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README.md
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@ -515,19 +515,83 @@ Using this folder as a guide can be particularly helpful for:
python main.py --resume /path/to/your/resume.pdf
```
## Documentation
TODO ):
### Troubleshooting Common Issues
#### 1. OpenAI API Rate Limit Errors
**Error Message:**
openai.RateLimitError: Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.', 'type': 'insufficient_quota', 'param': None, 'code': 'insufficient_quota'}}
**Solution:**
- Check your OpenAI API billing settings at https://platform.openai.com/account/billing
- Ensure you have added a valid payment method to your OpenAI account
- Note that ChatGPT Plus subscription is different from API access
- If you've recently added funds or upgraded, wait 12-24 hours for changes to take effect
- Free tier has a 3 RPM limit; spend at least $5 on API usage to increase
#### 2. LinkedIn Easy Apply Button Not Found
**Error Message:**
Exception: No clickable 'Easy Apply' button found
**Solution:**
- Ensure that you're logged into LinkedIn properly
- Check if the job listings you're targeting actually have the "Easy Apply" option
- Verify that your search parameters in the `config.yaml` file are correct and returning jobs with the "Easy Apply" button
- Try increasing the wait time for page loading in the script to ensure all elements are loaded before searching for the button
#### 3. Incorrect Information in Job Applications
**Issue:** Bot provides inaccurate data for experience, CTC, and notice period
**Solution:**
- Update prompts for professional experience specificity
- Add fields in `config.yaml` for current CTC, expected CTC, and notice period
- Modify bot logic to use these new config fields
#### 4. YAML Configuration Errors
**Error Message:**
yaml.scanner.ScannerError: while scanning a simple key
**Solution:**
- Copy example `config.yaml` and modify gradually
- Ensure proper YAML indentation and spacing
- Use a YAML validator tool
- Avoid unnecessary special characters or quotes
#### 5. Bot Logs In But Doesn't Apply to Jobs
**Issue:** Bot searches for jobs but continues scrolling without applying
**Solution:**
- Check for security checks or CAPTCHAs
- Verify `config.yaml` job search parameters
- Ensure your LinkedIn profile meets job requirements
- Review console output for error messages
### General Troubleshooting Tips
- Use the latest version of the script
- Verify all dependencies are installed and updated
- Check internet connection stability
- Use VPNs cautiously to avoid triggering LinkedIn security
- Clear browser cache and cookies if issues persist
For further assistance, please create an issue on the [GitHub repository](https://github.com/feder-cr/LinkedIn_AIHawk_automatic_job_application/issues) with detailed information about your problem, including error messages and your configuration (with sensitive information removed).
### Additional Resources
- [Video Tutorial: How to set up LinkedIn_AIHawk](https://youtu.be/gdW9wogHEUM)
- [OpenAI API Documentation](https://platform.openai.com/docs/)
- [LinkedIn Developer Documentation](https://developer.linkedin.com/)
- [Lang Chain Developer Documentation](https://python.langchain.com/v0.2/docs/integrations/components/)
## Troubleshooting
- **Carefully read logs and output :** Most of the errors are verbosely reflected just watch the output and try to find the root couse.
- **If nothing works by unknown reason:** Use tested OS. Reboot and/or update OS. Use new clean venv. Try update Python to the tested version.
- **ChromeDriver Issues:** Ensure ChromeDriver is compatible with your installed Chrome version.
- **Missing Files:** Verify that all necessary files are present in the data folder.
- **Invalid YAML:** Check your YAML files for syntax errors . Try to use external YAML validators e.g. https://www.yamllint.com/
- **OpenAI endpoint isues**: Try to check possible limits\blocking at their side
If you encounter any issues, you can open an issue on [GitHub](https://github.com/feder-cr/linkedIn_auto_jobs_applier_with_AI/issues).
Please add valuable details to the subject and to the description. If you need new feature then please reflect this.
I'll be more than happy to assist you!

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requirements.txt
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src/linkedin-api.py Normal file
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from typing import Dict, List
from linkedin_api import Linkedin
from typing import Optional, Union, Literal
from urllib.parse import urlencode
class LinkedInEvolvedAPI(Linkedin):
def __init__(self, username, password):
super().__init__(username, password)
def search_jobs(
self,
keywords: Optional[str] = None,
companies: Optional[List[str]] = None,
experience: Optional[
List[
Union[
Literal["1"],
Literal["2"],
Literal["3"],
Literal["4"],
Literal["5"],
Literal["6"],
]
]
] = None,
job_type: Optional[
List[
Union[
Literal["F"],
Literal["C"],
Literal["P"],
Literal["T"],
Literal["I"],
Literal["V"],
Literal["O"],
]
]
] = None,
job_title: Optional[List[str]] = None,
industries: Optional[List[str]] = None,
location_name: Optional[str] = None,
remote: Optional[List[Union[Literal["1"], Literal["2"], Literal["3"]]]] = None,
listed_at=24 * 60 * 60,
distance: Optional[int] = None,
easy_apply: Optional[bool] = True,
limit=-1,
offset=0,
**kwargs,
) -> List[Dict]:
"""Perform a LinkedIn search for jobs.
