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Dexscreener Scraper: Token Price, Liquidity, Volume & Rug Risk

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Dexscreener token reports for any crypto token or meme coin: price, market cap, liquidity, volume and buys vs sells (5m to 24h), pair age and rug-risk flags. Plus trending, newly boosted and community-takeover tokens and hot narratives. No API key.

Pricing

from $20.00 / 1,000 reports

Rating

0.0

(0)

Developer

Mariam Ahmed

Actor stats

Bookmarked

Total users

Monthly active users

18 days ago

Last modified

Categories

Business

Automation

You can access the Dexscreener Scraper: Token Price, Liquidity, Volume & Rug Risk programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "tokens": [
10        "BONK",
11        "https://dexscreener.com/solana/8sLbNZoA1cfnvMJLPfp98ZLAnFSYCFApfJKMbiXNLwxj",
12    ],
13    "discover": ["trending"],
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("precious_bathmat/dexscreener-token-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
21for item in client.dataset(run.default_dataset_id).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Dexscreener Scraper: Token Price, Liquidity & Rug Risk API in Python

The Apify API client for Python is the official library that allows you to use Dexscreener Scraper: Token Price, Liquidity, Volume & Rug Risk API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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