docs:readme

README.md

@@ -8,8 +8,8 @@ work with us.*
 ## Features
 
 - Scrapes job postings from **LinkedIn**, **Indeed**, **Glassdoor**, **Google**, & **ZipRecruiter** simultaneously
-- Aggregates the job postings in a Pandas DataFrame
-- Proxies support
+- Aggregates the job postings in a dataframe
+- Proxies support to bypass blocking
 
 ![jobspy](https://github.com/cullenwatson/JobSpy/assets/78247585/ec7ef355-05f6-4fd3-8161-a817e31c5c57)
 
@@ -33,12 +33,11 @@ jobs = scrape_jobs(
     google_search_term="software engineer jobs near San Francisco, CA since yesterday",
     location="San Francisco, CA",
     results_wanted=20,
-    hours_old=72, # (only Linkedin/Indeed is hour specific, others round up to days old)
-    country_indeed='USA',  # only needed for indeed / glassdoor
+    hours_old=72,
+    country_indeed='USA',
     
-    # linkedin_fetch_description=True # get more info such as full description, direct job url for linkedin (slower)
+    # linkedin_fetch_description=True # gets more info such as description, direct job url (slower)
     # proxies=["208.195.175.46:65095", "208.195.175.45:65095", "localhost"],
-    
 )
 print(f"Found {len(jobs)} jobs")
 print(jobs.head())
@@ -68,7 +67,7 @@ Optional
 ├── search_term (str)
 |
 ├── google_search_term (str)
-|     search term for google jobs. This is is only param for filtering google jobs.
+|     search term for google jobs. This is the only param for filtering google jobs.
 │
 ├── location (str)
 │
@@ -88,7 +87,7 @@ Optional
 |    number of job results to retrieve for each site specified in 'site_name'
 │
 ├── easy_apply (bool): 
-|    filters for jobs that are hosted on the job board site
+|    filters for jobs that are hosted on the job board site (LinkedIn easy apply filter no longer works)
 │
 ├── description_format (str): 
 |    markdown, html (Format type of the job descriptions. Default is markdown.)
@@ -133,46 +132,6 @@ Optional
 |    - easy_apply
 ```
 
-
-### JobPost Schema
-
-```plaintext
-JobPost
-├── title
-├── company
-├── company_url
-├── job_url
-├── location
-│   ├── country
-│   ├── city
-│   ├── state
-├── description
-├── job_type: fulltime, parttime, internship, contract
-├── job_function
-│   ├── interval: yearly, monthly, weekly, daily, hourly
-│   ├── min_amount
-│   ├── max_amount
-│   ├── currency
-│   └── salary_source: direct_data, description (parsed from posting)
-├── date_posted
-├── emails
-└── is_remote
-
-Linkedin specific
-└── job_level
-
-Linkedin & Indeed specific
-└── company_industry
-
-Indeed specific
-├── company_country
-├── company_addresses
-├── company_employees_label
-├── company_revenue_label
-├── company_description
-└── company_logo
-```
-
 ## Supported Countries for Job Searching
 
 ### **LinkedIn**
@@ -219,7 +178,18 @@ You can specify the following countries when searching on Indeed (use the exact
 
 ---
 **Q: Why is Indeed giving unrelated roles?**  
-**A:** Indeed is searching each one of your terms e.g. software intern, it searches software OR intern. Try search_term='"software intern"' in quotes for stricter searching
+**A:** Indeed searches the description too.
+
+- use - to remove words
+- "" for exact match
+
+Example of a good Indeed query
+
+```py
+search_term='"engineering intern" software summer (java OR python OR c++) 2025 -tax -marketing'
+```
+
+This searches the description/title and must include software, summer, 2025, one of the languages, engineering intern exactly, no tax, no marketing.
 
 ---
 
@@ -231,8 +201,41 @@ You can specify the following countries when searching on Indeed (use the exact
 
 ---
 
-**Q: Encountering issues with your queries?**  
-**A:** Try reducing the number of `results_wanted` and/or broadening the filters. If problems
-persist, [submit an issue](https://github.com/Bunsly/JobSpy/issues).
+### JobPost Schema
 
----
+```plaintext
+JobPost
+├── title
+├── company
+├── company_url
+├── job_url
+├── location
+│   ├── country
+│   ├── city
+│   ├── state
+├── description
+├── job_type: fulltime, parttime, internship, contract
+├── job_function
+│   ├── interval: yearly, monthly, weekly, daily, hourly
+│   ├── min_amount
+│   ├── max_amount
+│   ├── currency
+│   └── salary_source: direct_data, description (parsed from posting)
+├── date_posted
+├── emails
+└── is_remote
+
+Linkedin specific
+└── job_level
+
+Linkedin & Indeed specific
+└── company_industry
+
+Indeed specific
+├── company_country
+├── company_addresses
+├── company_employees_label
+├── company_revenue_label
+├── company_description
+└── company_logo
+```