In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Create custom CoinGecko and OCRSpace workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Candlestick
Get a candlestick open-high-low-close chart for the selected currency
Get
Get current data for a coin
Get Many
Get many coins
History
Get historical data (name, price, market, stats) at a given date for a coin
Market
Get prices and market related data for all trading pairs that match the selected currency
Market Chart
Get historical market data include price, market cap, and 24h volume (granularity auto)
Price
Get the current price of any cryptocurrencies in any other supported currencies that you need
Ticker
Get coin tickers
Get Many
Get many events
Create OCR
Provides a simple way of parsing images and multi-page PDF documents to get the extracted text results in JSON format.
Parse image/PDF
Parses the provided image or PDF for OCR processing.
Create image
The API endpoint for parsing images via URL.
Parse image
Provide image/PDF to be OCR'ed via URL.
List image URLs
The API endpoint for parsing images from a URL.
Create searchable PDF
Generates a searchable PDF from the OCR result.
To set up OCRSpace integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to OCRSpace to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the OCRSpace official documentation to get a full list of all API endpoints and verify the scraped ones!
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