
What is Scrapy?
Scrapy is a powerful Python-based framework for web scraping and data extraction. Designed for speed and scalability, Scrapy helps developers crawl websites and collect structured data efficiently. By integrating Toolip proxies into Scrapy, you can enhance your scraping tasks with secure, anonymous, and geo-targeted connections.Targeting search engines like Google, Bing, or Yandex requires a specialized proxy to ensure stable access and avoid blocks. Toolip’s Search Engine ISP Proxies are designed specifically for this, providing reliable performance where standard proxies may fail. If your proxy test isn’t working on search engines, switching to Search Engine ISP Proxies can resolve the issue.
How to Set Up and Start a Scrapy Project
1
Install Prerequisites
1. Install Python: Download and install the latest version from python.org.2. Install Scrapy: Open your terminal and run:
2
Retrieve Toolip Proxy Credentials
Log in to your Toolip dashboard and retrieve your proxy details (Host, Port, Username, and Password).If using geo-specific proxies, format your username as
your-username-country-XX
(e.g., your-username-country-US
for a US-based proxy).3
Create a Scrapy Project
1. Open a terminal and create a new Scrapy project by running:2. Navigate into the project folder:
4
Generate a Scrapy Spider
1. Run the following command to create a spider:2. This will generate a spider template inside
spiders/ToolipExample.py
.5
Configure Toolip Proxy
Open Replace
spiders/ToolipExample.py
and modify it as follows:[USERNAME]
, [PASSWORD]
, [HOST]
, and [PORT]
with your Toolip proxy credentials.6
Run the Scrapy Spider
1. Navigate to your Scrapy project directory:2. Start the spider:3. To save results to a file, use:
7
Verify Proxy Integration
1. Check if the spider successfully scrapes an IP address from Toolip proxies.2. Example output:3. If you saved the output, open
output.json
to inspect the results.