# 🦊 GitLab Scraper — Projects & Repository Data (`nexgendata/gitlab-scraper`) Actor Extract GitLab project data — stars, forks, issues, merge requests, contributor stats. GitHub Stats, Sourcegraph & OpenHub alternative for dev analytics, OSS intelligence and engineering dashboards. Pay per project, no token needed. - **URL**: https://apify.com/nexgendata/gitlab-scraper.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Developer tools, Automation - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 🦊 GitLab Scraper — Projects, Merge Requests & Issues vs GitLab API Pay-per-result GitLab scraper — extracts full project metadata, stars, forks, commit cadence, merge-request stats, issue counts, and CI/CD pipeline history from public GitLab.com and self-hosted GitLab instances. Built for OSS scouts, dev-tool competitive intel, and procurement researchers as a no-token-rotation **alternative to** the official GitLab REST API (10 req/sec authenticated), GraphQL API (point-budget), Sourcegraph Cloud ($299-1000+/mo), and SaaS aggregators like LinearB ($25-79/user/mo) and Velocity by Code Climate ($499+/mo). ### Why GitLab Scraper Beats the GitLab API, Sourcegraph & LinearB | Feature | NexGenData GitLab Scraper | GitLab official API | Sourcegraph Cloud | LinearB | |---|---|---|---|---| | Cost | $0.002 / project, pay-per-result | Free + rate-limited | $299-1000+ / month | $25-79 / user / month | | Rate limit | None for end user | 10 req/sec authenticated | Plan-dependent | Plan-dependent | | Self-hosted GitLab support | Yes — set instance URL | Yes (with PAT) | Yes (with PAT) | Yes (with PAT) | | Auth | Apify token + optional GitLab PAT | GitLab PAT required for most ops | Account + PAT | Account + PAT | | Bulk export | Direct dataset → JSON/CSV/Excel | Per-call REST + pagination | UI + limited API | API | | Cross-org / cross-instance scan | Yes | No (instance-scoped) | Yes | Yes | | Free trial | Free Apify credits | Free for low volume | 30-day trial | 30-day trial | OSS scouts, devtool marketers, and procurement researchers pick this actor **instead of** building their own GitLab PAT-rotation rig because at >2000 projects the official API's per-second cap forces multi-hour scans. It is a **drop-in alternative to** Sourcegraph Cloud for "I just need GitLab project metadata for my BI tool" — the bare data without the UI overhead. ### What You Get Per Project Each dataset item is a flat JSON record: - `id`, `namespace`, `path`, `web_url`, `description` - `stars`, `forks`, `open_issues`, `closed_issues`, `open_mrs`, `merged_mrs` - `primary_language`, `language_breakdown` - `topics`, `license`, `default_branch`, `visibility` - `created_at`, `last_activity_at`, `last_release_at` - `commits_last_90d`, `unique_committers_last_90d` - `top_committers` — array of `{username, name, commits}` - `merge_request_stats` — average lead time, throughput, review latency - `pipeline_success_rate_90d`, `last_pipeline_status` - `readme_text`, `archived`, `mirror`, `forked_from` ### Use Cases - **OSS scouts** — find growing GitLab-hosted projects that don't show up on GitHub trending - **Devtool marketers** — discover teams running self-hosted GitLab for outbound targeting - **DevOps procurement** — benchmark a target company's CI velocity before pitching them - **Migration consultancies** — quantify the scope of a GitLab → GitHub migration RFP - **Open-source maintainers** — track fork activity and downstream contributions across instances - **Investor diligence** — verify "X projects on GitLab" claims with raw data - **Internal-platform teams** — audit your own org's GitLab health across thousands of repos ### Quick Start ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("nexgendata/gitlab-scraper").call(run_input={ "instance": "https://gitlab.com", "search": "kubernetes", "minStars": 10, "maxResults": 1000, "includeMergeRequestStats": True }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["path"], item["stars"], item["commits_last_90d"]) ```` ### Pricing Pay-per-event — no PAT-rotation rig required, no monthly minimum. - **Actor Start:** $0.0001 - **Per project:** $0.002 A 1000-project search costs about $2. Equivalent GitLab-API rate-respecting scan takes 2+ hours of PAT juggling. ### Related NexGenData Actors | Use case | Actor | |----------|-------| | GitHub repos + stars + contributors | [GitHub Scraper](https://apify.com/nexgendata/github-scraper?fpr=2ayu9b) | | Daily / weekly trending repos | [GitHub Trending Scraper](https://apify.com/nexgendata/github-trending-scraper?fpr=2ayu9b) | | Deep stargazer-history analytics | [GitHub Repo Stats](https://apify.com/nexgendata/github-repo-stats?fpr=2ayu9b) | | Docker Hub image pull counts | [Docker Hub Scraper](https://apify.com/nexgendata/dockerhub-scraper?fpr=2ayu9b) | | Dev.to articles & dev audience | [Dev.to Scraper](https://apify.com/nexgendata/devto-scraper?fpr=2ayu9b) | | Developer tools MCP server | [Developer Tools MCP Server](https://apify.com/nexgendata/developer-tools-mcp-server?fpr=2ayu9b) | | Company tech-stack detector | [Company Tech Stack Detector](https://apify.com/nexgendata/company-tech-stack-detector?fpr=2ayu9b) | | StackOverflow Q\&A trends | [StackOverflow Questions](https://apify.com/nexgendata/stackoverflow-questions?fpr=2ayu9b) | ### FAQ **Q: Does this work with self-hosted GitLab?