We extract financial news, analyst ratings, earnings calendars, options activity, and market movers from Benzinga. 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 News Articles objects from benzinga.com. All fields typed and schema-versioned.
"article_id": "BZ-129481", "title": "Tesla Q3 Deliveries Beat Estimates", "tickers": "['TSLA']", "categories": "['News', 'Earnings']", "publish_date": "2023-10-02T13:30:00Z", "author": "Market Desk"
| # | article_id | url | title | author | publish_date | updated_date |
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Complete list of extractable fields for Analyst Ratings objects from benzinga.com. All fields typed and schema-versioned.
"ticker": "NVDA", "brokerage": "Morgan Stanley", "action": "Maintains", "current_rating": "Overweight", "price_target": 150.0, "date": "2023-11-15"
| # | ticker | company_name | analyst_name | brokerage | action | current_rating |
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Complete list of extractable fields for Earnings Calendar objects from benzinga.com. All fields typed and schema-versioned.
"ticker": "AAPL", "earnings_date": "2023-11-02", "earnings_time": "After Market Close", "estimated_eps": 1.39, "quarter": "Q4", "company_name": "Apple Inc."
| # | ticker | company_name | earnings_date | earnings_time | estimated_eps | actual_eps |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Options Activity objects from benzinga.com. All fields typed and schema-versioned.
"ticker": "AMD", "option_type": "Call", "strike_price": 120.0, "expiration_date": "2023-12-15", "volume": 5400, "sentiment": "Bullish"
| # | ticker | option_type | strike_price | expiration_date | volume | open_interest |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Market Movers objects from benzinga.com. All fields typed and schema-versioned.
"ticker": "PLTR", "session": "Pre-Market", "price": 18.5, "change_pct": 12.4, "volume": 1250000, "sector": "Technology"
| # | ticker | company_name | session | price | change_abs | change_pct |
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Our Benzinga scraper handles every layer of the platform. We extract news feeds, analyst upgrades, earnings calendars, and options flow with sub-minute latency and built-in ticker normalisation.
Capture full article text, author metadata, publication timestamps, and tagged tickers across all Benzinga news categories.
Extract daily upgrades, downgrades, price target changes, and initiation reports with brokerage and analyst attribution.
Scrape scheduled earnings dates, EPS estimates, revenue forecasts, and post-release surprise percentages.
Monitor block trades, sweep orders, sentiment indicators, and premium paid for large options contracts.
Track price action, volume spikes, and associated news catalysts outside standard trading hours.
Map all extracted news and ratings to standard stock tickers for immediate relational database joins.
Extract altcoin news, Bitcoin price movements, and blockchain industry developments from dedicated crypto sections.
Push critical news alerts and ratings changes via webhook within milliseconds of publication.
Paginate through years of archived articles and ratings to build comprehensive training datasets for machine learning models.
Brief in. Clean data out.
Provide target data types, frequency requirements, and historical backfill needs. We map the extraction schema.
We configure Scrapy and Playwright crawlers, implement proxy rotation, and bypass rate limits for benzinga.com.
Schema validation, null-rate checks, and ticker mapping verification before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or delivered via Webhook on your schedule.
Financial publishers invest heavily in rate limiting and dynamic rendering. Here is how we stay resilient.
Benzinga restricts aggressive IP polling. We distribute requests across a vast residential proxy network, normalising request headers to mimic standard retail browser traffic.
Many earnings and options tables rely on client-side rendering. We execute full Playwright browser sessions to hydrate data before extraction.
We manage automated session resets and cookie clearing to bypass soft paywalls, ensuring uninterrupted access to full article text.
Financial publishers frequently update site structures to serve new ad formats. Our selectors use multiple fallback chains targeting internal API endpoints and JSON-LD data.
News ages fast. We deploy geographically distributed crawler nodes to minimise network latency, pushing data via webhook the moment an article goes live.
Quantitative funds ingest real-time news and analyst ratings to trigger automated execution algorithms based on sentiment analysis.
Traders monitor earnings calendars and pre-market movers to position portfolios ahead of major corporate announcements.
Machine learning teams train natural language processing models on years of historical Benzinga articles to score market sentiment.
Analysts track unusual options activity and retail-focused news to gauge retail investor positioning and potential short squeezes.
Quants utilise historical analyst price targets and subsequent stock performance to evaluate brokerage accuracy over time.
Financial platforms aggregate Benzinga news feeds to supplement their own user dashboards and market research tools.
"Benzinga generates high-velocity market signals and analyst updates that drive retail and institutional flow, but ingesting this unstructured text requires dedicated pipeline engineering."
Most financial data teams underestimate the investment required. Reliable Benzinga extraction requires circumventing soft paywalls, rendering dynamic financial widgets, mapping complex ticker relationships, and maintaining sub-minute latencies. DataFlirt absorbs that complexity so your quants can focus on alpha generation, not web infrastructure.
Everything supported by our benzinga.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 across US regions. 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 benzinga.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available factual data, such as news headlines and analyst ratings, is generally permissible under applicable law. DataFlirt targets only public, non-authenticated sections of benzinga.com. We do not bypass strict authentication walls for Benzinga Pro. Clients should review Benzinga terms of service and consult legal counsel.
We utilise residential ISP proxies and request timing modelled on human behaviour. Our infrastructure distributes requests across thousands of IPs to maintain high-frequency polling without triggering automated blocks.
For active monitoring pipelines, we achieve sub-minute latency from publication to webhook delivery. This is critical for event-driven algorithmic trading strategies.
Yes. We can paginate through historical rating archives to build comprehensive datasets for backtesting models and evaluating analyst accuracy.
No. We focus exclusively on publicly accessible data. We do not extract proprietary data, live audio squawk feeds, or exclusive options scanners gated behind Benzinga Pro subscriptions.
Our minimum engagement starts at a defined daily extraction volume, typically covering core news feeds and analyst ratings. We price based on data volume and latency requirements. Contact us for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive dump or a continuous real-time news feed, we scope, build, and operate the pipeline. Tell us what you need.
