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Jomashop Scraper

Pricing

$12.00/month + usage

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Jomashop Scraper

Jomashop Scraper

Developed by

GetDataForMe

GetDataForMe

Maintained by Community

A web scraper for Jomashop.com can be designed to extract detailed product information efficiently. Jomashop is a prominent e-commerce platform specializing in luxury goods such as watches, handbags, and accessories. The primary goal of such a scraper would be to collect product details.

0.0 (0)

Pricing

$12.00/month + usage

0

Total users

2

Monthly users

1

Runs succeeded

>99%

Last modified

3 days ago

You can access the Jomashop 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "urls": ["https://www.jomashop.com/igi-certified-14k-yellow-gold-1-2-cttw-4-prong-set-princess-cut-solitaire-diamond-push-back-stud-earrings-l-m-color-i1-i2-clarity-021206yigi.html"],
10 "proxyConfiguration": {
11 "useApifyProxy": True,
12 "apifyProxyGroups": ["RESIDENTIAL"],
13 },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("getdataforme/my-jomashop-actor").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Jomashop Scraper API in Python

The Apify API client for Python is the official library that allows you to use Jomashop Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include: