chore: version number

README.md

@@ -2,7 +2,11 @@
 
 **JobSpy** is a simple, yet comprehensive, job scraping library.
 
-### Looking to build a data-focused software product? [Book a call](https://calendly.com/zachary-products/15min) to learn more.
+**Not technical?** Try out the web scraping tool on our site at [usejobspy.com](https://usejobspy.com).
+
+*Looking to build a data-focused software product?* **[Book a call](https://calendly.com/zachary-products/15min)** *to work with us.*  
+\
+Check out another project we wrote: ***[HomeHarvest](https://github.com/ZacharyHampton/HomeHarvest)** – a Python package for real estate scraping*
 ## Features
 
 
@@ -164,4 +168,10 @@ You can specify the following countries when searching on Indeed (use the exact
 
 ---
 
+**Q: Experiencing a "Segmentation fault: 11" on macOS Catalina?**  
+**A:** This is due to `tls_client` dependency not supporting your architecture. Solutions and workarounds include:
+- Upgrade to a newer version of MacOS
+- Reach out to the maintainers of [tls_client](https://github.com/bogdanfinn/tls-client) for fixes
+
+
   

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "python-jobspy"
-version = "1.1.4"
+version = "1.1.7"
 description = "Job scraper for LinkedIn, Indeed & ZipRecruiter"
 authors = ["Zachary Hampton <zachary@zacharysproducts.com>", "Cullen Watson <cullen@cullen.ai>"]
 homepage = "https://github.com/cullenwatson/JobSpy"

src/jobspy/__init__.py

@@ -32,7 +32,7 @@ def scrape_jobs(
     location: str = "",
     distance: int = None,
     is_remote: bool = False,
-    job_type: JobType = None,
+    job_type: str = None,
     easy_apply: bool = False,  # linkedin
     results_wanted: int = 15,
     country_indeed: str = "usa",
@@ -44,6 +44,14 @@ def scrape_jobs(
     :return: results_wanted: pandas dataframe containing job data
     """
 
+    def get_enum_from_value(value_str):
+        for job_type in JobType:
+            if value_str in job_type.value:
+                return job_type
+        raise Exception(f"Invalid job type: {value_str}")
+    job_type = get_enum_from_value(job_type) if job_type else None
+
+
     if type(site_name) == str:
         site_type = [_map_str_to_site(site_name)]
     else:  #: if type(site_name) == list