Merge pull request #349 from spectreDeveloper/v3
Added three new method to upload resume automatically.
This commit is contained in:
Federico
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commit
aa5f1dfd5b
2 changed files with 208 additions and 64 deletions
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@ -1,59 +1,58 @@
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import logging
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from typing import Dict, List
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from typing import Optional, Union, Literal
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from urllib.parse import urlencode
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from linkedin_api import Linkedin
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from typing import Optional, Union, Literal
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from urllib.parse import quote, urlencode, parse_qs, urlparse
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import logging
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import json
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# set log to all debug
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logging.basicConfig(level=logging.INFO)
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class LinkedInEvolvedAPI(Linkedin):
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already_applied_jobs: List[str] = []
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def __init__(self, username, password):
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super().__init__(username, password)
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def search_jobs(
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self,
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keywords: Optional[str] = None,
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companies: Optional[List[str]] = None,
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experience: Optional[
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List[
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Union[
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Literal["1"],
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Literal["2"],
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Literal["3"],
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Literal["4"],
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Literal["5"],
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Literal["6"],
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]
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self,
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keywords: Optional[str] = None,
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companies: Optional[List[str]] = None,
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experience: Optional[
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List[
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Union[
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Literal["1"],
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Literal["2"],
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Literal["3"],
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Literal["4"],
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Literal["5"],
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Literal["6"],
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]
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] = None,
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job_type: Optional[
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List[
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Union[
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Literal["F"],
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Literal["C"],
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Literal["P"],
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Literal["T"],
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Literal["I"],
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Literal["V"],
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Literal["O"],
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]
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]
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] = None,
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job_type: Optional[
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List[
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Union[
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Literal["F"],
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Literal["C"],
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Literal["P"],
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Literal["T"],
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Literal["I"],
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Literal["V"],
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Literal["O"],
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]
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] = None,
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job_title: Optional[List[str]] = None,
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industries: Optional[List[str]] = None,
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location_name: Optional[str] = None,
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remote: Optional[List[Union[Literal["1"], Literal["2"], Literal["3"]]]] = None,
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listed_at: None | int = None,
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distance: Optional[int] = None,
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easy_apply: Optional[bool] = True,
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limit=-1,
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offset=0,
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**kwargs,
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]
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] = None,
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job_title: Optional[List[str]] = None,
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industries: Optional[List[str]] = None,
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location_name: Optional[str] = None,
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remote: Optional[List[Union[Literal["1"], Literal["2"], Literal["3"]]]] = None,
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listed_at: None | int = None,
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distance: Optional[int] = None,
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easy_apply: Optional[bool] = True,
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limit=-1,
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offset=0,
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**kwargs,
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) -> List[Dict]:
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"""Perform a LinkedIn search for jobs.
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@ -155,21 +154,21 @@ class LinkedInEvolvedAPI(Linkedin):
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e["job_id"] = trackingUrn
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if e.get("$type") == "com.linkedin.voyager.dash.jobs.JobPosting":
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new_data.append(e)
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if not new_data:
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break
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results.extend(new_data)
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if (
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(-1 < limit <= len(results))
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or len(results) / count >= Linkedin._MAX_REPEATED_REQUESTS
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(-1 < limit <= len(results))
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or len(results) / count >= Linkedin._MAX_REPEATED_REQUESTS
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) or len(elements) == 0:
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break
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self.logger.debug(f"results grew to {len(results)}")
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return results
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def get_fields_for_easy_apply(self, job_id: str) -> List[Dict]:
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def get_fields_for_easy_apply(self,job_id: str) -> List[Dict]:
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"""Get fields needed for easy apply jobs.
