fix(indeed): readd param

pull/130/head
Cullen 2024-03-11 21:23:20 -05:00
parent 0d150d519f
commit 3e93454738
4 changed files with 12 additions and 3 deletions

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@ -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)

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@ -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 <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
homepage = "https://github.com/Bunsly/JobSpy"

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@ -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,

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@ -150,6 +150,15 @@ class IndeedScraper(Scraper):
""".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",