AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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查看完整 README ↗A project to generate point of interest (POI) data sourced from websites with 'store location' pages. The project uses scrapy, a popular Python-based web scraping framework, to execute individual site spiders that retrieve POI data, publishing the results in a standard format. There are various scrapy tutorials on the Internet and this series on YouTube is reasonable.
All the Places is used many places, including some of the most popular maps. Having high quality, fresh, first party data here helps help brands be accurately listed in many apps.
---
sources:
overture: https://docs.overturemaps.org/blog/2025/11/19/release-notes/#places
foursquare: https://docs.foursquare.com/data-products/docs/fsq-os-places-release-notes#november-2025
---
flowchart
Spiders(["Thousands of first party datasets"])
ATP(["All the Places"])
click ATP "https://alltheplaces.xyz/"
OSM(["OpenStreetMap"])
click OSM "https://www.openstreetmap.org/"
TT(["TomTom"])
click TT "https://www.tomtom.com/"
Overture(["Overture"])
click Overture "https://overturemaps.org/"
Foursquare(["Foursquare OS Places"])
click Foursquare "https://opensource.foursquare.com/os-places/"
Spiders --> ATP
ATP --> TT
ATP --> OSM
ATP --> Overture
Overture --> Foursquare
Windows users may need to follow some extra steps, please follow the scrapy docs for up to date details.
These instructions were tested with Ubuntu 24.04 LTS on 2024-02-21.
Install uv:
curl -LsSf https://astral.sh/uv/install.sh | sh
source $HOME/.local/bin/env
Clone a copy of the project from the All the Places repo (or your own fork if you are considering contributing to the project):
git clone [email protected]:alltheplaces/alltheplaces.git
Use uv to install the project dependencies:
cd alltheplaces
uv sync
Test for successful project installation:
uv run scrapy
If the above runs without complaint, then you have a functional installation and are ready to run and write spiders.
These instructions were tested with macOS 15.3.2 on 2025-04-01.
Install uv:
brew install uv
Clone a copy of the project from the All the Places repo (or your own fork if you are considering contributing to the project):
git clone [email protected]:alltheplaces/alltheplaces.git
Use uv to install the project dependencies:
cd alltheplaces
uv sync
Test for successful project installation:
uv run scrapy
If the above runs without complaint, then you have a functional installation and are ready to run and write spiders.
You can use GitHub Codespaces to run the project. This is a cloud-based development environment that is created from the project's repository and includes a pre-configured environment with all the tools you need to develop the project. To use Codespaces, click the button below:
You can use Docker to run the project. This is a container-based development environment that is created from the project's repository and includes a pre-configured environment with all the tools you need to develop the project.
Clone a copy of the project from the All the Places repo (or your own fork if you are considering contributing to the project):
git clone [email protected]:alltheplaces/alltheplaces.git
Build the Docker image:
cd alltheplaces
docker build -t alltheplaces .
Run the Docker container:
docker run --rm -it alltheplaces
Many of the sites provide their data in a standard format. Others export their data via simple APIs. We have a number of guides to help you develop spiders:
Spiders are typically written by map makers who want the data, however we welcome brands to be involved.
The output from running the project is published on a regular cadence to our website: alltheplaces.xyz. You should not run all the spiders to pick up the output: the less the project "bothers" a website the more we will be tolerated.
Communication is primarily through tickets on the project GitHub issue tracker. Many contributors are also present on OSM US Slack, which has an #alltheplaces channel.
The data generated by our spiders is provided on our website and released under Creative Commons’ CC-0 waiver.
The spider software that produces this data (this repository) is licensed under the MIT license.