google-maps-scraper
scrape data from Google Maps. Extracts data such as the name, address, phone number, website URL, rating, reviews number, latitude and longitude, reviews,email and more for each place
Runs with mockssource: GitHubGoMITcommit d0b51bcf3cd5
Go, MIT licensed. The project labels itself: agent skills, claude skills, codex skills, distributed scraper, distributed scraping, golang, google maps and google maps scraping.
google-maps-scraper runs, with stand-ins for the services it depends on. An Argusic agent installed it in 1.5 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.
All 17 Go packages with tests passed with race detection (no failures), the binary compiled and prints version/help correctly, and all 10 JS skill tests plus shell helper tests passed.
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 86 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.
- Install time
- 2 minutes
- Cold machine to finish
- 6 minutes
- Errors hit and fixed
- 0 hit, 0 fixed with no human help
- How the result was proved
- go test -count=1 -race -timeout 5m ./... returned 17 'ok' lines with zero FAIL; /tmp/gmapsscraper -version printed v0.0.0-20260924045435-d0b51bcf3cd5-d0b51bc; /tmp/gmapsscraper -help printed full flag list
- Model tokens used
- 51,044
- Exact commit tested
- d0b51bcf3cd5
- 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
- Behaviour against real services
- this run was verified against stand-in services only
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
exec /bin/sh -lc 'export GOROOT=/home/runner/.goroot && export GOPATH=/home/runner/go-pkgs && export PAT… succeeded in 9137ms: go version go1.27.1 linux/amd64 v0.0.0-20260924045435-d0b51bcf3cd5-d0b51bc ok github.com/gosom/google-maps-scraper/web/sqlite 1.047s All 17 Go test packages passed (race-detection enabled), all 10 JS tests passed, the shell helper t… ***Final reporting*** tokens used 51,044 All 17 Go test packages passed (race-detection enabled), all 10 JS tests passed, the shell helper t… ***Final reporting***
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
- Installed in 1.5 minutes, faster than the median of the 21 comparable projects Argusic has measured.
- Nothing broke on the way: zero errors between clone and running.
- Licensed MIT, as reported by its host.
- Measured 2 times, so the result is not a one-off.
What did not, or is not known
- Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
Of the 22 agent-skills projects Argusic has installed and timed, google-maps-scraper was the 8th fastest to reach a running state, and 16 of 22 reached one at all.
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
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 2/3 | Runs with mocks | 92.00 | 0.04 | |
| Argusic Runner | 1/3 | Unverified | 80.00 | 0.03 |
Topics (from GitHub)
agent-skillsclaude-skillscodex-skillsdistributed-scraperdistributed-scrapinggolanggoogle-mapsgoogle-maps-scrapingweb-scraperweb-scraping
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/google-maps-scraper)Questions
- Does google-maps-scraper run?
- google-maps-scraper runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 2 minutes, hitting 0 errors on the way, and recorded the session.
- How did Argusic test google-maps-scraper?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit d0b51bcf3cd5. 2 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test google-maps-scraper?
- The run that produced this verdict cost $0.04: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does google-maps-scraper take to install?
- 1.5 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 google-maps-scraper need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing google-maps-scraper?
- Nothing did, in the recorded run: zero errors between clone and running.
- How does google-maps-scraper compare with the alternatives?
- Of the 22 agent-skills projects Argusic has installed and timed, google-maps-scraper was the 8th fastest to reach a running state, and 16 of 22 reached one at all.
- Where is the evidence for google-maps-scraper?
- All 2 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.