. ## `transcriptFormats` (type: `array`): Plain text is always included; add timestamped segments. ## `maxEpisodes` (type: `integer`): Hard cap per run (0 = all). ## `monitorMode` (type: `boolean`): Recurring watcher with 'Crawl all': output/alert ONLY new episodes. Pair with a Schedule. ## `alertOnNewEpisode` (type: `boolean`): In monitor mode, alert for each new episode. ## `webhookUrl` (type: `string`): POST endpoint for new-episode alerts. ## `slackWebhookUrl` (type: `string`): Slack incoming-webhook URL. ## `emailRecipients` (type: `array`): Emails for the digest (via apify/send-mail). ## `proxyConfiguration` (type: `object`): Proxy settings. Datacenter rotation is plenty. ## `requestConcurrency` (type: `integer`): Max parallel episode fetches. ## `diagnose` (type: `boolean`): Dev only. Logs the parsed first episode, then exits. ## Actor input object example ```json { "episodeUrls": [ "https://lexfridman.com/jensen-huang-transcript" ], "crawlAll": false, "transcriptFormats": [ "txt" ], "maxEpisodes": 0, "monitorMode": false, "alertOnNewEpisode": true, "proxyConfiguration": { "useApifyProxy": true }, "requestConcurrency": 4, "diagnose": false } ``` # Actor output Schema ## `transcripts` (type: `string`): The dataset of episode transcripts (one item per episode). # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "episodeUrls": [ "https://lexfridman.com/jensen-huang-transcript" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapersdelight/lexfridman-transcript-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "episodeUrls": ["https://lexfridman.com/jensen-huang-transcript"] } # Run the Actor and wait for it to finish run = client.actor("scrapersdelight/lexfridman-transcript-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "episodeUrls": [ "https://lexfridman.com/jensen-huang-transcript" ] }' | apify call scrapersdelight/lexfridman-transcript-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapersdelight/lexfridman-transcript-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Lex Fridman Podcast Transcript Scraper โ€” Speakers & Chapters", "description": "Extract full, speaker-attributed, timestamped transcripts of the Lex Fridman Podcast โ€” no login, no ASR. By episode URL or crawl every episode: transcript text, {speaker, time, text} segments, chapters, guest & episode number. $2 per 1,000 episodes.", "version": "0.1", "x-build-id": "tnm8LiwS8YP4qD45v" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapersdelight~lexfridman-transcript-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapersdelight-lexfridman-transcript-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapersdelight~lexfridman-transcript-scraper/runs": { "post": { "operationId": "runs-sync-scrapersdelight-lexfridman-transcript-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapersdelight~lexfridman-transcript-scraper/run-sync": { "post": { "operationId": "run-sync-scrapersdelight-lexfridman-transcript-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "episodeUrls": { "title": "Episode transcript URLs", "type": "array", "description": "Lex Fridman transcript URLs (https://lexfridman.com/{guest}-transcript) or just the {guest} slug. Leave empty and enable 'Crawl all' to get every episode.", "items": { "type": "string" } }, "crawlAll": { "title": "Crawl all episodes", "type": "boolean", "description": "Crawl lexfridman.com/podcast and transcribe every episode found.", "default": false }, "transcriptFormats": { "title": "Transcript formats", "type": "array", "description": "Plain text is always included; add timestamped segments.", "items": { "type": "string", "enum": [ "txt", "segments" ], "enumTitles": [ "Plain text", "Timestamped segments (speaker, time, text)" ] }, "default": [ "txt" ] }, "maxEpisodes": { "title": "Max episodes per run", "minimum": 0, "type": "integer", "description": "Hard cap per run (0 = all).", "default": 0 }, "monitorMode": { "title": "Monitor mode (new-episode watcher)", "type": "boolean", "description": "Recurring watcher with 'Crawl all': output/alert ONLY new episodes. Pair with a Schedule.", "default": false }, "alertOnNewEpisode": { "title": "Alert on new episodes", "type": "boolean", "description": "In monitor mode, alert for each new episode.", "default": true }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "POST endpoint for new-episode alerts." }, "slackWebhookUrl": { "title": "Slack webhook URL", "type": "string", "description": "Slack incoming-webhook URL." }, "emailRecipients": { "title": "Email recipients", "type": "array", "description": "Emails for the digest (via apify/send-mail).", "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings. Datacenter rotation is plenty.", "default": { "useApifyProxy": true } }, "requestConcurrency": { "title": "Request concurrency", "minimum": 1, "maximum": 8, "type": "integer", "description": "Max parallel episode fetches.", "default": 4 }, "diagnose": { "title": "Diagnostic mode (dev)", "type": "boolean", "description": "Dev only. Logs the parsed first episode, then exits.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```