Pricing

$20.00/month + usage

Job Finder – Multi-Site Job Scraper

Scrapes LinkedIn, Indeed, Glassdoor, ZipRecruiter, and Google Jobs simultaneously. Returns structured, deduplicated job listings with detailed info like title, company, location, salary, and remote options. Optionally exports results as a CSV.

Pricing

$20.00/month + usage

Rating

0.0

(0)

Developer

Jamshaid Arif

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Supported Sites

Site	Key
LinkedIn	`linkedin`
Indeed	`indeed`
Glassdoor	`glassdoor`
ZipRecruiter	`zip_recruiter`
Google Jobs	`google`

Input Example

{
  "search_term": "python developer",
  "location": "United States",
  "site_names": ["linkedin", "indeed"],
  "results_wanted": 100,
  "hours_old": 72,
  "distance": 50,
  "job_type": "fulltime",
  "is_remote": false,
  "country_indeed": "United States",
  "export_csv": true
}

Input Parameters

Parameter	Type	Default	Description
`search_term`	string	`python developer`	Job title / keywords
`location`	string	`United States`	Geographic area
`site_names`	string[]	`[linkedin,indeed]`	Which boards to scrape
`results_wanted`	integer	`100`	Max results per site
`hours_old`	integer	`72`	Only jobs posted within N hours
`distance`	integer	`50`	Radius in miles
`job_type`	string	(any)	`fulltime`, `parttime`, `internship`, `contract`
`is_remote`	boolean	`false`	Only remote positions
`country_indeed`	string	`United States`	Country for Indeed domain
`export_csv`	boolean	`true`	Also save CSV to key-value store

Output

Each record in the default dataset contains:

site, title, company, company_url, location, date_posted, job_url,
job_type, salary_source, interval, min_amount, max_amount, currency,
description, emails, is_remote, scraped_at, search_term, search_location

If export_csv is enabled, a ready-to-download jobs.csv file is also saved to the run's default key-value store.

Running Locally

# Install deps
pip install -r requirements.txt

# Create input
mkdir -p storage/key_value_stores/default
echo '{"search_term":"data engineer","location":"New York","site_names":["linkedin"],"results_wanted":10,"hours_old":24}' \
  > storage/key_value_stores/default/INPUT.json

# Run
python -m src

Deploying to Apify

apify login
apify push

Then trigger runs from the Apify Console, API, or schedule them on a cron.

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