We extract articles, author metadata, video transcripts, and broadcast schedules from CBS News. 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 cbsnews.com. All fields typed and schema-versioned.
"url": "https://www.cbsnews.com/news/example-article/", "headline": "Global Markets React to Interest Rate Adjustments", "author": "Jane Doe", "publish_date": "2023-10-24T14:30:00Z", "category": "MoneyWatch", "tags": "['economy', 'interest rates', 'federal reserve']"
| # | url | headline | subheadline | author | publish_date | update_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Video Metadata objects from cbsnews.com. All fields typed and schema-versioned.
"video_id": "v-8472910", "title": "Exclusive Interview with the Treasury Secretary", "duration": "14:22", "show_name": "60 Minutes", "air_date": "2023-10-22T19:00:00Z", "transcript_available": true
| # | video_id | title | description | duration | show_name | air_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Authors objects from cbsnews.com. All fields typed and schema-versioned.
"author_id": "a-4921", "name": "John Smith", "role": "Chief Political Correspondent", "twitter_handle": "@johnsmith_cbs", "article_count": 482, "profile_url": "https://www.cbsnews.com/team/john-smith/"
| # | author_id | name | role | bio | twitter_handle | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Broadcast Schedules objects from cbsnews.com. All fields typed and schema-versioned.
"show_name": "Face the Nation", "episode_title": "Sunday October 29", "air_time": "2023-10-29T10:30:00Z", "timezone": "EST", "anchor": "Margaret Brennan", "network": "CBS"
| # | show_name | episode_title | air_time | timezone | guests | anchor |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Local Affiliates objects from cbsnews.com. All fields typed and schema-versioned.
"station_callsign": "WBBM-TV", "city": "Chicago", "state": "IL", "top_story": "City Council Votes on New Transit Budget", "weather_alert": false, "network_affiliation": "CBS O&O"
| # | station_callsign | city | state | url | top_story | weather_alert |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our CBS News scraper handles every layer of the publication: article text, embedded video metadata, author archives, and broadcast transcripts, with dynamic JavaScript rendering built in.
Extract raw HTML or clean text bodies, handling pagination, dynamic loads, and embedded media elements.
Capture closed captioning text, duration, and broadcast origin from embedded ViacomCBS players.
Track journalist output, reporting beats, and social handles across the entire editorial staff.
Map topic taxonomies across US, World, Politics, Health, and MoneyWatch sections.
Sub-minute polling on top-story banners and breaking news push alerts.
Extract historical investigative reports, correspondent assignments, and segment summaries.
Scrape CBS Chicago, CBS New York, and other regional O&O stations.
Parse Q&A formats, guest lists, and political commentary.
Run daily batch exports or continuous feeds for media monitoring.
Brief in. Clean data out.
Provide section URLs, author pages, or keyword sets. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for cbsnews.com.
Schema validation, null-rate checks, and sample text extraction before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Media conglomerates invest heavily in CDNs and dynamic frontends. Here is how we stay resilient.
Media sites use aggressive CDN caching and perimeter security. Our crawlers use residential ISP proxies with realistic browser fingerprints to bypass bot mitigation rules.
CBS News relies on dynamic ViacomCBS video players. We run full Playwright browser sessions to trigger player initialisation and capture internal metadata and transcript URLs.
Section fronts and author pages use infinite scrolling. We script interactions to force content loads, ensuring complete historical extraction.
Editorial layouts change frequently. Our strategy uses multiple fallback chains per field so a layout change does not break your data pipeline.
Every run emits structured logs. We alert on null-rate spikes in article bodies or video metadata and respond before the data reaches your warehouse.
PR firms and corporate communications teams track brand mentions and crisis coverage across national and local broadcasts.
AI teams build corpora of high-quality broadcast journalism to train language models on formal reporting structures.
Think tanks analyse sentiment, topic frequency, and guest appearances in Face the Nation transcripts.
Media conglomerates track editorial output, publication velocity, and topic coverage strategies.
Quantitative funds extract breaking market news and economic commentary from CBS MoneyWatch.
Universities study media bias, topic coverage over time, and shifts in journalistic standards.
"CBS News provides a critical historical record of broadcast journalism and global events, but treating it as a structured dataset requires bypassing complex media players and dynamic frontends."
Extracting data from modern media conglomerates involves navigating infinite scrolls, embedded video players, and aggressive CDN caching. DataFlirt manages the infrastructure required to turn CBS News articles, transcripts, and broadcast metadata into queryable tables, allowing your data science teams to focus on NLP models and sentiment analysis.
Everything supported by our cbsnews.com 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 crawl orchestration and retry logic. Playwright handles JavaScript rendering for video players and dynamic article loads.
We maintain pools of residential ISP proxies to bypass CDN bot protection and ensure consistent access to regional affiliates.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About cbsnews.com scraping, legality, and pipeline operations.
Ask us directly →Yes. If the transcript is published as an article or embedded within the closed captioning track of the web player, we extract the full text along with timestamps and speaker attributions.
Our streaming pipelines poll section fronts and RSS feeds at sub-minute intervals, delivering structured JSON via Webhook within seconds of publication.
Yes. We support extraction from regional CBS owned-and-operated stations like CBS Chicago, CBS New York, and CBS Los Angeles using the same unified schema.
No. We only extract publicly available news articles, free broadcast segments, and metadata. We do not circumvent authentication walls for premium Paramount+ content.
We track the 'update_date' and hash the article body. If a story is revised after publication, our change detection system emits a new version of the record with the updated text.
Yes. Pipelines can be scoped to specific journalist profile URLs, category pages, or keyword search results to limit the extraction to relevant content.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive of broadcast transcripts or a real-time feed of breaking news alerts, we scope, build, and operate the pipeline.
