![Nordstrom Scraper avatar](https://images.apifyusercontent.com/qiB88pi9_eNljoaZ1rt7mSDu_OPCSPkqV2ytXs_zFU0/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS82YVI0M3VjdHprdjg5ZUdKeS9xRTh0enVSSFBEYUM4WGVCOS1ub3Jkc3Ryb20ucG5n.webp)
Nordstrom Scraper
Under maintenanceTry for free
Pay $5.00 for 1,000 products
View all Actors![Nordstrom Scraper](https://images.apifyusercontent.com/qiB88pi9_eNljoaZ1rt7mSDu_OPCSPkqV2ytXs_zFU0/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS82YVI0M3VjdHprdjg5ZUdKeS9xRTh0enVSSFBEYUM4WGVCOS1ub3Jkc3Ryb20ucG5n.webp)
This Actor is under maintenance.
This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?
See alternative Actors![Nordstrom Scraper](https://images.apifyusercontent.com/qiB88pi9_eNljoaZ1rt7mSDu_OPCSPkqV2ytXs_zFU0/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS82YVI0M3VjdHprdjg5ZUdKeS9xRTh0enVSSFBEYUM4WGVCOS1ub3Jkc3Ryb20ucG5n.webp)
Nordstrom Scraper
trudax/actor-nordstrom-scraper
Try for free
Pay $5.00 for 1,000 products
Nordstrom web scraper to crawl product information including price and sale price, color, and images. Extract all data in a dataset in multiple formats.
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 "search": "Jeans",
9 "country": "United States",
10 "maxItems": 2,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("trudax/actor-nordstrom-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 7 monthly users
- 3 stars
- 100.0% runs succeeded
- 13 days response time
- Created in Dec 2019
- Modified 4 months ago
Categories