We extract breaking news, opinion columns, financial indicators, and LN+ metadata from lanacion.com.ar. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 & News objects from lanacion.com.ar. All fields typed and schema-versioned.
"article_id": "849201", "url": "https://www.lanacion.com.ar/politica/example-article", "headline": "El gobierno anuncia nuevas medidas economicas", "author": "Carlos Pagni", "publish_date": "2026-05-12T09:14:00Z", "section": "Politica", "comment_count": 342, "paywall_status": "metered"
| # | article_id | url | headline | subheadline | author | publish_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Opinion & Editorials objects from lanacion.com.ar. All fields typed and schema-versioned.
"column_id": "col-9921", "title": "Los desafios del proximo trimestre", "author": "Joaquin Morales Sola", "publish_date": "2026-05-11T18:30:00Z", "tags": "['Economia', 'Inflacion']", "reading_time_mins": 6, "share_count": 1205
| # | column_id | url | title | author | author_bio | publish_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Financial Indicators objects from lanacion.com.ar. All fields typed and schema-versioned.
"name": "Dolar Blue", "buy_price": 1020.5, "sell_price": 1040.0, "variation_pct": 1.2, "timestamp": "2026-05-12T14:00:00Z", "market_type": "Informal", "currency": "ARS"
| # | indicator_id | name | buy_price | sell_price | variation_pct | timestamp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for LN+ Video Content objects from lanacion.com.ar. All fields typed and schema-versioned.
"video_id": "lnp-4421", "program_name": "Mas Nacion", "episode_title": "Entrevista exclusiva", "broadcast_date": "2026-05-10T21:00:00Z", "duration_secs": 3400, "host_names": "['Luis Majul']", "view_count": 45021
| # | video_id | program_name | episode_title | broadcast_date | duration_secs | host_names |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Comments & Community objects from lanacion.com.ar. All fields typed and schema-versioned.
"comment_id": "cmt-88392", "article_id": "849201", "user_name": "Juan Perez", "comment_text": "Excelente analisis de la situacion actual.", "upvotes": 45, "timestamp": "2026-05-12T10:15:22Z", "club_lanacion_member": true
| # | comment_id | article_id | user_name | user_id | comment_text | timestamp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our La Nacion scraper handles every layer of the publication: breaking news, opinion columns, financial dashboards, and asynchronous comment sections. We manage paywall authentication and Spanish text encoding natively.
Extract body text, headlines, subheadlines, and embedded media links across all editorial sections.
Map content to specific writers, tracking output frequency and topic clusters over time.
Extract Dolar Blue, MEP, CCL, and Merval index updates directly from the economy dashboards.
Pull user sentiment, upvotes, and discussion threads on controversial articles loaded via JavaScript.
Session management to access metered or hard-paywalled Club LA NACION content for subscribed pipeline accounts.
Track television program metadata, broadcast schedules, hosts, and guest appearances.
Iterate through sitemaps and date-based archives to build historical text corpora spanning decades.
Extract internal category data to classify articles by politics, economy, sports, or society.
Poll the homepage and RSS feeds for breaking news alerts and headline A/B testing changes.
Brief in. Clean data out.
Provide target sections, author lists, or date ranges. We map the La Nacion taxonomy.
We configure Scrapy crawlers, session managers for the paywall, and proxy rotation.
Schema validation, null-rate checks, and text-encoding verification for Spanish characters.
JSON, CSV, or Parquet pushed to your S3 bucket or BigQuery dataset on an agreed cadence.
Extracting clean text from major publishers requires handling authentication states and dynamic content layers. Here is how our infrastructure manages it.
La Nacion uses a dynamic paywall system. We manage authenticated sessions and cookie rotation to ensure continuous access to premium articles without triggering account bans.
Comments and embedded LN+ media load asynchronously. We use Playwright to execute JavaScript and intercept XHR requests, capturing discussion data that static HTML parsers miss.
News corpora require strict UTF-8 handling. We normalise text encoding to preserve accents and special characters, ensuring downstream NLP models receive clean training data.
Opinion columns, breaking news, and long-form features use different DOM templates. Our selectors use fallback chains to extract core fields regardless of the article layout.
We distribute requests across local residential proxies to avoid IP blocks and maintain a crawl velocity that keeps real-time news pipelines fresh.
Track brand mentions, executive quotes, and sentiment across national news and opinion columns.
Build Spanish-language text corpora using decades of high-quality editorial content for model fine-tuning.
Correlate Dolar Blue fluctuations with political news coverage and editorial sentiment.
Analyse coverage bias, topic frequency, and author alignment during Argentine election cycles.
Other media outlets monitor publishing cadence, headline A/B testing, and comment engagement.
Study public discourse by mining comment sections on polarising political and economic articles.
"La Nacion represents the historical record of Argentine politics and economics. Accessing this corpus requires navigating strict paywalls and dynamic content layers."
Extracting structured text from major publishers involves more than simple HTTP requests. You must handle authentication states, dynamic paywalls, asynchronous comment loading, and unpredictable DOM variations across different article types. DataFlirt manages this infrastructure so your data science team receives clean, ready-to-query text corpora.
Everything supported by our lanacion.com.ar 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 concurrent requests across the La Nacion sitemap, managing retry logic and deduplication.
Redis-backed cookie stores maintain active subscriber sessions to bypass the metered paywall reliably.
Pipelines execute on Kubernetes clusters, formatting text corpora into Parquet and pushing directly to S3.
Data delivered to where your team already works — no new tooling required.
About lanacion.com.ar scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly accessible news articles is generally permissible for non-commercial or analytical use. For paywalled content, clients must provide valid subscription credentials. We do not extract private user data. Clients should consult legal counsel regarding copyright and fair use.
For metered content, we rotate IPs and clear cookies. For hard-paywalled subscriber content, we require the client to provide valid Club LA NACION credentials, which we use to maintain authenticated sessions via our secure cookie management infrastructure.
Yes. Comments are loaded asynchronously via JavaScript. We use Playwright to intercept the underlying API calls, extracting the full comment text, timestamp, author, and upvote metrics.
Yes. We configure high-frequency pipelines to poll the economy section for real-time updates to official, MEP, CCL, and Dolar Blue exchange rates.
We traverse the site sitemaps and date-based archives to extract articles dating back to the start of their digital publication records.
All pipelines enforce strict UTF-8 encoding. We normalise text to ensure accents, tildes, and special characters are preserved perfectly for NLP processing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off historical archive extraction or a real-time feed of political news and financial indicators, we build and operate the pipeline. Tell us your requirements.
