Use Handshake Campus Jobs & Employer Showcase Extractor with Python

Reads Handshake's public job explore page for campus internships and entry-level roles, plus the public employer showcase, returning title, company, location, salary, and deadline.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "companyFilter": "",
  "employerQuery": "",
  "employmentType": "any",
  "includeDescriptions": false,
  "includeProfiles": true,
  "includeReviews": true,
  "internshipRole": "any",
  "internshipsOnly": false,
  "jobIds": [],
  "jobRole": "software-engineering",
  "jobUrls": [],
  "location": "any",
  "maxEmployers": 1,
  "maxItems": 1,
  "maxReviewsPerEmployer": 1,
  "mode": "searchJobs",
  "onlyNewJobs": false,
  "resetMonitoringState": false,
  "salaryPeriod": "any",
  "searchQuery": "",
  "searchUrls": [],
  "workplace": "any"
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	required	What to scrape.
`searchQuery`	string	optional	Words matched against job titles and descriptions (mode=searchJobs/bySearchUrls). Leave empty to browse.
`jobRole`	string	optional	Handshake role category used for discovery (mode=searchJobs/bySearchUrls).
`internshipRole`	string	optional	Internship role category from the public /internships/ pages (implies internshipsOnly; mode=searchJobs).
`location`	string	optional	City with a published Handshake jobs page (mode=searchJobs/bySearchUrls).
`workplace`	string	optional	Remote, hybrid or on-site filter.
`employmentType`	string	optional	Full-time or part-time filter.
`internshipsOnly`	boolean	optional	Keep jobs whose title or description mentions an internship or co-op.
`postedWithinDays`	integer	optional	Keep jobs posted in the last N days (1-365). Leave empty for any date.
`companyFilter`	string	optional	Keep jobs whose employer name contains this text.
`minSalary`	integer	optional	Keep jobs whose published maximum pay is at least this amount. Compare with the pay period selected below.
`salaryPeriod`	string	optional	Restrict to jobs with pay published per year, month or hour.
`jobIds`	array	optional	Handshake numeric job IDs (mode=byJobUrls).
`jobUrls`	array	optional	Public Handshake job or share-preview URLs (mode=byJobUrls).
`searchUrls`	array	optional	Public joinhandshake.com/find-jobs/ or /internships/ listing URLs (mode=bySearchUrls).
`employerQuery`	string	optional	Keep employers whose name contains this text (mode=employers).
`includeProfiles`	boolean	optional	Fetch about, industry, size, ownership, address and reviews for each employer (mode=employers).
`includeReviews`	boolean	optional	Add recent public review cards to employer profiles (mode=employers).
`includeDescriptions`	boolean	optional	Add the full job description as HTML and plain text.
`maxItems`	integer	optional	Maximum job records to return.
`onlyNewJobs`	boolean	optional	Return only job IDs not seen in previous runs (mode=searchJobs/bySearchUrls/bySitemap).
`resetMonitoringState`	boolean	optional	Clear the saved seen-job list before this run.
`maxEmployers`	integer	optional	Maximum employer records to return (mode=employers).
`maxReviewsPerEmployer`	integer	optional	Maximum recent public reviews to keep per employer profile (mode=employers, includeReviews=true).

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/matudr5BfHfTMG3Ec/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Public Handshake job listings with structured pay, locations, dates and descriptions, plus public employer profiles with industry, size and reviews.

Questions before you run

Which inputs are required?

The published required fields are mode

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build 829lEIaY4rOz0tA3Z and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.