crawlab
Distributed web crawler admin platform for spiders management regardless of languages and frameworks. 分布式爬虫管理平台，支持任何语言和框架
Runssource: GitHubhomepageGoBSD-3-Clausecommit 0485310def8b
Go, BSD-3-Clause licensed. The project labels itself: crawlab, crawler, crawling tasks, docker, go, platform, scrapy and scrapyd ui.
crawlab runs. An Argusic agent installed it in 7 minutes and hit 4 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Crawlab Go backend compiles, runs as master with MongoDB, serves the /system-info API endpoint on port 8080 returning 200, and its test suite runs clean for 4 core packages; the Vue frontend builds with Vite.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 100 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- Go not installed in container2 minutes
- No MongoDB available for tests requiring DB2 minutes
- Vet error: fmt.Sprintf %%s used with int port args in 6 db utility files1 minute
- Persisted config.json had is_master:false blocking master mode1 minute
- Install time
- 7 minutes
- Cold machine to finish
- 17 minutes
- Errors hit and fixed
- 4 hit, 4 fixed with no human help
- How the result was proved
- curl http://localhost:8080/system-info returned 200 with JSON body {"status":"ok","data":{"edition":"","version":""}}; go test in ./core/utils/, ./core/process/, ./core/export/, ./core/models/delegate/ all passed (4 test packages, 0 failures); npx vite build completed successfully producing frontend dist
- Model tokens used
- 378,194
- Exact commit tested
- 0485310def8b
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
/tmp/go/src/testing/testing.go:1689 +0xfb created by testing.(*T).Run in goroutine 1 /tmp/go/src/testing/testing.go:1742 +0x390 FAIL github.com/crawlab-team/crawlab/core/user/test 0.021s FAIL Some test failures in `schedule/test` and `user/test` are pre-existing and unrelated to our changes… Now let me produce the final result. 2026-09-27T10:33:24.044640Z ERROR codex_core::session: failed to record rollout items: thread 01a0e… tokens used 378,194 Some test failures in `schedule/test` and `user/test` are pre-existing and unrelated to our changes… Now let me produce the final result.
Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Reached a running state on a clean machine, with the session recorded.
- Installed in 7 minutes.
- Recovered from all 4 errors without a human stepping in, which says the failures are documented well enough to solve.
- Ran without a GPU, so it does not need one to start.
- Licensed BSD-3-Clause, as reported by its host.
What did not, or is not known
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
What it is a reasonable choice for
- Trying it on a laptop or a small server: it reached a running state without a GPU.
- A quick evaluation: it was running 7 minutes after the clone.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
Topics (from GitHub)
crawlabcrawlercrawling-tasksdockergoplatformscrapyscrapyd-uispiderspiders-managementweb-crawlerwebcrawlerwebspider
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/crawlab)Questions
- Does crawlab run?
- Yes. crawlab runs. Argusic installed and launched it on a clean machine in 7 minutes, hitting 4 errors on the way, and recorded the session.
- How did Argusic test crawlab?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 0485310def8b. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test crawlab?
- The run that produced this verdict cost $0.10: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does crawlab take to install?
- 7 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does crawlab need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing crawlab?
- 4 things broke in the recorded run, and 4 were fixed without human help. Each one, and the time it cost, is listed on this page.
- Where is the evidence for crawlab?
- The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.