We extract full article text, video metadata, author profiles, and breaking news alerts from ABC 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 abcnews.go.com. All fields typed and schema-versioned.
"url": "https://abcnews.go.com/Politics/example-article", "headline": "Senate Passes New Infrastructure Bill", "author": "Jane Doe", "publish_date": "2023-10-24T14:30:00Z", "category": "Politics", "tags": "['Senate', 'Infrastructure', 'Congress']"
| # | url | headline | subheadline | author | publish_date | update_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Video Metadata objects from abcnews.go.com. All fields typed and schema-versioned.
"video_id": "v_98765432", "title": "Exclusive Interview with the President", "duration": "14:22", "show_name": "Good Morning America", "publish_date": "2023-10-25T08:00:00Z", "tags": "['Interview', 'GMA', 'Politics']"
| # | video_id | title | duration | transcript | publish_date | show_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Authors objects from abcnews.go.com. All fields typed and schema-versioned.
"author_id": "a_12345", "name": "John Smith", "role": "Chief Washington Correspondent", "twitter_handle": "@johnsmithabc", "article_count": 842, "latest_article_url": "https://abcnews.go.com/Politics/latest-piece"
| # | author_id | name | role | bio | twitter_handle | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Breaking News objects from abcnews.go.com. All fields typed and schema-versioned.
"alert_id": "bn_5543", "headline": "Major Earthquake Strikes West Coast", "timestamp": "2023-10-26T09:15:00Z", "priority_level": "high", "category": "US", "region": "California"
| # | alert_id | headline | summary | timestamp | priority_level | related_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Homepage Feed objects from abcnews.go.com. All fields typed and schema-versioned.
"position": 1, "section": "Top Stories", "headline": "Global Markets Rally Amid Tech Earnings", "url": "https://abcnews.go.com/Business/markets-rally", "is_breaking": false, "rank": 1
| # | position | section | headline | url | image_url | is_breaking |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our ABC News scraper bypasses aggressive CDN caching and ad-heavy DOMs to deliver clean, structured text and metadata ready for NLP pipelines.
Extract headlines, subheadlines, author bylines, publication timestamps, and complete body text with inline ad injections removed.
Capture closed captions, duration, show attribution, and video metadata from ABC's dynamic media players.
Scrape journalist bios, social links, role titles, and historical article counts across the platform.
High-frequency polling of homepage banners and RSS feeds to capture breaking events with sub-minute latency.
Monitor category-specific feeds including Politics, US, International, Business, and Technology.
Extract hidden meta keywords, description tags, and internal taxonomies used for content categorisation.
Iterate through sitemaps and date-based pagination to build comprehensive historical text corpora.
Map internal linking structures by extracting 'Read More' and inline related article URLs.
Run one-off historical backfills or configure continuous pipelines at hourly or real-time cadences.
Brief in. Clean data out.
Provide target sections, author lists, or historical date ranges. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and DOM cleaning algorithms for abcnews.go.com.
Schema validation, null-rate checks, and text-cleanliness verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News publishers employ aggressive caching, dynamic video players, and complex DOM structures. Here is how we extract clean text.
ABC News relies heavily on client-side rendering for its video components. We use Playwright to execute JavaScript, hydrate the media players, and extract closed caption tracks and video metadata that standard HTTP clients miss.
High-frequency polling for breaking news triggers rate limits and WAF blocks. We rotate residential US proxies per request, mimicking standard reader traffic to maintain pipeline stability.
News article DOMs are littered with inline ads, newsletter modals, and tracking scripts. Our extraction logic uses precise XPath selectors and text-cleaning algorithms to output pure, contiguous journalistic text.
For clients requiring real-time signals, we monitor API endpoints and RSS feeds rather than full HTML pages, reducing overhead and achieving sub-minute latency on breaking alerts.
ABC News uses different templates for standard articles, interactive features, and live blogs. We maintain fallback chains for every field to ensure structural changes do not break your data feed.
PR firms and corporate communications teams track narrative shifts and brand mentions across top-tier national news.
AI research labs ingest high-quality, editorially verified journalistic text to train language models and sentiment classifiers.
Quantitative hedge funds parse breaking political and economic news to generate event-driven trading signals.
Campaign strategists track election coverage, candidate mentions, and regional narrative focus over time.
Rival media organisations monitor ABC News publishing velocity, author output, and section focus to benchmark their own newsrooms.
Supply chain and security teams integrate breaking news alerts into their threat intelligence platforms to monitor global events.
"ABC News produces a massive daily volume of verified journalistic text and video transcripts — critical for training models and tracking global events."
Extracting news data at scale requires more than a simple HTTP GET. You must navigate dynamic video players, ad-heavy DOMs, and aggressive CDN caching. DataFlirt manages this infrastructure so your data science teams receive clean, structured text ready for NLP pipelines, without the daily maintenance overhead.
Everything supported by our abcnews.go.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About abcnews.go.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news articles is generally protected under fair use and public data access principles. DataFlirt extracts only public, non-authenticated text and metadata. We do not circumvent paywalls without authorisation or extract personally identifiable information.
Yes. We use headless browsers to hydrate the native video players on abcnews.go.com and extract the associated closed caption tracks and metadata.
For breaking news monitoring, we deploy high-frequency polling against specific homepage sections and RSS feeds, achieving sub-minute latency to downstream webhooks.
Yes. We parse XML sitemaps and utilise date-based pagination to backfill historical datasets spanning multiple years.
Our extraction logic targets specific article body containers and actively strips out known ad classes, newsletter iframes, and tracking scripts, ensuring the output text is contiguous and clean.
Engagements typically start at a defined section or author list with daily delivery. For full historical backfills or real-time streaming, we scope based on compute requirements and data volume.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off historical archive dump or a continuous breaking news feed — we scope, build, and operate the pipeline. Tell us what you need.
