Combine the power of Apify's web scraping infrastructure with GitHub's version control and CI/CD capabilities through Neotask. Whether you're managing actor source code, triggering scraping runs on push events, or syncing datasets back to repositories, Neotask bridges these two platforms so your development workflow stays cohesive and repeatable.
Modern web scraping projects demand the same engineering discipline as any other software: versioned code, automated testing, and reliable deployment pipelines. Yet most teams manage their Apify actors separately from their GitHub repositories, creating a fragmented workflow that leads to stale code, manual deployments, and no audit trail.
Neotask eliminates that gap by giving you a single AI-powered agent that understands both platforms simultaneously.
Apify actors are first-class software artifacts — they deserve the same version control, code review, and deployment automation that every other piece of your stack receives. By pairing Apify with GitHub through Neotask, you bring scraping infrastructure into your standard development lifecycle rather than treating it as an isolated side process.
Neotask's AI agent understands the context of both platforms, so you can describe workflows in plain language and have them executed accurately across both tools without writing custom glue scripts.
Neotask connects to Apify and GitHub through secure OAuth and API key integrations. No infrastructure to manage, no custom webhooks to maintain — just a reliable automation layer that keeps your scraping and development workflows in lockstep.
Yes. Neotask can listen for GitHub push or release events and automatically trigger the corresponding Apify actor build and run. You can configure which branch or tag patterns should initiate a run, and Neotask will pass the appropriate input configuration to Apify on each trigger.
Neotask treats your Apify actor configurations, input schemas, and run parameters as artifacts that belong in GitHub alongside your source code. It can read configuration files from your repository, apply them to Apify runs, and commit run outputs or summaries back to the repo — giving you a complete version-controlled history of both your scraper logic and its results.
Absolutely. Neotask integrates with GitHub Actions so you can embed Apify actor runs as steps in your existing pipelines. This means you can validate data freshness, run scraping jobs as part of a release gate, or generate reports automatically on every merge to main — all without leaving your current CI/CD setup.
Stop manually deploying actors. Let Neotask automate your entire scraper development lifecycle in minutes.
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