Автоматизация
AI_Find_Customer
Run ai_find_customer locally: 面向外贸与 b2b 场景的 ai 客户挖掘系统，基于 fastapi、langgraph 和 react，实现.
★ 181 звездаMIT
Смотреть руководство →python-scrapfly — проект с открытым исходным кодом из категории «Автоматизация» от scrapfly (scrapfly/python-scrapfly на GitHub). У него 62 звезды на GitHub и 17 форков, он распространяется по лицензии NOASSERTION и последний раз обновлялся на GitHub 26 сентября 2026.
Official Python SDK designed for the Scrapfly platform: web scraping.
Decide what you want python-scrapfly to do first — official Python SDK designed for the Scrapfly platform: web scraping, .
The README documents setup; start with the install section.
Pull the latest changes to stay current with fixes.
Change the config to match your workflow, then run it daily.
Working anti bot support built in.
Working antidetect browser support built in.
Working bot detection support built in.
Working browser automation support built in.
Readable code that is easy to modify.
Read and audit every line on GitHub.
Download the source and move into the project folder.
git clone https://github.com/scrapfly/python-scrapfly.git
cd python-scrapflyInstall the Python dependencies from the project.
pip install -r requirements.txtLaunch with the project entry point — check the README for the exact command.
python main.py # see README for the exact entry pointThe repo declares no license, so check with the maintainers before using it in anything commercial.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under NOASSERTION. Read the LICENSE file in the repo for the exact terms.
Yes — it lives on GitHub at scrapfly/python-scrapfly. Open an issue or pull request; the contribution guide in the repo explains the process.
Run ai_find_customer locally: 面向外贸与 b2b 场景的 ai 客户挖掘系统，基于 fastapi、langgraph 和 react，实现.
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