:param keywords: Search keywords (str)
:type keywords: str, optional
:param companies: A list of company URN IDs (str)
:type companies: list, optional
:param experience: A list of experience levels, one or many of "1", "2", "3", "4", "5" and "6" (internship, entry level, associate, mid-senior level, director and executive, respectively)
:type experience: list, optional
:param job_type: A list of job types , one or many of "F", "C", "P", "T", "I", "V", "O" (full-time, contract, part-time, temporary, internship, volunteer and "other", respectively)
:type job_type: list, optional
:param job_title: A list of title URN IDs (str)
:type job_title: list, optional
:param industries: A list of industry URN IDs (str)
:type industries: list, optional
:param location_name: Name of the location to search within. Example: "Kyiv City, Ukraine"
:type location_name: str, optional
:param remote: Filter for remote jobs, onsite or hybrid. onsite:"1", remote:"2", hybrid:"3"
:type remote: list, optional
:param listed_at: maximum number of seconds passed since job posting. 86400 will filter job postings posted in last 24 hours.
:type listed_at: int/str, optional. Default value is equal to 24 hours.
:param distance: maximum distance from location in miles
:type distance: int/str, optional. If not specified, None or 0, the default value of 25 miles applied.
:param easy_apply: filter for jobs that are easy to apply to
:type easy_apply: bool, optional. Default value is True.
:param limit: maximum number of results obtained from API queries. -1 means maximum which is defined by constants and is equal to 1000 now.
:type limit: int, optional, default -1
:param offset: indicates how many search results shall be skipped
:type offset: int, optional
:return: List of jobs
:rtype: list
"""
count = Linkedin._MAX_SEARCH_COUNT
if limit is None:
limit = -1
query: Dict[str, Union[str, Dict[str, str]]] = {
"origin": "JOB_SEARCH_PAGE_QUERY_EXPANSION"
}
if keywords:
query["keywords"] = "KEYWORD_PLACEHOLDER"
if location_name:
query["locationFallback"] = "LOCATION_PLACEHOLDER"
query["selectedFilters"] = {}
if companies:
query["selectedFilters"]["company"] = f"List({','.join(companies)})"
if experience:
query["selectedFilters"]["experience"] = f"List({','.join(experience)})"
if job_type:
query["selectedFilters"]["jobType"] = f"List({','.join(job_type)})"
if job_title:
query["selectedFilters"]["title"] = f"List({','.join(job_title)})"
if industries:
query["selectedFilters"]["industry"] = f"List({','.join(industries)})"
if distance:
query["selectedFilters"]["distance"] = f"List({distance})"
if remote:
query["selectedFilters"]["workplaceType"] = f"List({','.join(remote)})"
if easy_apply:
query["selectedFilters"]["easyApply"] = "List(true)"
query["selectedFilters"]["timePostedRange"] = f"List(r{listed_at})"
query["spellCorrectionEnabled"] = "true"
query_string = (
str(query)
.replace(" ", "")
.replace("'", "")
.replace("KEYWORD_PLACEHOLDER", keywords or "")
.replace("LOCATION_PLACEHOLDER", location_name or "")
.replace("{", "(")
.replace("}", ")")
)
results = []
while True:
if limit > -1 and limit - len(results) < count:
count = limit - len(results)
default_params = {
"decorationId": "com.linkedin.voyager.dash.deco.jobs.search.JobSearchCardsCollection-174",
"count": count,
"q": "jobSearch",
"query": query_string,
"start": len(results) + offset,
}
res = self._fetch(
f"/voyagerJobsDashJobCards?{urlencode(default_params, safe='(),:')}",
headers={"accept": "application/vnd.linkedin.normalized+json+2.1"},
)
data = res.json()
elements = data.get("included", [])
new_data = []
for e in elements:
trackingUrn = e.get("trackingUrn")
if trackingUrn:
trackingUrn = trackingUrn.split(":")[-1]
e["job_id"] = trackingUrn
if e.get("$type") == "com.linkedin.voyager.dash.jobs.JobPosting":
new_data.append(e)
if not new_data:
break
results.extend(new_data)
if (
(-1 < limit <= len(results))
or len(results) / count >= Linkedin._MAX_REPEATED_REQUESTS
) or len(elements) == 0:
break
self.logger.debug(f"results grew to {len(results)}")
return results