Democracy Now! Transcript Scraper
Pricing
Pay per event
Democracy Now! Transcript Scraper
Scrapes segment transcripts from Democracy Now!, the daily independent news program. Extracts full transcripts with speaker labels, guest info, topics, and CC BY-NC-ND 3.0 license metadata. Supports date-range crawling and individual episode URLs.
Pricing
Pay per event
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Developer
BowTiedRaccoon
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2
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1
Monthly active users
a month ago
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Extract full transcripts from Democracy Now! — the daily independent news program broadcast since 1996. Each record contains the complete segment transcript with speaker labels, guest names and bios, topic tags, duration, and Creative Commons license metadata.
All content is published by Democracy Now! under CC BY-NC-ND 3.0 US (Attribution, NonCommercial, NoDerivatives). License fields are emitted on every record.
What You Get
Each output record represents one segment from the daily show:
| Field | Description |
|---|---|
show_date | Episode date (YYYY-MM-DD) |
segment_title | Segment headline |
segment_slug | URL slug (e.g. trump_elections) |
segment_url | Canonical page URL |
segment_order | Position within the day's show (1-based) |
duration_seconds | Segment length in seconds |
hosts | Show hosts (comma-separated) |
guests | Guest names (comma-separated) |
guest_descriptors | Guest biographical descriptions |
topics | Tagged topics (comma-separated) |
body_text | Full plain-text transcript with speaker labels |
body_html | Original transcript HTML with speaker spans |
speakers | Unique speaker labels extracted from transcript |
related_segment_urls | Related segment links |
cc_license | CC BY-NC-ND 3.0 US |
cc_license_url | Link to the CC license |
source | democracynow.org |
scraped_at | ISO 8601 scrape timestamp |
Sample Output
{"show_date": "2026-05-08","segment_slug": "trump_elections","segment_url": "https://www.democracynow.org/2026/5/8/trump_elections","segment_title": "Trump Pushes to Take Over Elections, Punish His Enemies: Pulitzer Prize-Winning Reporter Ned Parker","segment_summary": "A new Reuters investigation details how the Trump administration is seeking federal control over elections in at least eight states...","segment_order": 1,"duration_seconds": 1127,"hosts": "Amy Goodman","guests": "Ned Parker","guest_descriptors": "Reuters investigative reporter.","topics": "Voting, Donald Trump, 2020 Election, Arizona, Georgia","body_text": "AMY GOODMAN: Tennessee's Republican-dominated state Legislature...","speakers": "AMY GOODMAN, NED PARKER","cc_license": "CC BY-NC-ND 3.0 US","cc_license_url": "https://creativecommons.org/licenses/by-nc-nd/3.0/us/","source": "democracynow.org","scraped_at": "2026-05-11T09:39:30.311Z"}
Input Options
| Parameter | Type | Default | Description |
|---|---|---|---|
startDate | string | 2026-05-08 | Start date (YYYY-MM-DD) |
endDate | string | 2026-05-08 | End date (YYYY-MM-DD) |
maxItems | integer | 10 | Maximum records to return |
Date range crawl: Set startDate and endDate to crawl a span of days. For a 30-year backfill, the site has ~50,000 total segment records — set maxItems: 0 for no cap.
Note: Democracy Now! broadcasts Monday–Friday. Weekend dates return no segments.
License Notice
Democracy Now! publishes all original content under Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 United States (CC BY-NC-ND 3.0 US):
- Attribution required — credit Democracy Now!
- Non-commercial use only
- No derivatives — content may not be modified and redistributed
Research, academic, indexing, and editorial reuse with attribution is permitted. Commercial training-data products incorporating the raw transcripts require separate permission from Democracy Now! This license is more restrictive than CC BY-SA — confirm your use case before bulk extraction.
Performance
- No proxy required — Democracy Now! is openly accessible with no bot protection
- Concurrency: 3 concurrent requests (~1 req/sec, courteous default)
- Throughput: ~240 segments/hour at default concurrency
- Memory: 256 MB
Use Cases
- Academic and journalistic corpus construction (CC license makes attribution clear)
- Political science and media studies research
- Speaker diarization training data (clean
NAME:turn boundaries) - Topic modeling and trend analysis (structured topic tags since 1996)
- Archival and preservation pipelines
Need More Features?
File an issue or contact us at orbtop.com — we're happy to add fields, extend date-range support, or build a custom variant for your use case.