Scrape opensea floor prices with python cloudscraper package

scrape_opensea_floor_prices.py

import cloudscraper
import json

def filter_typename(dict):
  return dict["__typename"] == "AssetQuantityType"

def filter_quantityInEth_exists(dict):
  if "quantityInEth" in dict:
    return True
  else:
    return False

def get_floor_price_in_eth(dict):
  return float(dict["quantity"]) / 1000000000000000000

def get_floor_prices(slug):
  scraper = cloudscraper.create_scraper(
    browser={
      'browser': 'chrome',
      'platform': 'android',
      'desktop': False
    }
  )
  url = "https://opensea.io/collection/{}?search[sortAscending]=true&search[sortBy]=PRICE&search[toggles][0]=BUY_NOW".format(slug);
  html = scraper.get(url).text
  json_string = html.split("</script>",2)[0].split("window.__wired__=",2)[1]
  data = json.loads(json_string)
  data_values = data["records"].values() # get all values type...
  data_list = [*data_values] # convert to list =~ array in js
  data_list = list(filter(filter_typename, data_list))
  data_list = list(filter(filter_quantityInEth_exists, data_list))
  data_list = list(map(get_floor_price_in_eth, data_list))
  return data_list


# scraping floor prices from opensea
print("RUNNING FOR cool-cats-nft")
print(get_floor_prices("cool-cats-nft"))
print("RUNNING FOR treeverse")
print(get_floor_prices("treeverse"))

Oh ok, well, you for sure can get it through scraping, probably I would do the following:

• open the url with the activity tab open https://opensea.io/collection/sneaky-vampire-syndicate?tab=activity
• then scrape the table with the recent sales

Good luck with the challenge! 🚀💪

This works locally, cloudflare is bypassed. Unfortunately when deployed to any cloud it stopps working. I tried

take a look at https://rapidapi.com/restyler/api/scrapeninja it seems to work fine with opensea, at least with api.opensea graphql requests.