We extract real-time ticker pricing, historical financials, insider trades, and breaking news from MarketWatch. 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 Equities & Tickers objects from marketwatch.com. All fields typed and schema-versioned.
"symbol": "AAPL", "current_price": 185.92, "percent_change": 1.24, "volume": 54201934, "market_cap": 2940000000000, "pe_ratio": 28.4
| # | symbol | company_name | exchange | current_price | price_change | percent_change |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Financial Statements objects from marketwatch.com. All fields typed and schema-versioned.
"symbol": "MSFT", "statement_type": "income_statement", "fiscal_year": 2023, "revenue": 211915000000, "net_income": 72361000000, "eps": 9.68
| # | symbol | statement_type | fiscal_year | revenue | gross_profit | operating_income |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Market News objects from marketwatch.com. All fields typed and schema-versioned.
"article_id": "MW-19482", "headline": "Fed signals rate cuts in 2024", "author": "Greg Robb", "publish_date": "2023-12-13T14:00:00Z", "ticker_tags": "['SPX', 'DJIA']", "source": "MarketWatch"
| # | article_id | headline | author | publish_date | ticker_tags | sector_tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Insider Trades objects from marketwatch.com. All fields typed and schema-versioned.
"symbol": "TSLA", "insider_name": "Elon Musk", "transaction_type": "Sell", "shares_traded": 10000, "price_per_share": 245.5, "total_value": 2455000
| # | symbol | insider_name | insider_title | transaction_date | transaction_type | shares_traded |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Analyst Ratings objects from marketwatch.com. All fields typed and schema-versioned.
"symbol": "NVDA", "average_rating": "Buy", "target_price": 650.0, "upgrades": 4, "downgrades": 0, "rating_date": "2024-01-15T09:30:00Z"
| # | symbol | average_rating | target_price | upgrades | downgrades | maintaining_firms |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our MarketWatch scraper handles every layer of the platform: real-time ticker pricing, historical financials, analyst ratings, and breaking news - with JavaScript rendering and anti-bot circumvention built in.
Capture live quotes, bid/ask spreads, and trading volume across US and international exchanges.
Extract income statements, balance sheets, and cash flow statements up to 5 years back.
Scrape full article text, author metadata, and ticker tags from MarketWatch news feeds.
Monitor Form 4 filings, executive buys/sells, and institutional ownership changes.
Track upcoming earnings calls, EPS estimates, reported EPS, and IPO dates.
Extract consensus ratings, price targets, and firm-specific upgrades/downgrades.
Scrape strike prices, expiration dates, implied volatility, and open interest.
Monitor macro trends, sector ETFs, and index movements in real time.
Extract 10-K, 10-Q, and 8-K links and summaries directly from ticker pages.
Brief in. Clean data out.
Provide ticker lists, news categories, or sector indices. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for marketwatch.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
MarketWatch invests heavily in scraping detection. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
Financial sites heavily rate-limit IP addresses. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to avoid IP bans.
MarketWatch relies on complex JavaScript for real-time charts and dynamic pricing widgets. We run Playwright sessions to hydrate these elements before extraction.
Financial statement layouts vary by sector. We maintain sector-specific selector chains to ensure accurate field mapping across banks, tech, and industrials.
For large ticker universes, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, missing tickers, and schema drift, responding before you notice.
Quant funds use real-time pricing and news sentiment data to feed algorithmic trading models.
Analysts aggregate historical financials and insider trades to build valuation models and sector reports.
NLP teams ingest MarketWatch article text and ticker tags to train market sentiment classifiers.
Wealth managers track real-time price movements, analyst downgrades, and earnings dates for client portfolios.
Risk teams monitor sector performance and options volatility to adjust exposure limits.
Data vendors combine MarketWatch insider trades with alternative datasets to sell institutional signals.
"MarketWatch provides critical real-time pricing and historical financials, but building reliable parsers for thousands of tickers requires dedicated infrastructure."
Financial data extraction requires precision. A single misaligned column in an income statement ruins the dataset. DataFlirt manages the proxy rotation, JavaScript rendering, and sector-specific schema variations so your quant teams can focus on alpha generation, not web scraping.
Everything supported by our marketwatch.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.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About marketwatch.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available financial data and news headlines from MarketWatch is generally permissible under applicable law. DataFlirt targets only public, non-authenticated market data. We do not extract paywalled MarketWatch Plus content.
We use residential ISP proxies and randomised request timing. Our infrastructure automatically rotates IPs upon detecting 429 Too Many Requests or CAPTCHA challenges.
Yes. We extract income statements, balance sheets, and cash flow statements for up to 5 prior fiscal years as displayed on the ticker pages.
For defined ticker lists, we can configure high-frequency pipelines polling at 1-minute to 5-minute intervals during market hours.
Yes, we extract the full article text, author metadata, publication timestamps, and associated ticker tags for public news articles.
Our monitoring systems detect 404s or redirects on ticker pages and alert our engineering team to update the target URLs in your pipeline.
Absolutely. We provide a sample run of up to 100 tickers or 50 news articles to validate schema fit and data quality before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need historical financials for 5,000 tickers or real-time news tracking - we scope, build, and operate the pipeline. Tell us what you need.
