ApplyBot
Automate your job search pipeline — for any profession.
Quick start
Technical users
pip install applybot
applybot init # 2-min guided wizard
applybot run --dry-run # test without submitting
applybot run # go live
Non-technical users
Double-click installers/install.bat (Windows) or installers/install.sh (Mac/Linux).
Commands
| Command | What it does |
|---|---|
applybot init |
Guided setup wizard |
applybot login linkedin |
Save LinkedIn session (for auto-apply) |
applybot run |
Full pipeline |
applybot run --dry-run |
Test without submitting |
applybot run --no-apply |
Scrape + generate docs only |
applybot status |
Print status table in terminal |
applybot dashboard |
Rebuild + open dashboard |
Configuration
All settings live in applybot.json (created by applybot init).
Never commit this file — it contains your API key.
Browser automation
Auto-apply to LinkedIn Easy Apply, Greenhouse, and Lever.
Setup (one time):
pip install "applybot[browser]"
playwright install chrome
applybot login linkedin # opens Chrome — log in, then close the window
Cookies are saved to sessions/linkedin_cookies.json. Keep this file private.
Supported platforms:
- LinkedIn Easy Apply
- Greenhouse
- Lever
LLM setup (optional)
ApplyBot can use an LLM to answer open-text custom questions on application forms.
Set llm_provider in applybot.json to one of:
| Provider | Description |
|---|---|
none (default) |
Skip custom questions — fill manually |
claude |
Anthropic Claude (requires llm_api_key) |
openai |
OpenAI GPT (requires llm_api_key) |
custom |
Any OpenAI-compatible endpoint (set llm_custom_url) |
Example config for Claude:
{
"llm_provider": "claude",
"llm_api_key": "sk-ant-...",
"llm_model": "claude-haiku-4-5-20251001"
}
1 maintainer
Metadata
1 maintainer
Release files for applybot 1.0.0
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 | |
|---|---|---|---|---|
| applybot-1.0.0.tar.gz | 24.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| applybot-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 44.6 kB
Release files / applybot-1.0.0.tar.gz
| Download URL | applybot-1.0.0.tar.gz |
|---|---|
| Size | 24.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.1
|
Release files / applybot-1.0.0-py3-none-any.whl
| Download URL | applybot-1.0.0-py3-none-any.whl |
|---|---|
| Size | 19.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8a931041cad3fb6b385ec698feae86050d4c88274987367fed23b6c2bd520194
|
|
BLAKE2b-256 checksum How to use checksums |
cac6e8a6188ac7e0408fd8762a1aafcd123bdda3a556fa265cc8c28ff6630f42
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.1
|
Security for applybot 1.0.0
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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