AI data infrastructure
Reliable web data for AI and LLMs
Give data teams a dependable way to collect public web sources for model development, evaluation, and retrieval tests — without changing the rest of the pipeline.
Who this is for
ML engineers, evaluation owners, and research teams who need public web pages, search results, or localized content as inputs to datasets and benchmarks.
Why location-aware access matters for model data
Collect the sources your models need with geographic control, resilient sessions, and standard proxy credentials that fit scripts you already run.
What you gain
Regional dataset coverage
Request the same source from more than one location when search results, language, or availability change by market.
Fewer blocked collection runs
Route traffic through residential, mobile, or datacenter proxies so automated jobs look like ordinary client traffic.
Separation of concerns
Keep models, labeling, and storage in your stack. Premip only supplies the access layer: host, port, username, and password.
Controls that fit LLM data work
Location targeting
Pick a dashboard location that matches the market your evaluation set is supposed to represent.
Session choice
Keep a sticky session when a multi-page journey must stay on one IP. Rotate when you need a fresh exit IP between jobs.
Client-agnostic credentials
Use HTTP or SOCKS5 with curl, Python, Node.js, or any client that accepts a proxy URL.
Typical AI data jobs
Regional evaluation sets
Capture how public pages and search features appear in the countries your product serves.
Market-to-market comparison
Collect the same URL list from two locations and compare content, language, or availability.
Retrieval source refresh
Re-fetch public documents on a schedule so RAG indexes stay current.
Recommended setup
Mobile
Start with mobile when the source treats carrier traffic more like a normal user. Use residential for broad web coverage, or datacenter when the target is stable and volume is the constraint.
Sessions
Sticky sessions for multi-step crawls on one site. Rotate the IP from the dashboard between independent jobs.
Location
Choose the country (and city when available) that matches the dialect, catalog, or search view you want in the dataset.
Before you start
- A Premip account and an active plan with the locations you need.
- A source list: domains, URLs, or query sets you are allowed to collect as public web data.
- A client that supports HTTP or SOCKS5 proxies (scripts, crawlers, or notebooks).
- A place to store results — object storage, a database, or your existing labeling pipeline.
How to collect AI source data with Premip
Follow these steps once for a pilot URL list, then reuse the same credentials and location for scheduled jobs.
Step 1
Define the dataset contract
Write down the domains, languages, locations, and freshness window. Decide whether each record must come from a specific country. Keep the first batch small — a few dozen URLs is enough to prove access.
Step 2
Create an account and choose a plan
Sign up, pick mobile, residential, or datacenter, and select a billing period that matches how often you will collect. Complete checkout so the dashboard can issue credentials.
Step 3
Pick the location in the dashboard
Open your proxy and set the location to the market the dataset should represent. If you need several markets, treat each location as a separate run with the same URL list.
Step 4
Copy HOST, PORT, USERNAME, and PASSWORD
Use the values from the proxy detail page. The same credentials work for HTTP and SOCKS5. Do not embed real secrets in source control — load them from environment variables.
Step 5
Point your collector at the proxy
Configure your HTTP client with http://USERNAME:PASSWORD@HOST:PORT. For a first test, fetch one public page and confirm the status code and body look like the regional version you expect.
Step 6
Set session behavior
Keep the session sticky while a crawl follows pagination or login-free browsing on one site. After the job, rotate the IP from the dashboard if the next job should use a new exit address. Host, port, and user stay the same.
Step 7
Record quality checks
Store the location you used with each record. Spot-check language, currency, and blocked-page patterns before you scale the URL list.
Step 8
Schedule the repeatable job
Once the pilot is clean, increase volume and add locations. Tune concurrency slowly and keep collection logic in your own pipeline.
curl -x http://USERNAME:PASSWORD@HOST:PORT https://example.comQuestions about AI and LLM data collection
- Can I collect data from different countries?
- Yes. Set the proxy location in the dashboard to the market you need, then run the same collector. Repeat for each country in the dataset.
- Does this replace my data collection software?
- No. Premip is the proxy access layer. Your scripts, crawlers, notebooks, and storage stay under your control.
- Which protocol should I use?
- Use HTTP for most collectors. Use SOCKS5 when the client requires it. Credentials are the same for both.
- How do I rotate the IP without breaking jobs?
- Finish the current session, then rotate from the dashboard or proxy detail page. Connection details stay the same; only the exit IP changes.
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