Shopify Scraper
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Shopify Scraper
pocesar/shopify-scraper
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Automate monitoring prices on the most popular solution for building online stores and selling products online. Crawl arbitrary Shopify-powered online stores and extract a list of all products in a structured form, including product title, price, description, etc.
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
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 "startUrls": [{ "url": "https://www.decathlon.com" }],
9 "maxRequestsPerCrawl": 10,
10 "proxyConfig": { "useApifyProxy": True },
11 "extendOutputFunction": """async ({ data, item, product, images, fns, name, request, variants, context, customData, input, Apify }) => {
12 return item;
13}""",
14 "extendScraperFunction": """async ({ fns, customData, Apify, label }) => {
15
16}""",
17 "customData": {},
18 "maxConcurrency": 10,
19 "maxRequestRetries": 3,
20}
21
22# Run the Actor and wait for it to finish
23run = client.actor("pocesar/shopify-scraper").call(run_input=run_input)
24
25# Fetch and print Actor results from the run's dataset (if there are any)
26print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
27for item in client.dataset(run["defaultDatasetId"]).iterate_items():
28 print(item)
29
30# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startDeveloper
Paulo CesarMaintained by Community
Actor metrics
- 85 monthly users
- 6 stars
- 98.2% runs succeeded
- 22 days response time
- Created in Jul 2021
- Modified about 1 year ago
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