docs:readme

README.md

@@ -37,7 +37,7 @@ jobs = scrape_jobs(
     hours_old=72, # (only Linkedin/Indeed is hour specific, others round up to days old)
     country_indeed='USA',  # only needed for indeed / glassdoor
     
-    # linkedin_fetch_description=True # get full description , direct job url , company industry and job level (seniority level) for linkedin (slower)
+    # linkedin_fetch_description=True # get more info such as full description, direct job url for linkedin (slower)
     # proxies=["208.195.175.46:65095", "208.195.175.45:65095", "localhost"],
     
 )
@@ -216,10 +216,8 @@ You can specify the following countries when searching on Indeed (use the exact
 ## Frequently Asked Questions
 
 ---
-
-**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).
+**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
 
 ---
 
@@ -230,3 +228,9 @@ persist, [submit an issue](https://github.com/Bunsly/JobSpy/issues).
 - Try using the proxies param to change your IP address.
 
 ---
+
+**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).
+
+---

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "python-jobspy"
-version = "1.1.62"
+version = "1.1.66"
 description = "Job scraper for LinkedIn, Indeed, Glassdoor & ZipRecruiter"
 authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
 homepage = "https://github.com/Bunsly/JobSpy"

src/jobspy/scrapers/indeed/__init__.py

@@ -364,8 +364,8 @@ class IndeedScraper(Scraper):
             {what}
             {location}
             limit: 100
-            sort: DATE
             {cursor}
+            sort: RELEVANCE
             {filters}
           ) {{
             pageInfo {{

src/jobspy/scrapers/linkedin/__init__.py

@@ -236,7 +236,7 @@ class LinkedInScraper(Scraper):
         """
         try:
             response = self.session.get(
-                f"{self.base_url}/jobs-guest/jobs/api/jobPosting/{job_id}", timeout=5
+                f"{self.base_url}/jobs/view/{job_id}", timeout=5
             )
             response.raise_for_status()
         except:

src/jobspy/scrapers/utils.py

@@ -198,6 +198,7 @@ def extract_salary(
     if not salary_str:
         return None, None, None, None
 
+    annual_max_salary = None
     min_max_pattern = r"\$(\d+(?:,\d+)?(?:\.\d+)?)([kK]?)\s*[-—–]\s*(?:\$)?(\d+(?:,\d+)?(?:\.\d+)?)([kK]?)"
 
     def to_int(s):
@@ -238,6 +239,8 @@ def extract_salary(
             annual_max_salary = max_salary
 
         # Ensure salary range is within specified limits
+        if not annual_max_salary:
+            return None, None, None, None
         if (
             lower_limit <= annual_min_salary <= upper_limit
             and lower_limit <= annual_max_salary <= upper_limit

src/jobspy/scrapers/ziprecruiter/__init__.py

@@ -200,7 +200,7 @@ class ZipRecruiterScraper(Scraper):
             script_tag = soup.find("script", type="application/json")
             if script_tag:
                 job_json = json.loads(script_tag.string)
-                job_url_val = job_json["model"]["saveJobURL"]
+                job_url_val = job_json["model"].get("saveJobURL", "")
                 m = re.search(r"job_url=(.+)", job_url_val)
                 if m:
                     job_url_direct = m.group(1)