Location-Aware Market Research
with Residential Proxies
Monitor public competitor activity, compare localized pages, and gather market observations with residential proxy locations available through PreProx. Access and results still depend on destination-site rules and current network conditions.
The Foundation for Reliable Market Intelligence
Compare public pages from selected residential locations as part of your research. Record the location, time, and browser conditions so you can assess differences alongside other market evidence.
Localized Page Observations
Review public products, prices, and content through available residential locations. Each response is an observation to validate against other sources, rather than a measurement of consumer behavior.
Content Comparisons
Compare responses across locations while keeping request and browser settings consistent. Differences can reflect localization, personalization, testing, or access rules and need further investigation.
Massive Geolocation Reach
Select from currently available countries and use state or city targeting where supported by the live residential network.
See What the World is Thinking
Use residential proxy locations as one input in an authorized market-research process. Validate coverage, response quality, and destination-site rules with a small test before scaling.
- Residential network and location context
- Rotating or sticky session controls
- Country, state, city, ZIP code, and ASN targeting where available
- Standard proxy credentials for research tools
For this Python Requests example, use an HTTP-capable proxy host and port copied from the dashboard. Select the location and session settings first, then set the PREPROX_PROXY_* environment variables with the username and full generated password. Set TARGET_URL to a public page you are authorized to research.
import os
from urllib.parse import quote
import requests
host = os.environ["PREPROX_PROXY_HOST"]
port = os.environ["PREPROX_PROXY_PORT"]
username = quote(os.environ["PREPROX_PROXY_USERNAME"], safe="")
password = quote(os.environ["PREPROX_PROXY_PASSWORD"], safe="")
proxy_url = f"http://{username}:{password}@{host}:{port}"
with requests.Session() as session:
session.trust_env = False
response = session.get(
os.environ.get("TARGET_URL", "https://example.com/"),
proxies={"http": proxy_url, "https": proxy_url},
timeout=(10, 30)
)
response.raise_for_status()
print(f"Status: {response.status_code}")
print(response.text[:500])
Market Research FAQ
Unlock Your Global Potential
Add location-aware residential endpoints to an authorized market-research workflow.