instastalk
Instastalk is a library initiated by a creep who develops massive crush to instagram celebrities and wishes to automate the process of backing up their photos.
How to use
pip install instastalk
from instastalk import (
AnonyStalker,
InstaStalker,
)
# no auth - only public posts (no stories)
stalker = AnonyStalker()
stalker.download_user('jjkoh95', timesleep_factor=45) # will need to create a directory 'jjkoh95'
stalker.to_pickle('anony.pkl')
# with auth
login_stalker = InstaStalker('your_username', 'your_password')
login_stalker.download_user('jjkoh95', timesleep_factor=45)
login_stalker.to_pickle('user.pkl')
# to continue last download
import pickle
with open('user.pkl', 'rb') as f:
s: InstaStalker = pickle.load(f)
s.download_user('jjkoh95')
Disclaimer
This project is initiated as a python practice and I have no intention of going against any rules and regulations of Instagram. Be a discrete creep.
Metadata
Release files for instastalk 0.1.17
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| instastalk-0.1.17.tar.gz | 5.5 kB | Without provenance | Details for instastalk-0.1.17.tar.gz |
Release files / instastalk-0.1.17.tar.gz
| Download URL | instastalk-0.1.17.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9236ca1cf7f851cefc5c61ce78a37bb8edb7436427d61220816de2cfb5651817
|
|
BLAKE2b-256 checksum How to use checksums |
bae3e82201f7e1ab3657aeec7fd6cd45969ee8d24e39a5309ecc4bfa2106aab0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.6.0.post20191030 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.7.5
|
Security for instastalk 0.1.17
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.