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:param job_id: Job ID
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@ -182,12 +181,14 @@ class LinkedInEvolvedAPI(Linkedin):
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cookie_str = "; ".join([f"{k}={v}" for k, v in cookies.items()])
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headers: Dict[str, str] = self._headers()
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headers["Accept"] = "application/vnd.linkedin.normalized+json+2.1"
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headers["csrf-token"] = cookies["JSESSIONID"].replace('"', "")
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headers["Cookie"] = cookie_str
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headers["Connection"] = "keep-alive"
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default_params = {
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"decorationId": "com.linkedin.voyager.dash.deco.jobs.OnsiteApplyApplication-67",
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"jobPostingUrn": f"urn:li:fsd_jobPosting:{job_id}",
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@ -216,26 +217,26 @@ class LinkedInEvolvedAPI(Linkedin):
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except ValueError:
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self.logger.error("Failed to parse JSON response")
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return []
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form_components = []
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for item in data.get("included", []):
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if 'formComponent' in item:
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if 'formComponent' in item:
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urn = item['urn']
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try:
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title = item['title']['text']
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except TypeError:
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title = urn
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form_component_type = list(item['formComponent'].keys())[0]
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form_component_details = item['formComponent'][form_component_type]
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component_info = {
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'title': title,
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'urn': urn,
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'formComponentType': form_component_type,
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}
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if 'textSelectableOptions' in form_component_details:
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options = [
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opt['optionText']['text'] for opt in form_component_details['textSelectableOptions']
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@ -243,18 +244,18 @@ class LinkedInEvolvedAPI(Linkedin):
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component_info['selectableOptions'] = options
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elif 'selectableOptions' in form_component_details:
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options = [
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opt['textSelectableOption']['optionText']['text']
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opt['textSelectableOption']['optionText']['text']
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for opt in form_component_details['selectableOptions']
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]
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component_info['selectableOptions'] = options
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form_components.append(component_info)
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return form_components
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def apply_to_job(self, job_id: str, fields: dict, followCompany: bool = True) -> bool:
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def apply_to_job(self,job_id: str, fields: dict, followCompany: bool = True) -> bool:
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return False
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# ToDo: Implement apply to job parser first
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# How need to be implemented:
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# 1. Get fields for easy apply job from the previous method (get_fields_for_easy_apply)
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@ -264,11 +265,11 @@ class LinkedInEvolvedAPI(Linkedin):
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# {'title': 'Quanti anni di esperienza di lavoro hai con Router?', 'urn': 'urn:li:fsd_formElement:urn:li:jobs_applyformcommon_easyApplyFormElement:(4013860791,9478711764,numeric)', 'formComponentType': 'singleLineTextFormComponent', 'response': '5'}
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# To fill, you can temporary use input() function to get the data from the user manually for testing purposes (for the further implementation, the question will be asked to AI implementation and automatically filled)
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# Build a working payload.
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# EXAMPLE OF WORKING PAYLOAD
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# 4005350454 is job_id, so need to be replaced with the job_id
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# {
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#{
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# "followCompany": true,
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# "responses": [
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# {
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@ -348,23 +349,161 @@ class LinkedInEvolvedAPI(Linkedin):
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# }
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# ],
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# "trackingId": ""
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# }
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#}
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# Push the commit to the repository and create a pull request to the v3 branch.
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def create_request_pdf(self, filename: str) -> str | None:
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"""
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Create a PDF file with the request data.
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:param filename: Name of the file
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:type filename: str | None
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:return: URL of the file uploaded to the LinkedIn.
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"""
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cookies = self.client.session.cookies.get_dict()
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cookie_str = "; ".join([f"{k}={v}" for k, v in cookies.items()])
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headers: Dict[str, str] = self._headers()
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headers["Accept"] = "application/vnd.linkedin.normalized+json+2.1"
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headers["csrf-token"] = cookies["JSESSIONID"].replace('"', "")
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headers["Cookie"] = cookie_str
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headers["Connection"] = "keep-alive"
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default_params = {
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'action': 'requestUrl'
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}
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res = self._post(
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f"/voyagerJobsDashAmbryUploadUrls",
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headers=headers,
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cookies=cookies,
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json={"contentType":"PDF","filename":"200.pdf","maxSizeBytes":18810},
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params=default_params
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)
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match res.status_code:
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case 200:
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parse_res = res.json()
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url = parse_res['data']['value']
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logging.info(url)
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return url
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case _:
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self.logger.error("Failed to create a request PDF")
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return None
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def upload_resume_via_ambry(self, url: str, cv_path: str) -> bool | str:
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"""
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Upload resume via Ambry.
