A robust headless browser scraper designed to crawl dynamic websites and extract official exchange rate data with high accuracy. It automates complex page interactions and delivers structured results suitable for analytics, reporting, and integrations.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project provides a configurable web scraping solution built on a headless browser engine to collect official rate information from dynamic web pages. It solves the challenge of extracting data from JavaScript-heavy sites where static HTML scraping fails. It is intended for developers, analysts, and data teams who need reliable financial data extraction.
- Handles JavaScript-rendered pages using a full browser environment
- Supports recursive crawling and controlled link discovery
- Allows authenticated sessions for restricted pages
- Produces clean, structured datasets ready for export
| Feature | Description |
|---|---|
| Headless browser crawling | Loads and processes fully rendered web pages accurately. |
| Recursive navigation | Automatically follows allowed links to discover additional data pages. |
| Login support | Accesses authenticated content using session handling. |
| Custom page logic | Executes tailored JavaScript to extract precise data fields. |
| Configurable crawling rules | Controls depth, URL patterns, and navigation behavior. |
| Field Name | Field Description |
|---|---|
| source_url | URL of the page where the data was collected. |
| rate_value | Extracted official exchange rate value. |
| currency | Currency code associated with the rate. |
| published_date | Date the rate was published on the site. |
| timestamp | Unix timestamp of data extraction. |
[
{
"source_url": "https://example.com/rates",
"rate_value": 36.45,
"currency": "USD",
"published_date": "2025-01-10",
"timestamp": 1736492400
}
]
bcv-tasa-oficial/
βββ src/
β βββ index.js
β βββ crawler.js
β βββ extractors/
β β βββ rateExtractor.js
β βββ utils/
β β βββ browserConfig.js
β βββ config/
β βββ settings.example.json
βββ data/
β βββ sample-input.json
β βββ sample-output.json
βββ package.json
βββ README.md
- Financial analysts use it to collect official exchange rates, so they can maintain accurate market reports.
- Backend developers use it to automate rate ingestion, so they can keep systems synchronized with official data.
- Data engineers use it to build historical datasets, so they can analyze currency trends over time.
- Product teams use it to power pricing tools, so they can reflect real-world rate changes quickly.
Does this scraper work on JavaScript-heavy websites? Yes, it uses a full headless browser environment that executes client-side scripts before data extraction.
Can it crawl multiple pages automatically? Yes, it supports recursive crawling with configurable URL rules to control which pages are visited.
Is authentication supported? Yes, login flows can be handled using session management and custom navigation logic.
How is the output structured? Each extracted record is stored as a structured object with metadata such as source URL and timestamps.
Primary Metric: Processes an average of 25β40 fully rendered pages per minute on standard configurations.
Reliability Metric: Maintains a successful extraction rate above 97% on stable target sites.
Efficiency Metric: Optimized browser reuse minimizes CPU and memory overhead during long runs.
Quality Metric: Consistently captures complete rate values with validated numeric precision across runs.
