added mongo to save new jobs, new column to jobPost beacause mongo doesnt support date,

src/jobspy/__init__.py

@@ -1,10 +1,13 @@
 from __future__ import annotations
+from datetime import datetime
 
 import pandas as pd
-from typing import Tuple
+from typing import List, Tuple
 from concurrent.futures import ThreadPoolExecutor, as_completed
 
-from .jobs import JobType, Location
+from pymongo import MongoClient, UpdateOne
+
+from .jobs import JobPost, JobType, Location
 from .scrapers.utils import set_logger_level, extract_salary, create_logger
 from .scrapers.indeed import IndeedScraper
 from .scrapers.ziprecruiter import ZipRecruiterScraper
@@ -19,7 +22,14 @@ from .scrapers.exceptions import (
     GlassdoorException,
     GoogleJobsException,
 )
+# Connect to MongoDB server
+client = MongoClient("mongodb://localhost:27017/")
 
+# Access a database (it will be created automatically if it doesn't exist)
+db = client["jobs_database"]
+
+# Access a collection
+jobs_collection = db["jobs"]
 
 def scrape_jobs(
     site_name: str | list[str] | Site | list[Site] | None = None,
@@ -103,10 +113,49 @@ def scrape_jobs(
         hours_old=hours_old,
     )
 
+    # def insert_jobs(jobs: List[JobPost], collection):
+    #     # Convert JobPost objects to dictionaries
+    #     # job_dicts = [job.model_dump() for job in jobs]
+    #     job_dicts = [job.model_dump(exclude={"date_posted"}) for job in jobs]
+    #     collection.insert_many(job_dicts)
+    #     print(f"Inserted {len(job_dicts)} jobs into MongoDB.")
+    def insert_jobs(jobs: List[JobPost], collection):
+        """
+        Perform bulk upserts for a list of JobPost objects into a MongoDB collection.
+        Only insert new jobs and return the list of newly inserted jobs.
+        """
+        operations = []
+        new_jobs = []  # List to store the new jobs inserted into MongoDB
+
+        for job in jobs:
+            job_dict = job.model_dump(exclude={"date_posted"})
+            operations.append(
+                UpdateOne(
+                    {"id": job.id},  # Match by `id`
+                    {"$setOnInsert": job_dict},  # Only set fields if the job is being inserted (not updated)
+                    upsert=True  # Insert if not found, but do not update if already exists
+                )
+            )
+
+        if operations:
+            # Execute all operations in bulk
+            result = collection.bulk_write(operations)
+            print(f"Matched: {result.matched_count}, Upserts: {result.upserted_count}, Modified: {result.modified_count}")
+
+            # Get the newly inserted jobs (those that were upserted)
+            # The `upserted_count` corresponds to how many new documents were inserted
+            for i, job in enumerate(jobs):
+                if result.upserted_count > 0 and i < result.upserted_count:
+                    new_jobs.append(job)
+                    print(f"New Job ID: {job.id}, Label: {job.label}")
+
+        return new_jobs
+    
     def scrape_site(site: Site) -> Tuple[str, JobResponse]:
         scraper_class = SCRAPER_MAPPING[site]
         scraper = scraper_class(proxies=proxies, ca_cert=ca_cert)
         scraped_data: JobResponse = scraper.scrape(scraper_input)
+        insert_jobs(scraped_data.jobs, jobs_collection)
         cap_name = site.value.capitalize()
         site_name = "ZipRecruiter" if cap_name == "Zip_recruiter" else cap_name
         create_logger(site_name).info(f"finished scraping")

src/jobspy/jobs/__init__.py

@@ -1,7 +1,8 @@
 from __future__ import annotations
 
+from dataclasses import Field
 from typing import Optional
-from datetime import date
+from datetime import date, datetime
 from enum import Enum
 from pydantic import BaseModel
 
@@ -240,7 +241,8 @@ class JobPost(BaseModel):
 
     job_type: list[JobType] | None = None
     compensation: Compensation | None = None
-    date_posted: date | None = None
+    date_posted: date | None
+    datetime_posted: datetime | None = None
     emails: list[str] | None = None
     is_remote: bool | None = None
     listing_type: str | None = None
@@ -262,6 +264,10 @@ class JobPost(BaseModel):
     # linkedin only atm
     job_function: str | None = None
 
+    class Config:
+        # Exclude `date_posted` in model dumps
+        exclude = {"date_posted"}
+
 
 class JobResponse(BaseModel):
     jobs: list[JobPost] = []

src/jobspy/scrapers/glassdoor/__init__.py

@@ -73,10 +73,11 @@ class GlassdoorScraper(Scraper):
         self.session.headers.update(headers)
         job_list: list[JobPost] = [];
         for location in scraper_input.locations:
-            glassDoorLocatiions = self._get_locations(
+            glassDoorLocatiions: List[GlassDoorLocationResponse] = self._get_locations(
                 location, scraper_input.is_remote
             )
             for glassDoorLocatiion in glassDoorLocatiions:
+                logger.info(f"Location: {glassDoorLocatiion.longName}")
                 locationType = get_location_type(glassDoorLocatiion);
                 locationId = get_location_id(glassDoorLocatiion);
                 jobs_temp = self.get_jobs(scraper_input,locationId,locationType);
@@ -198,7 +199,7 @@ class GlassdoorScraper(Scraper):
         location_type = job["header"].get("locationType", "")
         age_in_days = job["header"].get("ageInDays")
         is_remote, location = False, None
-        date_diff = (datetime.now() - timedelta(days=age_in_days)).date()
+        date_diff = (datetime.now() - timedelta(days=age_in_days))
         date_posted = date_diff if age_in_days is not None else None
 
         if location_type == "S":
@@ -226,7 +227,8 @@ class GlassdoorScraper(Scraper):
             title=title,
             company_url=company_url if company_id else None,
             company_name=company_name,
-            date_posted=date_posted,
+            date_posted=date_posted.date(),
+            datetime_posted=date_posted,
             job_url=job_url,
             location=location,
             compensation=compensation,

src/main.py

@@ -17,5 +17,6 @@ jobs = scrape_jobs(
     # proxies=["208.195.175.46:65095", "208.195.175.45:65095", "localhost"],
 )
 print(f"Found {len(jobs)} jobs")
-print(jobs.head())
-jobs.to_csv("jobs.csv", quoting=csv.QUOTE_NONNUMERIC, escapechar="\\", index=False) # to_excel
+
+# print(jobs.head())
+# jobs.to_csv("jobs.csv", quoting=csv.QUOTE_NONNUMERIC, escapechar="\\", index=False) # to_excel