OLX Product Details Page Scraper (All Country Sites)
3 days trial then $20.00/month - No credit card required now
OLX Product Details Page Scraper (All Country Sites)
3 days trial then $20.00/month - No credit card required now
The OLX Product Details Page Scraper extracts detailed product data from all OLX country sites, including name, brand, price, rating, image URLs, and more, by providing product details page URLs.
You can access the OLX Product Details Page Scraper (All Country Sites) 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 "urls": ["https://www.olx.in/item/cars-c84-used-mercedes-benz-s-class-in-vile-parle-east-mumbai-iid-1789761878"],
10 "max_retries_per_url": 2,
11 "proxy": { "useApifyProxy": False },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("ecomscrape/olx-product-page-details-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
OLX Product Details Page Scraper (All Country Sites) API in Python
The Apify API client for Python is the official library that allows you to use OLX Product Details Page Scraper (All Country Sites) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
Actor Metrics
4 monthly users
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70% runs succeeded
Created in Jan 2025
Modified 3 days ago