Ruggable Scraper avatar
Ruggable Scraper
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Ruggable Scraper

Ruggable Scraper

mshopik/ruggable-scraper

Scrape Ruggable and extract data on rugs and carpets from ruggable.com. Our Ruggable API lets you crawl product information and pricing. The saved data can be downloaded as HTML, JSON, CSV, Excel, and XML.

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more

Node.js

Python

curl

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "maxRequestsPerCrawl": 20,
9    "extendOutputFunction": """async ({ data, item, product, images, fns, name, request, variants, context, customData, input, Apify }) => {
10  return item;
11}""",
12    "extendScraperFunction": """async ({ fns, customData, Apify, label }) => {
13 
14}""",
15    "customData": {},
16    "maxConcurrency": 20,
17    "maxRequestRetries": 3,
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("mshopik/ruggable-scraper").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
25for item in client.dataset(run["defaultDatasetId"]).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
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