Use Lever Job Board Postings by Company Slug with Python

Pull open job postings from one or more Lever.co company boards, or fetch specific postings by ID, with location, team, salary range, requirements, and apply links, filterable by team, location, and commitment type.

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.

{
  "boardRegion": "auto",
  "companySlugs": [
    "wealthfront"
  ],
  "hasSalaryOnly": false,
  "includeDescription": true,
  "includeHtml": false,
  "maxItems": 3,
  "maxItemsPerCompany": 0,
  "mode": "getJobs",
  "onlyNewSinceLastRun": false,
  "remoteOnly": false,
  "workplaceType": ""
}

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

Field	Type	Required	Description
`mode`	string	required	Fetch every open posting from one or more boards, or fetch specific postings by ID or URL.
`companySlugs`	array	optional	Company slugs, board URLs, API URLs or posting URLs. Examples: "wealthfront", "https://jobs.lever.co/wealthfront", "https://jobs.eu.lever.co/olx", "https://api.lever.co/v0/postings/wealthfront".
`companySlug`	string	optional	Company slug, board URL, API URL or posting URL used with postingIds (mode=getJob).
`postingIds`	array	optional	Posting UUIDs or posting/apply URLs (mode=getJob).
`boardRegion`	string	optional	Use auto to try the global board first and fall back to the EU board when global returns 404 or no postings.
`team`	string	optional	Keep postings whose team contains this text (case-insensitive).
`department`	string	optional	Keep postings whose department contains this text (case-insensitive).
`location`	string	optional	Keep postings whose primary location or any additional location contains this text (case-insensitive), e.g. "London" or "Remote".
`commitment`	string	optional	Keep postings whose commitment or normalized employment type matches this text, e.g. "Full-time", "Contract", "Internship".
`workplaceType`	string	optional	Keep postings with this exact workplace arrangement.
`remoteOnly`	boolean	optional	Keep only postings marked remote or with a remote location.
`country`	string	optional	Keep postings for one ISO 3166-1 alpha-2 country code, e.g. "US", "DE" or "IN".
`titleKeywords`	array	optional	Keep postings whose title contains every word in this list, in any order.
`excludeTitleKeywords`	array	optional	Drop postings whose title contains any word in this list.
`postedAfter`	string	optional	Keep postings created on or after this date (YYYY-MM-DD).
`hasSalaryOnly`	boolean	optional	Keep only postings with a structured salary range published by Lever.
`salaryMin`	integer	optional	Keep postings whose structured salary range starts at or above this value (same currency and interval as the posting).
`maxItems`	integer	optional	Maximum number of posting records to emit.
`maxItemsPerCompany`	integer	optional	Maximum records per company board; 0 means no per-company limit.
`includeDescription`	boolean	optional	Include full and section descriptions plus requirement lists.
`includeHtml`	boolean	optional	Add the original HTML for descriptions, additional text and list content.
`onlyNewSinceLastRun`	boolean	optional	Emit only postings not seen by an earlier run with the same query shape. The first run returns everything.

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/YMM8oKkDKWReRyR5Z/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.

Open postings from global and EU Lever boards — title, company, locations, workplace type, country, employment type, salary, full descriptions and apply links.

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 Fyyah1xlgAHrHhYo1 and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.