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Lazada Scraper
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Pay $50.00 for 1,000 results
View all Actors![Lazada Scraper](https://images.apifyusercontent.com/ovmJrV1m11MmlerT3ChawPuMHmJ1ga9Ue1ub1hzcEOg/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vN1BiODFuN2dsUk91VnN3VWYvV3pLbTRNRzc0b1pianFXVVItbGF6YWRhLWJsYWNrLWxvZ28taWNvbi1wbmctNzAxNzUxNjk0OTY4NTk3Zmt2Y2Fhem8zcy5wbmc.webp)
![Lazada Scraper](https://images.apifyusercontent.com/ovmJrV1m11MmlerT3ChawPuMHmJ1ga9Ue1ub1hzcEOg/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vN1BiODFuN2dsUk91VnN3VWYvV3pLbTRNRzc0b1pianFXVVItbGF6YWRhLWJsYWNrLWxvZ28taWNvbi1wbmctNzAxNzUxNjk0OTY4NTk3Zmt2Y2Fhem8zcy5wbmc.webp)
Lazada Scraper
dtrungtin/lazada-scraper
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Pay $50.00 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.
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.lazada.co.id/beli-handphone/" }],
9 "maxPages": 2,
10 "proxyConfig": {
11 "useApifyProxy": True,
12 "apifyProxyGroups": ["RESIDENTIAL"],
13 "apifyProxyCountry": "US",
14 },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("dtrungtin/lazada-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 20 monthly users
- 1 star
- 100.0% runs succeeded
- Created in Jul 2023
- Modified 21 days ago
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