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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.

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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:

pip install scrapy
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:

scrapy startproject myproject

2. Navigate into the project folder:

cd myproject
4

Generate a Scrapy Spider

1. Run the following command to create a spider:

scrapy genspider ToolipExample http://httpbin.org/ip

2. This will generate a spider template inside spiders/ToolipExample.py.

5

Configure Toolip Proxy

Open spiders/ToolipExample.py and modify it as follows:

import scrapy

class ToolipExampleSpider(scrapy.Spider):
    name = "ToolipExample"
    start_urls = ['http://httpbin.org/ip']

    def start_requests(self):
        # Define Toolip proxy
        proxy = "http://[USERNAME]:[PASSWORD]@[HOST]:[PORT]"  # Replace with your credentials

        # Use the proxy for all requests
        for url in self.start_urls:
            yield scrapy.Request(url, meta={'proxy': proxy})

    def parse(self, response):
        yield {
            'proxy_ip': response.text
        }

Replace [USERNAME], [PASSWORD], [HOST], and [PORT] with your Toolip proxy credentials.

6

Run the Scrapy Spider

1. Navigate to your Scrapy project directory:

cd myproject

2. Start the spider:

scrapy crawl ToolipExample

3. To save results to a file, use:

scrapy crawl ToolipExample -o output.json
7

Verify Proxy Integration

1. Check if the spider successfully scrapes an IP address from Toolip proxies.

2. Example output:

[
    {
        "proxy_ip": "{\n  \"origin\": \"123.45.67.89\"\n}"
    }
]

3. If you saved the output, open output.json to inspect the results.

With Toolip proxies integrated into Scrapy, your web scraping tasks become more secure, private, and efficient. Whether you’re collecting geo-specific data, managing high-volume scraping jobs, or avoiding detection, Toolip provides the stability and anonymity you need. Start scraping smarter with Toolip and Scrapy today!

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