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Dexscreener Scraping

Dexscreener Scraping is an open-source Python bot that retrieves details for a specified DEX Screener token pair, identifies top traders for that pair and tracks activity from their wallets.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Dexscreener Scraping — OpenViST project profile in Exchanges & Trading.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want to build a pair-specific monitoring workflow from Python and can provide the documented external-service credentials, MongoDB connection and Telegram bot token.

Who it is for

  • Developers who want to configure a Python bot for monitoring a selected DEX token pair.
  • Users who need to track wallets identified as top traders for that pair.

Documented uses

  • Retrieve a pair address, liquidity and total supply for a selected token pair.
  • Identify top traders associated with the pair and track their wallet activity.
  • Configure Telegram and MongoDB components for the monitoring workflow.
Before you choose

Requirements & limits

The project is available as a public GitHub repository with source-code cloning instructions.

  • The README requires Python 3.10 or higher.
  • Setup calls for API keys for ScraperAPI, Bitquery, Cielo and Etherscan, as well as MongoDB and Telegram credentials.
  • The documented workflow centers on a specific token pair; multi-pair scheduling is not described.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare the bot's local environment

Set up the documented Python environment and configuration before running the bot.

Before you start

  • Python 3.10 or higher
  • API keys for the listed services
  • A MongoDB URL and Telegram bot token

Steps

  1. Clone the repository and change into its project directory.

  2. Create a .env file in the project root and enter the documented API keys, MongoDB URL and Telegram bot token.

  3. Create and activate a Python virtual environment.

  4. Install requests, python-dotenv, pymongo and websocket-client.

Expected outcome

The documented local dependencies and environment variables are prepared for the bot's run stage.

Guide limitations

  • The README does not describe how to obtain the required credentials.
  • The setup instructions do not document pair selection or the bot's output and monitoring controls.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
17 October 2026
Original website title
greengod63/DexScreener-Scraping · Official homepage title · retained in its source language
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