We extract articles, author metadata, newsletter archives, and topic feeds from Axios. 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 Data objects from axios.com. All fields typed and schema-versioned.
"article_id": "8f7d9a2c-4b1e-4c8d-b9f2-1a3b5c7d9e0f", "headline": "Tech giants pivot to nuclear power", "author_name": "Ina Fried", "published_date": "2026-05-12T14:30:00Z", "topics": "['Technology', 'Energy', 'AI']", "word_count": 412, "source_url": "https://www.axios.com/2026/05/12/tech-nuclear-power-ai"
| # | article_id | headline | subheadline | author_name | author_id | published_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Author Profiles objects from axios.com. All fields typed and schema-versioned.
"author_id": "ina-fried", "full_name": "Ina Fried", "role": "Chief Technology Correspondent", "twitter_handle": "@inafried", "article_count": 1402, "location": "San Francisco", "profile_image_url": "https://images.axios.com/ina-fried-profile.jpg"
| # | author_id | full_name | role | twitter_handle | linkedin_url | bio |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Newsletters objects from axios.com. All fields typed and schema-versioned.
"newsletter_id": "axios-login", "name": "Axios Login", "frequency": "Daily", "latest_issue_date": "2026-05-12T10:00:00Z", "category": "Technology", "description": "The biggest tech stories, delivered daily."
| # | newsletter_id | name | frequency | author_ids | subscriber_count | latest_issue_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Topics & Tags objects from axios.com. All fields typed and schema-versioned.
"tag_id": "artificial-intelligence", "tag_name": "Artificial Intelligence", "article_count": 3491, "trending_score": 98.5, "url_slug": "/technology/artificial-intelligence", "category": "Technology"
| # | tag_id | tag_name | article_count | trending_score | related_tags | latest_article_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Axios Local objects from axios.com. All fields typed and schema-versioned.
"city_name": "Austin", "newsletter_name": "Axios Austin", "lead_author": "Asher Price", "latest_headline": "Austin housing market cools", "publish_time": "2026-05-12T12:00:00Z", "local_sponsors": "['HEB', 'Dell']"
| # | city_name | newsletter_name | lead_author | subscriber_count | latest_headline | publish_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Axios scraper handles the modern Next.js architecture: extracting structured Smart Brevity content, author metadata, and newsletter archives with anti-bot circumvention built in.
Headlines, body text, quotes, and embedded media links scraped at scale with exact publication timestamps.
Isolate and extract specific structural elements like 'Why it matters', 'The big picture', and 'By the numbers'.
Monitor author output, extract bios, and map social media handles across the entire Axios network.
Extract historical issues of Axios AM, PM, Login, and Pro newsletters into structured time-series datasets.
Follow specific beats like politics, tech, or markets, capturing every new article published under target tags.
Extract city-specific news, local sponsor data, and event listings from the Axios Local network.
Capture precise published and updated timestamps to track article revisions and breaking news velocity.
Map outbound links and internal citations to build knowledge graphs of sources and related coverage.
Run one-off bulk exports or configure continuous pipelines at hourly cadences with change-detection diffing.
Brief in. Clean data out.
Provide topics, author lists, or newsletter endpoints. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for axios.com.
Schema validation, null-rate checks, and sample article extraction before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Modern media sites use aggressive caching and dynamic hydration. Here is how we stay resilient.
Axios utilizes enterprise CDN and WAF protections. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass automated security checks.
The site relies heavily on client-side rendering. We run full Playwright browser sessions to ensure dynamic content, interactive charts, and lazy-loaded articles are fully hydrated before extraction.
React class names change frequently. Our selector strategy uses data attributes, structural patterns, and LD+JSON metadata to ensure a layout update does not break the pipeline.
News stories evolve. We maintain a hash index of last-seen values per article. Subsequent runs push diffs when headlines change or updates are appended, reducing downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and schema drift, responding before you notice data gaps.
Corporate communications teams track brand mentions, executive coverage, and sentiment across national and local beats.
Hedge funds extract M&A rumors, policy shifts, and market analysis from Axios Pro and financial newsletters.
Think tanks and advocacy groups monitor policy updates, legislative tracking, and political correspondent output.
Strategy teams track competitor announcements and industry trends summarized in the Smart Brevity format.
Machine learning teams use the structured Smart Brevity corpus to train summarization models and LLMs.
Real estate and retail analysts extract city-specific economic updates and event data from Axios Local.
"Axios pioneered the Smart Brevity format. It is a highly structured, dense corpus of political and financial intelligence perfectly suited for programmatic consumption."
Extracting Axios data requires navigating modern Next.js single-page application architectures and aggressive CDN caching. DataFlirt handles the rendering, proxy rotation, and schema normalisation so your data science teams receive clean, structured text feeds ready for ingestion.
Everything supported by our axios.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 Next.js hydration and interaction flows.
We maintain pools of residential ISP proxies across US regions to bypass CDN blocking and IP rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. State stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About axios.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available news articles is generally permissible. DataFlirt targets only public, non-authenticated content. We do not extract personal data or circumvent paywalls. Clients should review terms of service and consult legal counsel for specific use cases.
We use full Playwright browser sessions to ensure the React application fully hydrates, exposing the complete DOM and structured JSON-LD metadata before extraction begins.
Yes. Our parsers are designed specifically for the Smart Brevity format, splitting the text into structured fields like 'The big picture', 'By the numbers', and 'Why it matters'.
Real-time streaming pipelines achieve sub-15-minute latency for new publications on target topic feeds. Full historical archives take longer depending on depth.
Yes. We can extract content from all Axios Local city editions, including local headlines, event listings, and sponsor data.
Absolutely. We provide a sample run of recent articles across requested topics during the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive dump or a continuous news monitoring feed, we scope, build, and operate the pipeline. Tell us what you need.
