geo-crawler 0.2.1

AI-powered geographic information crawler with multi-model support

GEO Crawler

中文文档

GEO Crawler is an installable Python CLI for running standardized sampling on AI platforms such as Kimi, Doubao, Yuanbao, DeepSeek, and Qianwen. It saves auditable raw outputs and includes the data models, judges, and metrics used for brand evaluation.

Recommended Runtime

For regular users, pipx is the recommended way to run the CLI. It installs the command into an isolated virtual environment, so you can run geo-crawler from any project folder without cloning this repository or managing dependencies manually.

python3 -m pip install --user pipx
python3 -m pipx ensurepath

pipx install geo-crawler
geo-crawler --help

Upgrade an installed version:

pipx upgrade geo-crawler

Install from Git before a version is published to PyPI:

pipx install git+https://github.com/fengclient/geo-crawler.git

Quick Start

1. Prepare Controller Model Environment

Sampling needs an OpenAI-compatible model for the browser controller. The simplest setup is to place a .env file, or a dedicated env file such as .env.remote-sandbox, in your working directory.

OPENAI_MODEL=gpt-4.1-mini
OPENAI_API_KEY=sk-...
OPENAI_API_BASE=https://api.openai.com/v1
BROWSER_USE_LOGGING_LEVEL=warning

--env-file is loaded only when explicitly passed. It is not an authentication mechanism and does not import browser login state.

2. Initialize Platform Auth

Before the first run, prepare a browser-use/Playwright storage_state for each target platform. The default auth directory is .geo-auth/ under the current working directory, so no extra flag is usually needed.

Interactive initialization:

geo-crawler auth init kimi
geo-crawler doctor auth kimi

Initialize every supported platform:

geo-crawler auth init all
geo-crawler doctor auth all

Import an existing storage state in CI, on a remote machine, or when you already have the file:

geo-crawler auth import kimi ./kimi_storage_state.json
geo-crawler doctor auth kimi

auth import overwrites the same platform file in the default auth directory. For example, geo-crawler auth import kimi ./kimi_storage_state.json writes .geo-auth/kimi_storage_state.json. It affects only kimi, not other platforms.

3. Run Sampling

Run commands from the project folder that owns your dataset, auth directory, and outputs. That keeps .geo-auth/, env files, and runs/ in the same workspace.

Single query:

geo-crawler sample run \
  --platform kimi \
  --query "20万左右电动车推荐" \
  --mode quick \
  --repeat 1 \
  --env-file .env.remote-sandbox \
  --out runs

Dataset:

geo-crawler sample run \
  --platform kimi \
  --dataset dataset.json \
  --mode quick \
  --repeat 3 \
  --env-file .env.remote-sandbox \
  --out runs

Config file:

geo-crawler sample run --config sampling.json

After sampling, outputs are written to runs/run-YYYYMMDD-HHMMSS-xxxxxx/:

runs/run-20260614-143025-a1b2c3/
├── manifest.json
├── inputs.json
├── outputs.json
├── summary.json
└── DONE

Configuration Files

Dataset

[
  {
    "id": "q1",
    "query": "20万左右电动车推荐"
  },
  {
    "id": "q2",
    "query": "适合家庭使用的混动车有哪些"
  }
]

Sampling Config

A config file is useful when platforms, inputs, and browser settings should be repeatable. The auth directory defaults to .geo-auth/; set browser.profile_dir or pass --profile-dir only when you need an override.

{
  "platforms": ["kimi", "qianwen"],
  "inputs": [
    {
      "id": "q1",
      "query": "20万左右电动车推荐"
    }
  ],
  "mode": "quick",
  "repeat": 3,
  "out": "runs",
  "controller": {
    "model": "gpt-4.1-mini",
    "api_key_env": "OPENAI_API_KEY"
  },
  "browser": {
    "cdp_url": "wss://example.com/browser"
  }
}

Env File

An env file is suitable for controller model settings and remote browser parameters. Do not commit .geo-auth/, storage state JSON files, or env files containing real tokens.

OPENAI_MODEL=gpt-4.1-mini
OPENAI_API_KEY=sk-...
OPENAI_API_BASE=https://api.openai.com/v1
BROWSER_USE_LOGGING_LEVEL=warning
BROWSER_USE_CDP_URL=wss://example.com/browser

Common Commands

# Show CLI help
geo-crawler --help
geo-crawler sample run --help

# Auth status
geo-crawler auth status all
geo-crawler doctor auth all

# Force re-login
geo-crawler auth init kimi --force

# Import from stdin
geo-crawler auth import kimi -

# Print JSON summary
geo-crawler sample run \
  --platform kimi \
  --query "20万左右电动车推荐" \
  --format json

Auth State Management

The recommended auth directory is .geo-auth/. The legacy browser_profiles/ path is still read for compatibility, but new users and automation should use auth init or auth import.

Supported platforms:

• kimi
• doubao
• yuanbao
• deepseek
• qianwen
• all for auth init, auth status, and doctor auth

Directory example:

.geo-auth/
├── kimi_storage_state.json
├── doubao_storage_state.json
├── yuanbao_storage_state.json
├── deepseek_storage_state.json
└── qianwen_storage_state.json

Developer Workflow

Clone the repository and use uv only for development, testing, or source changes. For regular operation, prefer pipx.

git clone https://github.com/fengclient/geo-crawler.git
cd geo-crawler

uv sync --all-extras --dev
uv run python -m pytest
uv run python -m geo_crawler.cli --help

In a development checkout, the same CLI can be run through the source entry point:

uv run python -m geo_crawler.cli sample run \
  --platform kimi \
  --query "20万左右电动车推荐"

The compatibility entry point python examples/geo_cli.py ... remains for old scripts, but it is no longer the recommended README path.

Architecture

The CLI has four main layers: command entry point, sampling configuration, platform query execution, and result storage. Auth state is managed by src/auth_state.py, and browser storage state is checked before sampling starts.

geo_crawler.cli
└── examples/geo_cli.py compatibility wrapper

src/sampling/
├── config.py
├── runner.py
└── storage.py

src/<platform>/
├── query.py
├── schema.py
├── tools.py
├── prompt_quick.md
└── prompt_deep.md

src/orchestrator/
├── base_judge.py
├── base_metric.py
├── judges/
└── metrics/

Troubleshooting

geo-crawler: command not found

Make sure pipx ensurepath has been run, then reopen your terminal.

python3 -m pipx ensurepath

doctor auth reports missing or expired auth

Reinitialize interactively, or import a fresh storage state.

geo-crawler auth init kimi --force
geo-crawler doctor auth kimi

--env-file does not take effect

Confirm the command explicitly passes --env-file, and that variable names match supported CLI configuration. .env is not loaded automatically.

Does a remote browser still need browser_profiles/?

No. Remote browser workflows should still use .geo-auth/<platform>_storage_state.json. browser_profiles/ is only a legacy compatibility path, not a dependency for the new flow.

Check installed package metadata

pipx list
pipx runpip geo-crawler show geo-crawler

Security Notes

.geo-auth/ and storage state JSON files are browser login credentials. Treat them as secrets. Do not commit them, paste them into chats or tickets, or expose them in logs. In CI, prefer private files or controlled secret injection.

License

MIT