We extract news articles, editorial metadata, author profiles, and category taxonomy from lefigaro.fr. 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 Article Content objects from lefigaro.fr. All fields typed and schema-versioned.
"url": "https://www.lefigaro.fr/economie/inflation-baisse-2026", "headline": "L'inflation recule plus vite que prévu en France", "subheadline": "Les prix à la consommation ralentissent leur progression.", "author": "Jean Dupont", "pub_date": "2026-10-14T06:30:00Z", "category": "Économie", "is_premium": true, "tags": "['Inflation', 'BCE', "Pouvoir d'achat"]"
| # | url | headline | subheadline | body_text | author | pub_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Author Profiles objects from lefigaro.fr. All fields typed and schema-versioned.
"author_id": "jd-8492", "name": "Jean Dupont", "role": "Grand Reporter", "bio": "Spécialiste des questions macroéconomiques européennes.", "article_count": 412, "twitter_handle": "@jeandupont_figaro"
| # | author_id | name | role | bio | article_count | twitter_handle |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Category Taxonomy objects from lefigaro.fr. All fields typed and schema-versioned.
"category_id": "cat-eco", "name": "Économie", "parent_category": "Actualités", "url_slug": "/economie", "trending_topics": "['Bourse', 'Emploi', 'Immobilier']", "last_updated": "2026-10-14T08:15:22Z"
| # | category_id | name | parent_category | url_slug | article_count | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for User Comments objects from lefigaro.fr. All fields typed and schema-versioned.
"comment_id": "cmt-99281A", "article_id": "art-4829", "user_name": "LecteurAverti", "comment_text": "Une analyse très pertinente de la situation actuelle.", "timestamp": "2026-10-14T09:12:45Z", "upvotes": 34, "replies_count": 2
| # | comment_id | article_id | user_name | comment_text | timestamp | upvotes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from lefigaro.fr. All fields typed and schema-versioned.
"keyword": "taux d'intérêt", "position": 1, "article_id": "art-5921", "headline": "La BCE maintient ses taux directeurs", "pub_date": "2026-10-12T14:00:00Z", "author": "Marie Martin", "category": "Économie"
| # | keyword | position | article_id | headline | snippet | pub_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Le Figaro scraper handles every layer of the publication: front-page feeds, historical archives, author metadata, and comment sections - with CMP bypass and paywall detection built in.
Headlines, subheadlines, body text, publication dates, and tags extracted cleanly from the DOM without advertising cruft.
Map articles to specific journalists. Extract author bios, roles, social handles, and historical publication counts.
Accurately flag articles as free or premium. We extract available preview text for gated content to maintain index completeness.
Extract user comments, timestamps, upvote metrics, and reply threads by intercepting the underlying API calls.
Unified extraction across Le Figaro Actualités, Madame Figaro, Le Figaro Sport, and Le Figaro Étudiant.
Track front-page changes, headline A/B tests, and breaking news updates with sub-15-minute polling intervals.
Reconstruct the exact hierarchical structure of sections and sub-sections to categorise content accurately.
Monitor specific keywords or entities across the publication to track media coverage and sentiment over time.
Traverse sitemaps and pagination to backfill historical datasets spanning years of published content.
Brief in. Clean data out.
Provide target sections, keyword sets, or author profiles. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and CMP bypass mechanisms for lefigaro.fr.
Schema validation, null-rate checks, and text-encoding verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News publishers deploy strict rate limits and complex cookie consent mechanisms. Here is how we stay resilient.
European news sites use aggressive Consent Management Platforms (CMPs). Our Playwright sessions automatically inject the correct consent cookies and interact with consent iframes to access the actual DOM without blocking.
Le Figaro loads comments dynamically via XHR requests. Instead of parsing complex DOM structures, we intercept the raw JSON payloads from their backend APIs to extract comment threads and upvote metrics cleanly.
Premium articles truncate content server-side for unauthenticated users. We detect paywall flags reliably and extract the maximum available preview text, ensuring your dataset maintains structural integrity without throwing errors.
We handle French text encoding natively, preserving accents, converting HTML entities, and stripping inline advertisement blocks or newsletter signup forms embedded within the article body.
High-frequency polling triggers rate limits. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to blend in with regular reader traffic.
AI research teams ingest high-quality French editorial text to train language models and improve translation algorithms.
PR agencies and corporate intelligence teams track brand mentions, executive quotes, and crisis developments in real time.
Financial analysts process economic news and user comments to gauge public sentiment on policy changes and market events.
Rival publishers monitor Le Figaro's publication cadence, author output, and headline A/B testing strategies.
Marketing teams analyse keyword frequency and trending topics in the Madame Figaro and Culture sections to predict consumer interests.
Political scientists and sociologists analyse historical coverage patterns and editorial bias over multi-year datasets.
"Le Figaro represents one of the most authoritative French language corpora available, but structuring its daily output requires dedicated extraction infrastructure."
News publishers deploy strict rate limits and complex cookie consent mechanisms. DataFlirt manages the proxy rotation, CMP bypass, and selector maintenance required to turn lefigaro.fr into a reliable, structured data feed for your engineering teams.
Everything supported by our lefigaro.fr 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 sitemap crawling and deduplication. Playwright manages CMP overlays, cookie sessions, and XHR interception for dynamic comments.
We maintain pools of European residential proxies. Rotation happens per-request to prevent IP bans during high-frequency front-page polling.
Pipelines run on AWS ECS. 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 lefigaro.fr scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news headlines, metadata, and free text is generally permissible under web scraping precedents, provided it does not violate copyright laws for commercial republication. DataFlirt extracts factual data and metadata for analysis, not for building competing news portals. Clients must ensure their downstream use cases comply with French copyright law and Le Figaro's terms of service.
We extract all metadata (headline, author, date, category) and the publicly visible preview text for premium articles. We flag the record with 'is_premium: true'. We do not bypass authentication walls to steal gated content.
Our pipelines can poll Le Figaro's front page, RSS feeds, and XML sitemaps at sub-15-minute intervals. Webhook delivery pushes the extracted record to your systems milliseconds after parsing.
Yes. We can traverse historical sitemaps and pagination structures to extract years of past articles, author profiles, and category data to build baseline datasets for NLP training.
Yes. By maintaining a hash index of article URLs, we can detect when Le Figaro updates a headline or modifies the body text, emitting a diff record with the updated timestamp.
Yes. We intercept the XHR requests used to load comments dynamically, allowing us to extract full comment threads, user names, timestamps, and upvote/downvote metrics cleanly.
Our smallest packages start at daily extraction of specific categories or author feeds. For full-site historical backfills or sub-15-minute polling, we price based on compute volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive dump for LLM training or a real-time news monitoring feed - we scope, build, and operate the pipeline. Tell us what you need.
