We extract real-time quotes, historical price action, economic calendars, and analyst estimates from Investing.com. 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 & Quotes objects from investing.com. All fields typed and schema-versioned.
"ticker": "AAPL", "exchange": "NASDAQ", "current_price": 184.23, "currency": "USD", "volume": 4829104, "market_cap": "2.8T", "pe_ratio": 28.4, "beta": 1.28
| # | ticker | exchange | company_name | current_price | currency | open_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Historical Data objects from investing.com. All fields typed and schema-versioned.
"ticker": "EUR/USD", "date": "2023-10-24", "open": 1.0584, "high": 1.0621, "low": 1.057, "close": 1.0592, "volume": 84921, "asset_class": "forex"
| # | ticker | date | open | high | low | close |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Financial Statements objects from investing.com. All fields typed and schema-versioned.
"ticker": "TSLA", "statement_type": "Income Statement", "period_ending": "2023-12-31", "total_revenue": 96773000000, "gross_profit": 17660000000, "net_income": 14997000000, "currency": "USD"
| # | ticker | statement_type | period_ending | total_revenue | gross_profit | operating_income |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Economic Calendar objects from investing.com. All fields typed and schema-versioned.
"event_id": "ec_18492", "country": "United States", "event_name": "Nonfarm Payrolls", "importance": 3, "actual": "275K", "forecast": "198K", "previous": "229K"
| # | event_id | date | time | country | event_name | importance |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for News & Analysis objects from investing.com. All fields typed and schema-versioned.
"article_id": "news_849210", "headline": "Fed leaves rates unchanged", "author": "Investing.com", "publish_date": "2024-03-20T18:00:00Z", "category": "Central Banks", "related_tickers": "['EUR/USD', 'SPX']", "source": "Reuters"
| # | article_id | headline | author | publish_date | related_tickers | category |
|---|---|---|---|---|---|---|
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Our market data scraper handles every layer of the portal: live quotes, economic calendars, historical price action, and financial statements, with Cloudflare circumvention built in.
Extract live quotes, market cap, volume, and technical summaries across 80 global exchanges.
Capture bid/ask spreads, daily ranges, and historical tick data for major and exotic pairs.
Monitor macro events, central bank decisions, and employment reports with actual versus forecast diffs.
Standardised extraction of income statements, balance sheets, and cash flow reports spanning multiple years.
Pull daily, weekly, or monthly OHLCV data for any asset class with adjusted close values.
Archive market commentary, breaking news, and analyst opinion pieces linked to specific tickers.
Scrape moving averages, RSI, MACD, and pivot points directly from technical summary panels.
Track energy, metals, and agricultural futures contracts with expiration dates and rollover data.
Monitor upcoming EPS and revenue announcements, consensus estimates, and historical surprise percentages.
Hash-based diffing ensures downstream systems only process new or updated market data records.
Brief in. Clean data out.
Provide ticker lists, asset classes, or calendar regions. We design the extraction schema together.
We configure Scrapy crawlers, session management, and anti-bot circumvention for investing.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.
Financial portals invest heavily in scraping detection. Here is how we stay resilient, and why teams choose managed infrastructure over DIY.
Investing.com uses Cloudflare and custom rate-limiting. Our crawlers use residential ISP proxies with realistic browser fingerprints and TLS spoofing to maintain access without triggering blocks.
Live pricing relies on websockets and background XHR requests. We intercept these streams directly to capture tick-level updates without the overhead of full DOM rendering.
Data formats and available assets change based on the regional subdomain. We force specific locale headers to ensure consistent currency and timezone outputs across all records.
Financial portals update their DOM layout frequently. We use multiple fallback chains per field, targeting raw JSON objects in the page source before falling back to CSS selectors.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, stale quotes, and coverage drops, ensuring data integrity before it reaches your warehouse.
Quant funds ingest historical OHLCV and real-time quotes to backtest and execute trading strategies.
Economists track the Economic Calendar to model interest rate impacts and FX volatility.
NLP models process the Investing.com news corpus to gauge market sentiment on specific equities.
Asset managers consolidate global equity and bond data to monitor portfolio exposure and risk metrics.
Data vendors blend analyst estimates with proprietary datasets to build custom indicators for retail investors.
Corporate finance teams track peer group financial statements and valuation multiples across multiple regions.
"Investing.com aggregates the deepest cross-asset financial data available publicly, but standardising it across 80 exchanges requires dedicated extraction infrastructure."
Financial data decays in milliseconds. Building a reliable pipeline requires intercepting background data streams, managing regional locale settings, and bypassing aggressive Cloudflare protection. DataFlirt handles the extraction layer so your quants and analysts can focus on signal generation.
Everything supported by our investing.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.
Playwright intercepts underlying XHR and websocket connections, bypassing the DOM entirely to capture raw financial data payloads with minimal latency.
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 investing.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Investing.com is generally permissible under applicable law. DataFlirt targets only public, non-authenticated market data and news. We do not extract personal data or circumvent authentication walls for premium content.
We use residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and request timing modelled on human behaviour. CapSolver handles any interactive challenges automatically.
Real-time pipelines can achieve sub-second latency depending on the asset and exchange. Standard batch runs for historical data or financial statements operate at a daily or hourly cadence.
Yes. We can extract daily, weekly, and monthly historical price action for equities, forex, crypto, and commodities, going back as far as Investing.com provides the data.
Yes. We force regional locales to extract data from NSE, LSE, TSE, and 80 other global exchanges, ensuring the currency and timezone data is accurate.
We extract all events, actuals, forecasts, revisions, and importance ratings. This can be delivered as a continuous feed or a daily batch.
No. We do not scrape authenticated or paywalled InvestingPro metrics, such as proprietary health scores or fair value estimates.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily dump of global equities or a continuous feed of the economic calendar, we build and operate the infrastructure. Tell us your target assets.
