We extract full-text articles, author profiles, section metadata, and comment threads from the Los Angeles Times. 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 latimes.com. All fields typed and schema-versioned.
"url": "https://www.latimes.com/california/story/example-news", "headline": "California legislature passes new water conservation bill", "author": "Jane Doe", "publish_date": "2026-04-12T14:30:00Z", "section": "California", "word_count": 1240, "paywall_status": "metered", "tags": "['Water Crisis', 'Sacramento', 'Climate']"
| # | url | headline | subheadline | author | publish_date | update_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Authors objects from latimes.com. All fields typed and schema-versioned.
"author_id": "auth_84921", "name": "Jane Doe", "profile_url": "https://www.latimes.com/people/jane-doe", "role": "Staff Writer", "twitter_handle": "@janedoe_lat", "article_count": 342, "bio": "Jane covers environmental policy in Sacramento."
| # | author_id | name | profile_url | role | twitter_handle | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Sections objects from latimes.com. All fields typed and schema-versioned.
"section_name": "Politics", "parent_section": "California", "url": "https://www.latimes.com/california/politics", "trending_rank": 2, "article_count": 4821, "last_updated": "2026-04-12T15:00:00Z"
| # | section_name | parent_section | url | top_headlines | trending_rank | article_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Comments objects from latimes.com. All fields typed and schema-versioned.
"comment_id": "cmt_994821", "article_url": "https://www.latimes.com/california/story/example-news", "user_name": "CaliResident99", "timestamp": "2026-04-12T16:45:12Z", "comment_text": "This policy is long overdue.", "upvotes": 42, "replies": 3, "is_flagged": false
| # | comment_id | article_url | user_name | user_id | timestamp | comment_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from latimes.com. All fields typed and schema-versioned.
"keyword": "drought restrictions", "page_number": 1, "result_rank": 3, "headline": "City announces new drought rules", "url": "https://www.latimes.com/local/story/drought", "date": "2026-03-10", "author": "John Smith"
| # | keyword | page_number | result_rank | headline | url | snippet |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline handles the Los Angeles Times architecture: metered paywalls, dynamic comment loading, infinite scroll sections, and strict bot mitigation systems.
Extract headline, subhead, body text, and word count. We clean out inline advertisements and related story widgets.
Capture byline matching, social handles, email addresses, and biographical text from author profile pages.
Extract section assignments, tags, keywords, and exact publication timestamps for temporal analysis.
Store high-resolution image URLs, video metadata, and editorial captions embedded within the article body.
Paginate through user comments capturing display names, timestamps, upvote counts, and nested replies.
Flag premium versus free content and navigate metered paywall limits using automated session rotation.
Traverse XML sitemaps and historical indexes to compile datasets spanning years of publication history.
Configure streaming pipelines to poll front pages and RSS feeds for breaking news at sub-minute latency.
Track front page and category layout changes to determine editorial placement and story prominence.
Handle Single Page Application elements and lazy-loaded assets using headless browser execution.
Brief in. Clean data out.
Provide section URLs, keyword sets, or author lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for latimes.com.
Schema validation, null-rate checks, and structure normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
News sites like latimes.com deploy strict rate limits and geographic blocks. Here is how we maintain steady extraction.
Publishers use cookie tracking and local storage to enforce metered paywalls. Our crawlers isolate sessions per request and clear state automatically, ensuring consistent access to metered articles without triggering blocks.
Many US publishers serve degraded experiences or strict consent walls to European IP addresses. We route all requests through US-based residential proxies to access the native site structure.
Comment sections and high-resolution media often load asynchronously via JavaScript. We execute full browser sessions to trigger these network requests and capture the resulting DOM.
Instead of relying solely on front-page scraping, we monitor XML sitemaps to detect newly published articles the second they go live, reducing latency and compute overhead.
Opinion pieces, interactive features, and standard news articles use different HTML templates. Our extraction logic normalises these variants into a single, predictable schema.
PR firms and corporate communications teams track brand mentions, executive quotes, and coverage sentiment.
Machine learning teams use high-quality editorial text to train language models and improve factual grounding.
Researchers analyse public opinion by extracting and evaluating comment threads on controversial topics.
Other publishers track article velocity, topic selection, and author output to benchmark editorial strategy.
Universities study political coverage, bias, and historical trends by querying large textual archives.
Hedge funds extract local market trends, real estate developments, and corporate news affecting California-based equities.
"The Los Angeles Times archive represents a massive, unstructured corpus of Californian and global history. Turning it into queryable rows requires specialized infrastructure."
Extracting data from major publishers involves bypassing sophisticated CDN-level bot protection, standardising highly variable article templates, and managing metered paywall states. DataFlirt abstracts this complexity so your data science teams receive clean, structured text ready for NLP pipelines.
Everything supported by our latimes.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. Rotation happens per request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda and 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 latimes.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available factual data is generally permissible. However, copyright law protects the creative expression in articles. Clients typically use this data for internal analysis, text and data mining, or NLP training under fair use principles. We do not provide legal advice; consult your counsel regarding your specific use case.
We manage metered paywalls by isolating sessions and rotating IP addresses, allowing us to read publicly accessible metered content. We do not bypass hard paywalls that require a paid subscription.
Yes. We can configure streaming pipelines to monitor RSS feeds, sitemaps, and front pages, delivering new articles within minutes of publication.
Yes. We execute JavaScript to load the comment modules and paginate through the threads, capturing usernames, timestamps, text, and nested replies.
We can traverse the site's historical sitemaps and archive pages to extract articles dating back to the start of their digital records, subject to availability.
By default, we extract the high-resolution URLs and metadata for media assets to keep delivery payloads small. Direct binary download to your S3 bucket can be configured upon request.
20-minute scoping call. Pilot dataset within the week. Production within two. Need a daily feed of California politics or a one-off archive dump of entertainment news? We scope, build, and operate the pipeline.