** Yes — set `instance: "https://gitlab.yourcompany.com"` and supply a PAT in `gitlabToken`. The actor uses the same API surface across self-hosted and gitlab.com. **Q: Does this need a GitLab PAT?** Only for self-hosted, private projects, or higher request volumes. Public gitlab.com searches work without one. **Q: How does this compare to the GitLab GraphQL API?** GraphQL gives you per-call efficiency but ties you to a point budget. This actor flattens the data, runs the multi-call dance for you, and returns one row per project. **Q: Can I get pipeline history?** Yes — `includePipelineHistory: true` adds the last 90 days of pipeline runs per project. **Q: Schema stability?** Field names are versioned per actor release. We track GitLab major API versions. **Q: What about merge-request review-latency metrics?** `merge_request_stats` includes `avg_lead_time_hours`, `avg_review_latency_hours`, and `throughput_per_week`. These are computed from the public MR events stream. ### About NexGenData NexGenData publishes 260+ buyer-intent actors covering SEC filings, YC alumni, lead generation, competitive intelligence, stock fundamentals across 30+ exchanges, and more. All pay-per-result. Browse the full catalog at https://apify.com/nexgendata?fpr=2ayu9b *** ### How NexGenData Pricing Works Every NexGenData actor uses **pay-per-event** pricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills. - **Actor Start:** a single-event charge each time you spin the actor up (scaled to memory size) - **Result / item:** charged per item written to the default dataset - **No charge** for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform ### Apify Platform Bonus New to Apify? Sign up with the NexGenData [referral link](https://www.apify.com/?fpr=2ayu9b) — you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet. ### Integration Surface Every actor in the NexGenData catalog can be triggered from: - **Apify console** — point-and-click run - **Apify API** — REST + webhooks - **Apify Python / JS SDKs** — programmatic batch - **Zapier, Make.com, n8n** — official integrations - **MCP** — many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents - **Schedules** — built-in cron for daily / weekly / monthly runs - **Webhooks** — POST results to any HTTPS endpoint on dataset write ### Support NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome — high-demand features ship in the next version. Home: [thenextgennexus.com](https://thenextgennexus.com) Full catalog: [apify.com/nexgendata](https://apify.com/nexgendata?fpr=2ayu9b) # Actor input Schema ## `searchQuery` (type: `string`): Repository name or keyword to search for ## `projectPath` (type: `string`): Exact project path (e.g., gitlab-org/gitlab) ## `maxResults` (type: `integer`): Maximum number of projects to extract ## `includeReadme` (type: `boolean`): Include README content ## Actor input object example ```json { "maxResults": 10, "includeReadme": false } ``` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/gitlab-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("nexgendata/gitlab-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call nexgendata/gitlab-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/gitlab-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🦊 GitLab Scraper — Projects & Repository Data", "description": "Extract GitLab project data — stars, forks, issues, merge requests, contributor stats. GitHub Stats, Sourcegraph & OpenHub alternative for dev analytics, OSS intelligence and engineering dashboards. Pay per project, no token needed.", "version": "0.0", "x-build-id": "aFTin7jiTj7mbv0LF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~gitlab-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-gitlab-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~gitlab-scraper/runs": { "post": { "operationId": "runs-sync-nexgendata-gitlab-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~gitlab-scraper/run-sync": { "post": { "operationId": "run-sync-nexgendata-gitlab-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Repository name or keyword to search for" }, "projectPath": { "title": "Project Path", "type": "string", "description": "Exact project path (e.g., gitlab-org/gitlab)" }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of projects to extract", "default": 10 }, "includeReadme": { "title": "Include README", "type": "boolean", "description": "Include README content", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```