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Monitoring Uniswap Swap Events: Managing Rate Throttling with Uniswap V2
![Ethereum: Monitor Uniswap Swap Events of Hundreds of Pairs Simultaneously 1 Ethereum: Monitor Uniswap Swap Events of hundreds of pairs concurrently](https://reviewdaidu.com/wp-content/uploads/2025/02/8162d2a7.png)
As a developer working with decentralized finance (DeFi) platforms, understanding and managing rate throttling is critical. A common issue when implementing complex monitoring solutions like our example is the rate throttling imposed by the InterPlanetary File System (IPFS) and Infura.
In this article, we will discuss how to monitor Uniswap swap events of hundreds of pairs at once while mitigating potential rate throttling issues using the Infura APIs.
Uniswap V2 API Overview
Before we dive into the solution, let’s quickly review the basics of the Uniswap V2 API. The Uniswap API provides endpoints for retrieving various information about swaps, including:
GET /swap_pairs
: Retrieves a list of available swap pairs.
GET
/swap_pair/{pair}: Retrieves detailed information about a given swap pair.
- GET /swap_events/{event_id}
: Retrieves the most recent swap event for a given ID.
The Infura Rate Throttling Issue
Infura, an online platform that provides free and paid storage for IoT, blockchain, and other decentralized application (dApp) data services, uses IPFS to store and serve assets. As a result, it introduces rate throttling on public endpoints, such as the Uniswap V2 API, for the following reasons:
- IPFS Storage: The Uniswap API stores swap events on IPFS, which does not scale for large-scale applications.
- Using Public Endpoints: Infura APIs can be accessed through a client-side application or a local proxy server. However, this limits the ability to monitor and process large amounts of data from multiple pairs simultaneously.
The Solution: Monitor Uniswap Swap Events in Bulk
To overcome these limitations, we can leverage the concept of batch processing to handle large amounts of swap events from multiple pairs. We will create a script that continuously monitors new swap events on different Uniswap V2 API endpoints and stores them in a database.
Here is an example in Python:
import requests
Set the API credentials (replace these with your actual Infura API keys)api_key = 'YOUR_API_KEY'
api_secret = 'YOUR_API_SECRET'
Define Uniswap V2 API endpointsuniswap_v2_endpoints = [
"
Replace with your project ID and API key'
Replace with a different project ID and API key]
Define the swap event endpoint for bulk processingbulk_process_endpoint = '
def monitor_uniswap_swap_events():
for uniswap_v2_endpoints pair:
response = requests.get(f'{pair}/swap_pairs')
data = response.json()
Process all swap eventsin data item ['items']:
if 'pair' is in item and item['pair'] is not in process_swap_events:
process_swap_event(item)
def process_swap_event(event):
Store the swap event in a database (e.g. MongoDB)process_swap_events.add(event['pair'])
if __name__ == '__main__':
monitor_uniswap_swap_events()
Use case example
To illustrate how this script works, let's say we want to monitor 100 Uniswap V2 API endpoints for swap events. We can modify the process_swap_eventfunction to store each event in a database:
“ python
import datetime
Specify the database connection settings (replace with the actual database credentials)
database_host = ‘your_database_host’
database_username = ‘your_database_username’
database_password = ‘your_database_password’
def process_swap_event(event):
Create a dictionary to represent the swap event in the database
database_event = {
‘timestamp’: datetime.datetime.
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![Ethereum: Monitor Uniswap Swap Events of Hundreds of Pairs Simultaneously 2](https://reviewdaidu.com/wp-content/uploads/2024/12/Rakesh-Kumar.png)
My name is Rakesh Kumar, and I am an author at Reviewdaidu.com. I write review articles and provide specific product reviews to help buyers make informed purchasing decisions.