GitLab Public Projects Scraper

GitLab Public Projects Scraper — a fast, reliable gitlab scraper that needs no API key. You pay only for the results you get: failed or empty runs are always free.

This gitlab scraper runs on the Apify platform, so you can call it from the API, run it on a schedule, or export results to JSON, CSV, Excel, or Google Sheets.

What this scraper does

• Extracts structured gitlab data with no browser or API key required
• Returns clean JSON, one record per result — ready for sheets, databases, or apps
• Pay-per-result pricing: you are never charged for a run that returns nothing
• Runs on demand or on a schedule, and integrates with 5,000+ apps via the Apify API and webhooks

What data you get

Each result record includes fields such as:

• Id (id) — e.g. 12584701
• Name (name) — e.g. "StackGres"
• Name With Namespace (nameWithNamespace) — e.g. "OnGres Inc. / StackGres"
• Path (path) — e.g. "ongresinc/stackgres"
• Description (description) — e.g. "StackGres Operator, Full Stack PostgreSQL on Kubernetes...
• Star Count (starCount) — e.g. 141
• Forks Count (forksCount) — e.g. 63
• Open Issues (openIssues) — e.g. null
• Last Activity (lastActivity) — e.g. "2026-07-10T15:06:33.594Z"
• Created At (createdAt) — e.g. "2019-05-29T11:46:15.548Z"
• Url (url) — e.g. "https://gitlab.com/ongresinc/stackgres"
• Topics (topics) — e.g. ["PgBouncer", "envoy", "java", "k8s", "kubernetes", "oper...
• Visibility (visibility) — e.g. "public"
• Namespace (namespace) — e.g. "OnGres Inc."
• Query (query) — e.g. "kubernetes"

Input

Field	Type	Description
searchTerms	array	GitLab project search queries. One scrape task runs per term, searching public project names/paths/descript...
orderBy	string	How to sort matched projects (descending): stars = most starred, updated = most recently active, created = ...
maxResults	integer	Maximum number of projects to return for each search term. Paginates 100 at a time until this cap or result...

Example output

{
  "type": "project",
  "id": 12584701,
  "name": "StackGres",
  "nameWithNamespace": "OnGres Inc. / StackGres",
  "path": "ongresinc/stackgres",
  "description": "StackGres Operator,  Full Stack PostgreSQL on Kubernetes\r\n\r\nhttps://stackgres.io",
  "starCount": 141,
  "forksCount": 63,
  "openIssues": null,
  "lastActivity": "2026-07-10T15:06:33.594Z",
  "createdAt": "2019-05-29T11:46:15.548Z",
  "url": "https://gitlab.com/ongresinc/stackgres",
  "topics": [
    "PgBouncer",
    "envoy",
    "java",
    "k8s",
    "kubernetes",
    "operator",
    "postgresql"
  ],
  "visibility": "public",
  "namespace": "OnGres Inc.",
  "query": "kubernetes",
  "scrapedAt": "2026-07-11T00:00:00Z"
}

Use cases

• Monitor packages, repos, and dependencies
• Automate security and license audits
• Build developer dashboards and alerts
• Enrich internal tools and integrations

Run it as a monitor (alerts on new gitlab)

Schedule this gitlab scraper to run automatically — hourly, daily, or on any cron schedule — with the built-in Apify Scheduler, and have results pushed to you by webhook, email, Slack, or your own app the moment they're ready. It's the easiest way to monitor gitlab for changes over time and get alerted the instant something new appears — no manual runs. Because pricing is per result, a scheduled monitor only ever charges you for the data each run actually returns.

Pricing

This actor uses pay-per-result pricing at $0.0004 per record. There is no monthly fee and no start fee — and empty or failed runs cost $0, so you only ever pay for data you actually receive.

Frequently asked questions

Do I need an API key or account for the source? No. This gitlab scraper works out of the box with no API key required.

What happens if a run returns no results? You are not charged. Billing is per result, so empty or failed runs are free.

Can I run the gitlab scraper on a schedule? Yes. Use the Apify Scheduler to run it hourly, daily, or on any cron schedule, and get results by webhook or API.

What export formats are supported? Results can be exported as JSON, CSV, Excel, HTML, or pushed to Google Sheets, a database, or your own app via the Apify API.

Is the data structured? Yes. Every gitlab result is a clean, flat JSON record you can use immediately.