Olx Scraper
3 hours trial then $25.00/month - No credit card required now
Olx Scraper
3 hours trial then $25.00/month - No credit card required now
The OLX Scraper is an Apify actor designed to extract detailed data from olx.com. Customize inputs like item limit, price range, and search query. Get comprehensive JSON outputs with listing details, images, prices, and more. Ideal for precise and efficient data scraping.
Python Scrapy template
A template example built with Scrapy to scrape page titles from URLs defined in the input parameter. It shows how to use Apify SDK for Python and Scrapy pipelines to save results.
Included features
- Apify SDK for Python - a toolkit for building Apify Actors and scrapers in Python
- Input schema - define and easily validate a schema for your Actor's input
- Request queue - queues into which you can put the URLs you want to scrape
- Dataset - store structured data where each object stored has the same attributes
- Scrapy - a fast high-level web scraping framework
How it works
This code is a Python script that uses Scrapy to scrape web pages and extract data from them. Here's a brief overview of how it works:
- The script reads the input data from the Actor instance, which is expected to contain a
start_urlskey with a list of URLs to scrape. - The script then creates a Scrapy spider that will scrape the URLs. This Spider (class
TitleSpider) is storing URLs and titles. - Scrapy pipeline is used to save the results to the default dataset associated with the Actor run using the
push_datamethod of the Actor instance. - The script catches any exceptions that occur during the web scraping process and logs an error message using the
Actor.log.exceptionmethod.
Resources
- Web scraping with Scrapy
- Python tutorials in Academy
- Alternatives to Scrapy for web scraping in 2023
- Beautiful Soup vs. Scrapy for web scraping
- Integration with Zapier, Make, Google Drive, and others
- Video guide on getting scraped data using Apify API
- A short guide on how to build web scrapers using code templates:
Getting started
For complete information see this article. To run the actor use the following command:
apify run
Deploy to Apify
Connect Git repository to Apify
If you've created a Git repository for the project, you can easily connect to Apify:
- Go to Actor creation page
- Click on Link Git Repository button
Push project on your local machine to Apify
You can also deploy the project on your local machine to Apify without the need for the Git repository.
-
Log in to Apify. You will need to provide your Apify API Token to complete this action.
apify login -
Deploy your Actor. This command will deploy and build the Actor on the Apify Platform. You can find your newly created Actor under Actors -> My Actors.
apify push
Documentation reference
To learn more about Apify and Actors, take a look at the following resources:
datawizardsActor Metrics
2 monthly users
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>99% runs succeeded
Created in Jan 2025
Modified 17 hours ago
