Job board proxies
Job board proxies for recruiters, HR tech and labour-market analysts: collect listings and salary data city by city from Indeed, Glassdoor, ZipRecruiter and LinkedIn Jobs, and check how your own ads rank where candidates search.
- City-level targeting
- Residential IPs
- No KYC
Proxies for job boards
Lowest rate for each. Every tier is on the pricing page.
Why job data needs local, residential IPs
Job boards are local search engines, and they guard their listings against bulk collection.
Results depend on the city
Search results, salary estimates and sponsored jobs change with the searcher’s location. Collect each city from an IP in it.
Boards block server traffic
The big boards sit behind bot protection that challenges datacenter IPs first. Residential IPs look like job seekers.
Listings expire fast
Jobs are posted, edited and pulled within days. Useful data means frequent runs across many searches.
Which proxy for which job board task
Rotate between searches. Hold one IP within a search.
| Job board task | Proxy type | Why | From |
|---|---|---|---|
| Collecting listings across many cities | Budget Residential | A new residential IP per search at our lowest per-GB rate. | $0.49/GB |
| Salary and hiring research in bursts | Eternal Residential | Buy once. The balance never expires between projects. | $0.75/GB |
| Checking where your own job ads rank | Premium Residential | High-trust residential IPs with city targeting, to see your ad as candidates do. | $5.16/GB |
| Searches by US ZIP code or metro area | Eternal Residential Lite | ZIP code, metro area and radius targeting. | $0.59/GB |
Collect a city’s jobs
Search each role and city with an IP in that city, page through the results on one IP, then switch IP for the next search. Keep each job’s ID, so the next run only fetches what changed.
- IP in the city Match the search location
- One IP per search Sticky across result pages
- Keep job IDs Fetch only new or changed jobs
- Keep a pace A pause between pages
Python: one search, paged on one IP (Eternal Residential format)
import requests, time
proxy = "http://USERNAME:PASSWORD_country-US_city-austin_session-jobs01_lifetime-10@et.vantixproxy.com:1000"
s = requests.Session()
s.proxies = {"http": proxy, "https": proxy}
for start in range(0, 50, 10):
url = f"https://www.indeed.com/jobs?q=data+engineer&l=Austin%2C+TX&start={start}"
r = s.get(url, timeout=30)
print(start, r.status_code)
time.sleep(3)Job boards proxy questions
Which proxy is best for job boards?
Budget Residential for collecting listings across many cities. Eternal Residential for research in bursts. Premium Residential for checking your own job ads.
Which job boards does this work with?
Any board that lists jobs on the web: Indeed, Glassdoor, ZipRecruiter, LinkedIn Jobs, Monster and local boards. Use an IP in the country, and ideally the city, you search.
Can I see salary data for a specific city?
Yes. Salary pages and estimates follow the location you search. Use an IP in that city: our residential products support city targeting.
How do I check where my own job ad ranks?
Search the way a candidate would, logged out, from an IP in the job’s city, and note where your ad appears. Repeat from a few nearby cities.
How much bandwidth does job research use?
Search pages are light next to job detail pages, so collect job IDs from searches and fetch details only for new jobs. The proxy cost calculator estimates the GB.
Is collecting job listings through proxies allowed?
Collecting public job listings are normal uses of our proxies. Every customer agrees to our Acceptable Use Policy, so VantixProxy is not responsible for its users’ actions. Each board’s own rules remain your responsibility.
Proxies for other data sources
Each source guards its data in its own way. Pick yours.
Collect job data city by city
Budget Residential from $0.49/GB, or Eternal Residential from $0.75/GB that never expires. No KYC, crypto or card.