Maintaining a low profile while scraping websites like Zillow is crucial to avoid being blocked or banned. Here are several strategies you can use to scrape data more responsibly and inconspicuously:
1. Respect robots.txt
Check robots.txt
file on Zillow (https://www.zillow.com/robots.txt
) to see the scraping rules set by Zillow. Follow the guidelines to avoid scraping disallowed paths.
2. Use Headers
Make your requests look like they are coming from a browser by setting the User-Agent
and other headers accordingly.
import requests
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3',
}
response = requests.get('https://www.zillow.com/homes/', headers=headers)
3. Rotate User Agents
Regularly rotate user agents to mimic different browsers and avoid detection.
4. Delay Requests
Implement delays between your requests to reduce the load on Zillow's servers and mimic human browsing behavior.
import time
# Delay for 5 seconds
time.sleep(5)
5. Use Proxies
Employ a rotation of proxies to distribute your requests over various IP addresses, reducing the chance of being blocked by IP.
import requests
proxies = {
'http': 'http://your_proxy:port',
'https': 'http://your_proxy:port',
}
response = requests.get('https://www.zillow.com/homes/', proxies=proxies)
6. Limit Request Rate
Make sure to limit the request rate to a reasonable number. Use libraries or tools that help in rate limiting.
7. Session Management
Maintain sessions if necessary to reuse cookies and seem more like a regular user rather than a bot.
session = requests.Session()
# Use session to make requests
8. Error Handling
Be prepared to handle errors such as HTTP 429 (Too Many Requests) gracefully and implement a retry mechanism with exponential backoff.
9. Scrape During Off-Peak Hours
Try to perform the scraping during hours when the website is less busy to minimize the chance of causing any noticeable impact.
10. Legal and Ethical Considerations
Always be aware of the legal and ethical implications of web scraping. Make sure you have the legal right to scrape and use Zillow's data.
Sample Python Code with Some Techniques
import requests
import time
from itertools import cycle
from fake_useragent import UserAgent
# Rotating proxies and user agents
proxies = ['http://proxy1:port', 'http://proxy2:port', 'http://proxy3:port']
user_agents = UserAgent()
proxy_pool = cycle(proxies)
headers = {
'User-Agent': user_agents.random,
}
for url in urls_to_scrape:
proxy = next(proxy_pool)
try:
response = requests.get(url, headers=headers, proxies={'http': proxy, 'https': proxy})
# Do something with the response
except requests.exceptions.RequestException as e:
# Log error and potentially retry
print(e)
time.sleep(10) # Sleep 10 seconds between requests
JavaScript (Node.js) Example with Proxies
const axios = require('axios');
const HttpsProxyAgent = require('https-proxy-agent');
const proxies = ['http://proxy1:port', 'http://proxy2:port', 'http://proxy3:port'];
let currentProxy = 0;
async function getWithProxy(url) {
const agent = new HttpsProxyAgent(proxies[currentProxy % proxies.length]);
currentProxy += 1;
try {
const response = await axios.get(url, {
httpsAgent: agent,
headers: {
'User-Agent': 'Your User Agent String',
},
});
// Process response
} catch (error) {
// Handle error
}
}
// Use a sleep function to delay requests
function sleep(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
// Example usage
async function scrapeZillow() {
for (const url of urlsToScrape) {
await getWithProxy(url);
await sleep(10000); // Sleep for 10 seconds
}
}
scrapeZillow();
Remember, scraping can be a legally grey area and can have ethical implications, especially if it's against the terms of service of the website. Always try to access the data through an API if one is available and use scraping as a last resort.