Draper James Scraper
Pricing
Pay per usage
Draper James Scraper
Scrape Draper James and extract data on apparel from draperjames.com. Our Draper James API lets you crawl product information and pricing. The saved data can be downloaded as HTML, JSON, CSV, Excel, and XML.
0.0 (0)
Pricing
Pay per usage
1
Total users
1
Monthly users
1
Runs succeeded
>99%
Last modified
3 years ago
You can access the Draper James Scraper programmatically from your own 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "maxRequestsPerCrawl": 20,10 "extendOutputFunction": """async ({ data, item, product, images, fns, name, request, variants, context, customData, input, Apify }) => {11 return item;12}""",13 "extendScraperFunction": """async ({ fns, customData, Apify, label }) => {14 15}""",16 "customData": {},17 "maxConcurrency": 20,18 "maxRequestRetries": 3,19}20
21# Run the Actor and wait for it to finish22run = client.actor("mshopik/draper-james-scraper").call(run_input=run_input)23
24# Fetch and print Actor results from the run's dataset (if there are any)25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])26for item in client.dataset(run["defaultDatasetId"]).iterate_items():27 print(item)28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Draper James Scraper API in Python
The Apify API client for Python is the official library that allows you to use Draper James Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-client
Other API clients include: