fix(indeed): readd param

README.md

@@ -69,7 +69,7 @@ Optional
 ├── proxy (str): in format 'http://user:pass@host:port'
 ├── is_remote (bool)
 ├── results_wanted (int): number of job results to retrieve for each site specified in 'site_type'
-├── easy_apply (bool): filters for jobs that are hosted on the job board site (not supported on Indeed)
+├── easy_apply (bool): filters for jobs that are hosted on the job board site (LinkedIn & Indeed do not allow pairing this with hours_old)
 ├── linkedin_fetch_description (bool): fetches full description for LinkedIn (slower)
 ├── linkedin_company_ids (list[int): searches for linkedin jobs with specific company ids
 ├── description_format (str): markdown, html (format type of the job descriptions)

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "python-jobspy"
-version = "1.1.50"
+version = "1.1.51"
 description = "Job scraper for LinkedIn, Indeed, Glassdoor & ZipRecruiter"
 authors = ["Zachary Hampton <[email protected]>", "Cullen Watson <[email protected]>"]
 homepage = "https://github.com/Bunsly/JobSpy"

src/jobspy/__init__.py

@@ -41,7 +41,7 @@ def scrape_jobs(
 ) -> pd.DataFrame:
     """
     Simultaneously scrapes job data from multiple job sites.
-    :return: results_wanted: pandas dataframe containing job data
+    :return: pandas dataframe containing job data
     """
     SCRAPER_MAPPING = {
         Site.LINKEDIN: LinkedInScraper,

src/jobspy/scrapers/indeed/__init__.py

@@ -150,6 +150,15 @@ def _build_filters(self):
             """.format(
                 start=self.scraper_input.hours_old
             )
+        elif self.scraper_input.easy_apply:
+            filters_str = """
+            filters: {
+                keyword: {
+                  field: "indeedApplyScope",
+                  keys: ["DESKTOP"]
+                }
+            }
+            """
         elif self.scraper_input.job_type or self.scraper_input.is_remote:
             job_type_key_mapping = {
                 JobType.FULL_TIME: "CF3CP",