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%global _empty_manifest_terminate_build 0
Name: python-extract-emails
Version: 5.3.1
Release: 1
Summary: Extract email addresses and linkedin profiles from given URL.
License: MIT
URL: https://github.com/dmitriiweb/extract-emails
Source0: https://mirrors.aliyun.com/pypi/web/packages/d2/02/801db5e5c459ad233770f4dfb29a6e42acd6eff7d50b7606a66de04fd1b2/extract-emails-5.3.1.tar.gz
BuildArch: noarch
Requires: python3-pydantic
Requires: python3-loguru
Requires: python3-click
%description
# Extract Emails

[](https://badge.fury.io/py/extract-emails)
Extract emails and linkedins profiles from a given website
**Support the project with BTC**: *bc1q0cxl5j3se0ufhr96h8x0zs8nz4t7h6krrxkd6l*
[Documentation](https://dmitriiweb.github.io/extract-emails/)
## Requirements
- Python >= 3.7
## Installation
```
pip install extract_emails
```
## Simple Usage
### As library
```python
from pathlib import Path
from extract_emails import DefaultFilterAndEmailFactory as Factory
from extract_emails import DefaultWorker
from extract_emails.browsers.requests_browser import RequestsBrowser as Browser
from extract_emails.data_savers import CsvSaver
websites = [
"website1.com",
"website2.com",
]
browser = Browser()
data_saver = CsvSaver(save_mode="a", output_path=Path("output.csv"))
for website in websites:
factory = Factory(
website_url=website, browser=browser, depth=5, max_links_from_page=1
)
worker = DefaultWorker(factory)
data = worker.get_data()
data_saver.save(data)
```
### As CLI tool
```bash
$ extract-emails --help
$ extract-emails --url https://en.wikipedia.org/wiki/Email -of output.csv -d 1
$ cat output.csv
email,page,website
bob@b.org,https://en.wikipedia.org/wiki/Email,https://en.wikipedia.org/wiki/Email
```
%package -n python3-extract-emails
Summary: Extract email addresses and linkedin profiles from given URL.
Provides: python-extract-emails
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-extract-emails
# Extract Emails

[](https://badge.fury.io/py/extract-emails)
Extract emails and linkedins profiles from a given website
**Support the project with BTC**: *bc1q0cxl5j3se0ufhr96h8x0zs8nz4t7h6krrxkd6l*
[Documentation](https://dmitriiweb.github.io/extract-emails/)
## Requirements
- Python >= 3.7
## Installation
```
pip install extract_emails
```
## Simple Usage
### As library
```python
from pathlib import Path
from extract_emails import DefaultFilterAndEmailFactory as Factory
from extract_emails import DefaultWorker
from extract_emails.browsers.requests_browser import RequestsBrowser as Browser
from extract_emails.data_savers import CsvSaver
websites = [
"website1.com",
"website2.com",
]
browser = Browser()
data_saver = CsvSaver(save_mode="a", output_path=Path("output.csv"))
for website in websites:
factory = Factory(
website_url=website, browser=browser, depth=5, max_links_from_page=1
)
worker = DefaultWorker(factory)
data = worker.get_data()
data_saver.save(data)
```
### As CLI tool
```bash
$ extract-emails --help
$ extract-emails --url https://en.wikipedia.org/wiki/Email -of output.csv -d 1
$ cat output.csv
email,page,website
bob@b.org,https://en.wikipedia.org/wiki/Email,https://en.wikipedia.org/wiki/Email
```
%package help
Summary: Development documents and examples for extract-emails
Provides: python3-extract-emails-doc
%description help
# Extract Emails

[](https://badge.fury.io/py/extract-emails)
Extract emails and linkedins profiles from a given website
**Support the project with BTC**: *bc1q0cxl5j3se0ufhr96h8x0zs8nz4t7h6krrxkd6l*
[Documentation](https://dmitriiweb.github.io/extract-emails/)
## Requirements
- Python >= 3.7
## Installation
```
pip install extract_emails
```
## Simple Usage
### As library
```python
from pathlib import Path
from extract_emails import DefaultFilterAndEmailFactory as Factory
from extract_emails import DefaultWorker
from extract_emails.browsers.requests_browser import RequestsBrowser as Browser
from extract_emails.data_savers import CsvSaver
websites = [
"website1.com",
"website2.com",
]
browser = Browser()
data_saver = CsvSaver(save_mode="a", output_path=Path("output.csv"))
for website in websites:
factory = Factory(
website_url=website, browser=browser, depth=5, max_links_from_page=1
)
worker = DefaultWorker(factory)
data = worker.get_data()
data_saver.save(data)
```
### As CLI tool
```bash
$ extract-emails --help
$ extract-emails --url https://en.wikipedia.org/wiki/Email -of output.csv -d 1
$ cat output.csv
email,page,website
bob@b.org,https://en.wikipedia.org/wiki/Email,https://en.wikipedia.org/wiki/Email
```
%prep
%autosetup -n extract-emails-5.3.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-extract-emails -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 5.3.1-1
- Package Spec generated
|