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Lazada Scraper

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Lazada Scraper

Lazada Scraper

dtrungtin/lazada-scraper
Try for free

Pay $99.00 for 1,000 results

Unofficial Lazada API to extract data from Lazada based on keywords or categories. Scrape prices, product descriptions, images, location, availability, brand, and more. Download extracted data in structured format and use it in reports, spreadsheets, databases, and applications.

You can access the Lazada Scraper programmatically from your own Python 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    "startUrls": [{ "url": "https://www.lazada.co.id/beli-handphone/" }],
10    "maxPages": 2,
11    "proxyConfig": {
12        "useApifyProxy": True,
13        "apifyProxyGroups": ["RESIDENTIAL"],
14        "apifyProxyCountry": "US",
15    },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("dtrungtin/lazada-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Lazada Scraper API in Python

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

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 19 monthly users

  • 3 stars

  • >99% runs succeeded

  • 0.89 hours response time

  • Created in Jul 2023

  • Modified 5 days ago

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