Opensea Collection Data Scraper
Try for free
1 day trial then $10.00/month - No credit card required now
View all Actors
Opensea Collection Data Scraper
argusapi/opensea-collection-data-scraper
Try for free
1 day trial then $10.00/month - No credit card required now
Quickly collect data, such as volume, floor and social links from an Opensea collection
You can access the Opensea Collection Data Scraper programmatically from your own Python 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 Integrations settings in Apify Console.
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 "openseaCollectionURLs": [
10 "https://opensea.io/collection/boredapeyachtclub",
11 "https://opensea.io/collection/mutant-ape-yacht-club",
12 ],
13 "proxies": { "useApifyProxy": False },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("argusapi/opensea-collection-data-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startOpensea Collection Data Scraper API in Python
The Apify API client for Python is the official library that allows you to use Opensea Collection Data Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Developer
ArgusAPIMaintained by Community
Actor metrics
- 3 monthly users
- 1 star
- 100.0% runs succeeded
- Created in Feb 2023
- Modified almost 2 years ago
Categories
