linkedin-pulse-search-posts
PyPI package for LinkedIn feed post search. Python import: linkedin_search_posts.
Description
LinkedIn feed post search. Depends on linkedin-search-core and does not import the jobs library.
Requires Python 3.11+.
Installation
pip install linkedin-pulse-search-posts
That also installs linkedin-search-core.
Local editable install from this monorepo (core first):
pip install -e packages/linkedin-search-core
pip install -e packages/linkedin-search-posts
Dependencies
linkedin-search-core>=0.1.0playwright>=1.49.0
Usage
from linkedin_search_core import LinkedInSession
from linkedin_search_posts import PostSearch
with LinkedInSession(cookies=cookies) as session:
posts = PostSearch(session).fetch(limit=10)
API
PostSearch.fetch(limit=10)— open the feed, scroll, and parse postsPostSearch.read(limit=10)— parse posts already on the current pagePostSearch.search(limit=10)— alias offetchAuthor,Post
1 maintainer
Release files for linkedin-pulse-search-posts 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| linkedin_pulse_search_posts-0.1.1.tar.gz | 20.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| linkedin_pulse_search_posts-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 48.0 kB
Release files / linkedin_pulse_search_posts-0.1.1.tar.gz
| Download URL | linkedin_pulse_search_posts-0.1.1.tar.gz |
|---|---|
| Size | 20.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.12.1
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Release files / linkedin_pulse_search_posts-0.1.1-py3-none-any.whl
| Download URL | linkedin_pulse_search_posts-0.1.1-py3-none-any.whl |
|---|---|
| Size | 27.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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5abf225e93e83448ff9b094407d374c6afda359d858d0f2c9c016bbdaa688d36
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.1
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