We extract news articles, podcast transcripts, audio metadata, and author profiles from NPR. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Articles objects from npr.org. All fields typed and schema-versioned.
"article_id": "1198908354", "title": "Inflation cools slightly, but prices remain high", "author": "Scott Horsley", "publish_date": "2023-08-10T08:32:00Z", "topics": "['Economy', 'Inflation', 'Business']", "audio_available": true, "url": "https://www.npr.org/2023/08/10/1198908354/inflation-cpi-prices"
| # | article_id | url | title | author | publish_date | update_date |
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Complete list of extractable fields for Podcasts objects from npr.org. All fields typed and schema-versioned.
"episode_id": "1197839201", "program_name": "Planet Money", "episode_title": "The indicator: Rent vs Buy", "duration_seconds": 584, "host": "Adrian Ma", "audio_url": "https://ondemand.npr.org/anon.npr-mp3/npr/pm/2023/08/20230809_pm_indicator.mp3", "publish_date": "2023-08-09T16:00:00Z"
| # | episode_id | program_name | episode_title | episode_url | publish_date | duration_seconds |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Transcripts objects from npr.org. All fields typed and schema-versioned.
"episode_id": "1197839201", "segment_index": 12, "speaker": "MARY LOUISE KELLY", "text_block": "That is a question we are going to explore today.", "timestamp_start": "00:02:14", "timestamp_end": "00:02:18", "word_count": 10
| # | episode_id | segment_index | speaker | text_block | timestamp_start | timestamp_end |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Authors objects from npr.org. All fields typed and schema-versioned.
"author_id": "1234567", "name": "Nina Totenberg", "role": "Legal Affairs Correspondent", "twitter_handle": "@NinaTotenberg", "location": "Washington, D.C.", "recent_articles": "['1198908354', '1198908355']", "bio": "Nina Totenberg is NPR's award-winning legal affairs correspondent."
| # | author_id | name | role | bio | twitter_handle | recent_articles |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Member Stations objects from npr.org. All fields typed and schema-versioned.
"station_id": "345", "callsign": "KQED", "frequency": "88.5 FM", "city": "San Francisco", "state": "CA", "stream_url": "https://streams.kqed.org/kqedradio", "format": "News/Talk"
| # | station_id | callsign | frequency | city | state | stream_url |
|---|---|---|---|---|---|---|
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Our NPR scraper extracts text, audio metadata, and transcript data across the entire network. We handle audio player state, pagination, and dynamic transcript loading automatically.
Extract clean body text, headlines, subheadings, and image captions without ads or navigation clutter.
Capture direct MP3 URLs, duration, file size, and streaming endpoints for all podcast episodes and broadcast segments.
Extract speaker-attributed text blocks mapped to timestamps for NLP and LLM training datasets.
Map articles and audio to NPR's internal taxonomy, including primary topics, tags, and program associations.
Extract reporter names, correspondent roles, and bio information linked to specific articles and audio segments.
Index regional member station details, including broadcast frequencies, local stream URLs, and callsigns.
Extract daily broadcast schedules for specific programs like Morning Edition, All Things Considered, and Fresh Air.
Crawl historical archives spanning decades of journalism, handling infinite scroll and legacy URL structures.
Monitor RSS feeds and topic pages to extract breaking news and new podcast episodes within minutes of publication.
Brief in. Clean data out.
Provide program names, topic tags, or author profiles. We design the extraction schema together.
We configure Scrapy crawlers, handle transcript DOM parsing, and manage request limits for npr.org.
Schema validation, null-rate checks, and text formatting verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting from a media-heavy site requires handling dynamic audio players and asynchronous text loading. Here is how we manage it.
NPR transcripts often load asynchronously or require user interaction to expand. We use Playwright to execute JavaScript, trigger transcript expansion, and parse the resulting DOM into structured speaker blocks.
Audio files are embedded within complex player components. Our pipeline intercepts network requests to extract the underlying MP3 URLs and streaming endpoints directly from the media server responses.
News articles contain embedded tweets, newsletter signups, and related article links. We strip non-editorial elements, delivering pure journalistic text ready for NLP ingestion.
NPR has decades of archives with varying URL schemas and page layouts. Our fallback selectors recognise legacy templates to ensure historical data is extracted consistently alongside modern articles.
We optimise request concurrency and utilise US-based proxies to distribute load, ensuring stable extraction without triggering firewall blocks or degrading NPR's server performance.
AI teams use NPR's high-quality transcripts and articles to train language models on conversational audio and journalistic text.
PR firms and corporate communication teams track brand mentions, sentiment, and topic coverage across national and regional broadcasts.
Linguists and sociologists analyse decades of broadcast transcripts to study language evolution, political discourse, and media bias.
Developers use aligned audio and text transcript datasets to improve speech-to-text algorithms and accessibility software.
News aggregators ingest structured article and podcast metadata to populate custom feeds and topic-specific dashboards.
Institutions maintain structured backups of public broadcasting records for historical preservation and reference.
"NPR holds decades of pristine journalism and audio documentaries. We turn that unstructured media into queryable datasets ready for analysis."
Extracting data from NPR requires handling dynamic audio players, asynchronous transcript loading, and regional member station routing. DataFlirt manages the extraction layer so your data science teams receive clean text corpuses ready for NLP and LLM training pipelines, without maintaining complex scraping infrastructure.
Everything supported by our npr.org scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles high-volume article crawling. Playwright executes JavaScript to extract dynamic audio player states and asynchronous transcripts.
Advanced lxml and BeautifulSoup pipelines strip editorial noise, returning normalised text blocks optimised for NLP ingestion.
Pipelines run on AWS Lambda and ECS. Airflow manages scheduling, ensuring daily news syncs complete within strict time windows.
Data delivered to where your team already works — no new tooling required.
About npr.org scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news articles, transcripts, and metadata from NPR is generally permissible under applicable law. DataFlirt targets only public, non-authenticated data. We do not extract user data or bypass NPR+ paywalls. Clients should review terms of service and consult legal counsel for specific commercial use cases.
We extract the direct URLs to the MP3 files and streaming endpoints hosted on NPR's media servers. You can use these URLs to download the audio files directly to your own infrastructure.
We parse transcript pages into structured JSON objects, separating speaker names, text blocks, and timestamps. This format is designed specifically for ingestion into machine learning and NLP pipelines.
Yes. We configure fallback selectors to handle legacy page templates, allowing us to extract articles and broadcast metadata dating back decades.
We configure continuous monitoring pipelines that poll NPR RSS feeds and topic pages, delivering new articles via webhook within minutes of publication.
Yes. We can extract member station directories, including callsigns, broadcast frequencies, local stream URLs, and network affiliations.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive of Planet Money transcripts or a daily feed of breaking news articles, we build and operate the pipeline. Tell us what you need.
