We extract complete article text, author profiles, video metadata, and regional news feeds from ctvnews.ca. 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 ctvnews.ca. All fields typed and schema-versioned.
"article_id": "248910", "url": "https://www.ctvnews.ca/politics/example-article", "headline": "Parliament passes new infrastructure bill", "author": "Jane Doe", "publish_date": "2026-05-12T09:14:00Z", "category": "Politics", "tags": "['Infrastructure', 'Parliament', 'Ottawa']"
| # | article_id | url | headline | subheadline | author | publish_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Authors objects from ctvnews.ca. All fields typed and schema-versioned.
"name": "Jane Doe", "role": "Senior Political Correspondent", "twitter_handle": "@janedoe_ctv", "article_count": 412, "location": "Ottawa Bureau", "profile_url": "https://www.ctvnews.ca/journalists/jane-doe"
| # | author_id | name | profile_url | bio | twitter_handle | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Video Metadata objects from ctvnews.ca. All fields typed and schema-versioned.
"video_id": "v98234", "title": "Prime Minister addresses the nation", "duration": "08:45", "publish_date": "2026-05-12T10:00:00Z", "category": "National", "related_article_id": "248910"
| # | video_id | title | duration | thumbnail_url | publish_date | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Regional News objects from ctvnews.ca. All fields typed and schema-versioned.
"region": "Toronto", "subdomain": "toronto.ctvnews.ca", "headline": "TTC announces weekend subway closures", "priority": "high", "publish_date": "2026-05-12T08:30:00Z", "local_tags": "['TTC', 'Transit', 'Toronto']"
| # | region | subdomain | headline | url | publish_date | local_tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories & Tags objects from ctvnews.ca. All fields typed and schema-versioned.
"category_name": "Politics", "url": "https://www.ctvnews.ca/politics", "article_count": 5430, "last_updated": "2026-05-12T11:05:00Z", "sub_categories": "['Federal', 'Provincial', 'Elections']", "trending_tags": "['House of Commons', 'Budget 2026']"
| # | category_name | url | article_count | top_headlines | last_updated | sub_categories |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our CTV News scraper handles every layer of the platform: national headlines, regional subdomains, deep article text, and video metadata — with JavaScript rendering and session management built in.
Headlines, subheadlines, author bylines, publish dates, update timestamps, and clean body text stripped of ads and tracking scripts.
Extract localized feeds from toronto.ctvnews.ca, bc.ctvnews.ca, montreal.ctvnews.ca, and all other regional endpoints.
Capture video titles, durations, thumbnails, and descriptions embedded within articles or standalone video hubs.
Compile journalist directories including bios, social media handles, roles, and historical article counts.
Maintain the exact taxonomy used by CTV News, ensuring articles are correctly categorised for topical analysis.
Monitor RSS feeds and top-story carousels at high frequency to capture breaking news alerts as they are published.
Paginate through sitemaps and category archives to build comprehensive datasets of past reporting.
Track article revisions. Our pipelines identify when a headline changes or an article is updated with new information.
Raw HTML is parsed into clean, queryable JSON or Parquet formats, ready for NLP or LLM training pipelines.
Brief in. Clean data out.
Provide categories, regional subdomains, or historical date ranges. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and pagination handling for ctvnews.ca.
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.
Modern news sites use complex front-end frameworks and dynamic loading. Here's how we stay resilient — and why teams choose managed infrastructure over DIY.
CTV News category pages and article feeds rely heavily on infinite scroll and AJAX requests. Our crawlers intercept backend API calls or execute full Playwright sessions to trigger lazy loading, ensuring no articles are missed.
Local news is distributed across dozens of subdomains (e.g., calgary.ctvnews.ca). We normalise these disparate DOM structures into a single unified schema, allowing you to query national and local news simultaneously.
News articles are littered with inline advertisements, newsletter signups, and related-article widgets. Our parsing logic isolates the core editorial text, delivering clean paragraphs suitable for NLP models.
Major news events often feature custom page layouts that break standard scraping scripts. Our selector strategy uses multiple fallback chains — CSS selectors, XPath, and structured data extraction (LD+JSON) — so a layout change doesn't break your pipeline.
High-frequency scraping triggers CDN rate limits. We distribute requests across Canadian residential IPs, randomising request timing and mimicking real user behaviour to ensure uninterrupted data flow.
PR firms and corporate communications teams track brand mentions, executive quotes, and industry coverage across national and local feeds.
Think tanks and campaign managers analyse coverage bias, policy mentions, and regional focus leading up to elections.
AI companies consume clean, structured news text to train large language models on Canadian dialect and current events.
Financial analysts gauge public sentiment on economic policies, interest rates, and housing markets based on article tone and volume.
Other media organisations track publication velocity, author output, and trending topics to optimise their own editorial strategies.
Legal and compliance teams build historical databases of public statements and regulatory announcements covered by the press.
"CTV News provides the most comprehensive coverage of Canadian affairs — but extracting clean, structured text from its dynamic media pages requires dedicated infrastructure."
Most teams underestimate the investment required: reliable news scraping requires full JavaScript rendering, infinite-scroll pagination handling, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our ctvnews.ca 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 Canadian 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 ctvnews.ca scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news articles is generally permissible. DataFlirt targets only public, non-authenticated editorial content and metadata. We do not circumvent authentication walls or extract personal user data. Clients should review terms of service and consult legal counsel regarding copyright and fair dealing for their specific use cases.
We map all regional subdomains (e.g., toronto.ctvnews.ca, calgary.ctvnews.ca) and normalise their specific DOM structures into a single unified schema. This allows you to query local and national news simultaneously without managing separate pipelines.
Yes. We monitor the update timestamps and maintain a hash index of article content. If an article is revised, we emit a new record with the updated text and headline, allowing you to track editorial changes over time.
We extract comprehensive video metadata (titles, descriptions, duration, view counts, and thumbnails). We do not download or host the raw .mp4 video files.
For breaking news monitoring, we can configure pipelines to poll top-story carousels and RSS feeds at sub-5-minute intervals. Full historical archive extractions are processed via batch runs.
Absolutely. We provide a sample run of up to 500 articles across various categories and regions as part of the pre-engagement scoping process — so you can validate schema fit and text cleanliness before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive of political coverage or a real-time feed of regional alerts — we scope, build, and operate the pipeline. Tell us what you need.
