Working with HTTP to harvest web data through geo targeted proxies

Contents of article:

  1. Devise web scraping strategies
  2. Restriction avoidance strategies through HTTP actions
  3. Recognizing HTTP answers
  4. Conclusion

Business mission of the Dexodata service is to assist with seamless web data harvesting according to the 2025 trends. In the 2020-s, as safeguards against data harvesting become smarter and more sophisticated, buying dedicated proxies alone might not suffice, without additional measures. We propose this guide, overviewing those coherent extra steps.

Devise web scraping strategies

In Dexodata’s eyes, these comprehensive preparatory measures are must-haves for value-adding result-generating web scraping activities. 

Geo targeted proxies  Apply geo targeted proxies for zone-pertaining targets. By directing-redirecting info queries through versatile IP pools, one mimics queries from various locations, reducing risks of getting detected and restricted. Test IPs from Dexodata by ordering a rotating proxies free trial 
Scraping round setup
  1. Setup sessions by tuning both appropriate headers and cookies. 
  2. Utilize common HTTP headers for emulating full-fledged browser requests. Keeping up-to-date lists of User-Agent strings plays a major part in avoiding detection instances.
  3. Store and reuse cookie-files for maintaining scraping round consistency, which helps in bypassing basic anti-scraping measures
Headless browsers For targets requiring JavaScript rendering, end-user actions' automation via headless browsers, e.g., Puppeteer or Selenium are essential. These tools could render JS just like real-world browsers, making it harder for platforms, online databases, human admins to detect automated data harvesting efforts.

 

Restriction avoidance strategies through HTTP actions

 

Delving into further aspects of importance, we suggest scrutinizing: 

 

1. HTTP header-related specificities

Sites frequently monitor and restrict data calls with outdated or suspicious User-Agent headers. Protecting info queries from red-flagging threats mandates thorough HTTP heading customization policies to closely imitate queries stemming from existing internet surfing solutions.

Code sample by Dexodata’s team:

import requests

# Define headers that mimic a real browser

headers = {

    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',

    'Accept-Language': 'en-UK,en;q=0.9',

    'Referer': 'https://www.veryspecialinstance.co.uk/'

}

# Make a request with custom headers

response = requests.get('https://www.veryspecialinstance.co.uk/data', headers=headers)

print(response.status_code)

print(response.text)

Within those blocks, we outline titles copying an actual surfing activity and encompassing User-Agent, Accept-Language, as well as Referer.

 

2. HTTP engines

Selecting right HTTP engines is pivotal for productive scraping when you buy dedicated proxies. Two popular choices are curl coupled with Python's requests library:

  • curl. A versatile command-line tool for executing HTTP queries. While lightweight and flexible, it often requires manual configuration of headlines and other vital parameters;

Code sample by Dexodata’s team:

curl -A "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36" \

     -H "Accept-Language: en-UK,en;q=0.9" \

     -H "Referer: https://www.veryspecialinstance.co.uk/" \

     https://www.veryspecialinstance.co.uk

  • requests. An outstanding potent alternative in high demand, streamlining query procedures and workable control over headings, dataset gathering rounds, and dynamic geo targeted proxies.

Code sample by Dexodata’s team:

import requests

# Initialize a session

session = requests.Session()

session.headers.update({

    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',

    'Accept-Language': 'en-UK,en;q=0.9',

    'Referer': 'https://www.veryspecialinstance.co.uk/'

})

# Make a request with the session

response = session.get('https://www.veryspecialinstance.co.uk/data')

print(response.status_code)

print(response.text)

Both paths reveal more-and-better integrated approaches towards scraping session management, making it easier to maintain consistency across multiple requests.

 

Recognizing HTTP answers

 

Comprehending HTTP answers helps one recognize when entry issues emerge and enhance strategies of extrating public online information with AI-based models, choose other scraping techniques, buy dedicated proxies in additional locations, and so on.

Contemporary status code vocabulary:

  • 200 OK. Fruitful data query outcomes;
  • 301 Moved permanently / 302 Found. Web presences have migrated to fresh URLs;
  • 403 Forbidden. No permission to access info is given, signaling possible blocking;
  • 404 Not found. No such resource in existence identified;
  • 429 Too many requests. Numbers of queries within certain time frames exceed applicable thresholds, a clear indication of rate-specific limitations;
  • 500 Internal server error / 503 Service unavailable. Server-side obstacles, not necessarily related to scraping activities.

 

Conclusion

 

In 2025, key web scraping trends demand from the performing team to avoid sites-based restrictions from automated activity. This requires a well-thought-out course of actions. For attaining this objective, buy dedicated proxies from Dexodata for tackling challenges through residential, datacenter, mobile IP addresses. Then prepare sessions. Finally, anticipate and react to HTTP answers. By implementing these techniques, increase success rates of data harvesting undertakings. Start by ordering Dexodata’s rotating proxies free trial

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