![Olx India Scraper avatar](https://images.apifyusercontent.com/KgE0sKh5XZIZve8YpSvyT8cQYAV64JRhpIaD3C7UCrU/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vUTdHaHFCdlRrSU1jWGRmUGMvN2kxZ2FSM21rbDBKTmlKWXktdW5uYW1lZF8lMjgxJTI5LnBuZw.webp)
Olx India Scraper
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View all Actors![Olx India Scraper](https://images.apifyusercontent.com/KgE0sKh5XZIZve8YpSvyT8cQYAV64JRhpIaD3C7UCrU/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vUTdHaHFCdlRrSU1jWGRmUGMvN2kxZ2FSM21rbDBKTmlKWXktdW5uYW1lZF8lMjgxJTI5LnBuZw.webp)
![Olx India Scraper](https://images.apifyusercontent.com/KgE0sKh5XZIZve8YpSvyT8cQYAV64JRhpIaD3C7UCrU/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vUTdHaHFCdlRrSU1jWGRmUGMvN2kxZ2FSM21rbDBKTmlKWXktdW5uYW1lZF8lMjgxJTI5LnBuZw.webp)
Olx India Scraper
natanielsantos/olx-india-scraper
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Scrape ads data from olx.in with this powerful tool. You can use it to extract title, price, images, description, and more. Download your data as HTML table, JSON, CSV, Excel, XML, and RSS feed.
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.olx.in/kerala_g2001160/motorcycles_c81" }],
9 "maxItemsPerUrl": 300,
10 "proxySettings": { "useApifyProxy": True },
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("natanielsantos/olx-india-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 5 monthly users
- 1 star
- 100.0% runs succeeded
- Created in Nov 2023
- Modified 9 months ago
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