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:param url: URL of the file uploaded to the LinkedIn.
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:type url: str
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:param raw_cv: Raw CV data
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:type raw_cv: bytes
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:return: PDF hash.pdf or false
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"""
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binary_cv: bytes = self.file_to_binary(cv_path)
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cookies = self.client.session.cookies.get_dict()
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cookie_str = "; ".join([f"{k}={v}" for k, v in cookies.items()])
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headers: Dict[str, str] = self._headers()
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headers["Accept"] = "application/vnd.linkedin.normalized+json+2.1"
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headers["csrf-token"] = cookies["JSESSIONID"].replace('"', "")
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headers["Cookie"] = cookie_str
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headers["Connection"] = "keep-alive"
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ambry_url = url.replace("https://www.linkedin.com", "")
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res = self._post(
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ambry_url,
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base_request=True,
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headers=headers,
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cookies=cookies,
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data=binary_cv,
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)
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match res.status_code:
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case 201:
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return res.headers['Location']
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case _:
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self.logger.error("Failed to upload resume via Ambry")
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return False
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def confirm_upload_resume(self, cv_hash: str) -> bool:
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"""
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Upload resume.
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:param cv_hash: PDF hash
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:type cv_hash: str
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:return: True if success, False if failed
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"""
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cookies = self.client.session.cookies.get_dict()
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cookie_str = "; ".join([f"{k}={v}" for k, v in cookies.items()])
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headers: Dict[str, str] = self._headers()
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headers["Accept"] = "application/vnd.linkedin.normalized+json+2.1"
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headers["csrf-token"] = cookies["JSESSIONID"].replace('"', "")
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headers["Cookie"] = cookie_str
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headers["Connection"] = "keep-alive"
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json_data = {'entityUrn': f'urn:li:fsd_resume:{cv_hash}'}
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res = self._post(
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"/voyagerJobsDashResumes",
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headers=headers,
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cookies=cookies,
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json=json_data,
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)
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match res.status_code:
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case 201:
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return True
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case _:
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self.logger.error("Failed to upload resume")
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return False
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def file_to_binary(self, file_path):
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with open(file_path, 'rb') as file:
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binary_data = file.read()
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return binary_data
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def set_job_as_applied(self, job_id: str) -> None:
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self.already_applied_jobs.append(job_id)
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def upload_linkedin_resume(self, cv_path: str) -> str | bool:
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url = self.create_request_pdf("resume.pdf")
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if url:
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cv_hash = self.upload_resume_via_ambry(url, cv_path)
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if cv_hash:
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self.confirm_upload_resume(cv_hash)
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return cv_hash
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return False
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## EXAMPLE USAGE
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if __name__ == "__main__":
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api: LinkedInEvolvedAPI = LinkedInEvolvedAPI(username="", password="")
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jobs = api.search_jobs(keywords="Frontend Developer", location_name="Italia", limit=100, easy_apply=True, offset=1,
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listed_at=None)
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jobs = api.search_jobs(keywords="Frontend Developer", location_name="Italia", limit=100, easy_apply=True, offset=1, listed_at=None)
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for job in jobs:
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job_id: str = job["job_id"]
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print(f"Job ID: {job_id}")
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continue
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resume: str = api.upload_linkedin_resume("resume.pdf")
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if isinstance(resume, bool):
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logging.error("Failed to upload resume")
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continue
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elif isinstance(resume, str):
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logging.info(f"Resume uploaded with hash {resume}")
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else:
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logging.error("Unknown error")
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continue
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if job_id in api.already_applied_jobs:
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logging.info(f"Already applied to job {job_id}, skipping it")
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@ -373,4 +512,9 @@ if __name__ == "__main__":
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fields = api.get_fields_for_easy_apply(job_id)
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for field in fields:
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print(field)
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break
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