Craigslist Jobs Scraper: Extract Local & Gig Jobs

Extract job and gig listings from Craigslist.org - the US's largest classifieds job board. Covers 430+ city subdomains. Returns title, location, posted date, full description, salary, contact emails and phones extracted from posting body. RSS-first for speed and reliability.

Open on Apify →

Pricing

$3.00 / 1,000

Runtime

Cloud (Apify)

Proxy

Datacenter

What You Get

contact_emails / contact_phones: Direct recruiter contact info extracted from posting body -- Craigslist posters frequently include real emails and phones, unlike ATS-backed boards
category_subcode: Craigslist-native subcategory code (sof = software, hea = healthcare, ret = retail, etc.) for precise vertical filtering
is_telecommute: Remote work flag set by the poster (not inferred from the title) -- one of the most reliable remote signals among classifieds boards
latitude / longitude / google_maps_url: Geo-coordinates extracted from schema.org GeoCoordinates JSON-LD -- useful for local hiring-market heat maps
ok_for_recruiters: Boolean reflecting the poster's explicit recruiter-contact preference -- surfaces Principals only postings for direct-hire focus
description_md: Full posting body rendered as Markdown (headings, lists, links preserved) alongside plain text and HTML variants

Input Example

{
  "searchQueries": ["software engineer", "warehouse"],
  "cities": ["newyork", "sfbay", "chicago"],
  "categories": ["jjj"],
  "includeJobDetails": true,
  "maxResults": 200,
  "maxResultsPerQuery": 50
}

Output Example

{
  "_type": "job",
  "id": "HMhqfPGf8RGtB8GTMmrRGg",
  "title": "Registered Nurse (RN) Cart Nurse",
  "company_name": "Brooklyn Center",
  "location": "New York City",
  "location_area": "brooklyn",
  "city_slug": "newyork",
  "country": "US",
  "employment_type": "full-time",
  "category": "jjj",
  "category_subcode": "hea",
  "is_telecommute": false,
  "is_paid": true,
  "ok_for_recruiters": true,
  "contact_emails": ["[email protected]"],
  "apply_url": "https://click.appcast.io/t/example",
  "street_address": "170 Buffalo Ave",
  "postal_code": "11213",
  "latitude": 40.670937,
  "longitude": -73.93459,
  "google_maps_url": "https://www.google.com/maps/search/40.670937,-73.934590",
  "posted_at_datetime": "2026-08-24T19:25:54Z",
  "source_platform": "craigslist.org",
  "scraped_at": "2026-08-22T10:30:00Z"
}

Who Should Use This

This actor is ideal for US local staffing agencies, gig-economy researchers, and B2B lead generators who need the informal job market that never appears on Indeed or LinkedIn. Craigslist is where small businesses, local trades employers, and independent contractors post without HR systems -- the direct email and phone fields extracted from posting bodies are the primary differentiator. Hyper-local hiring analysts use the 430+ city subdomain coverage and geo-coordinate fields to map hiring density by neighbourhood. The gig category (/ggg/) provides visibility into the US freelance and short-term work market that no traditional job board indexes.

Integrations

n8n / Make / Zapier — trigger runs and process results via webhook
AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
Python / Node.js — Apify SDK for programmatic access
Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run craigslist-jobs-scraper in your browser - no code, no install. In the Apify console you get:

One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

Sign up for a free Apify account (Google, GitHub, or email).
Go to Settings → Integrations → API tokens.
Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully - at $0.001 per result on typical scrapers, that is roughly 5,000 results for free every month.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~craigslist-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/craigslist-jobs-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/craigslist-jobs-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/craigslist-jobs-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/craigslist-jobs-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/craigslist-jobs-scraper

Example prompt once connected:

"Use <code>craigslist-jobs-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
Set Actor to santamaria-automations/craigslist-jobs-scraper.
Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).

Create a new Zap with any trigger.
Add a Webhooks by Zapier POST action to https://api.apify.com/v2/acts/santamaria-automations~craigslist-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Body: your input JSON. Content-Type: application/json.

Create a new scenario.
Add an HTTP module: URL https://api.apify.com/v2/acts/santamaria-automations~craigslist-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.
Parse the response with a JSON module to iterate items downstream.

Create a new workflow.
Add an HTTP Request step: POST to https://api.apify.com/v2/acts/santamaria-automations~craigslist-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Access steps.http.$return_value in subsequent steps.

Install the API Connector plugin.
Add a new API: POST https://api.apify.com/v2/acts/santamaria-automations~craigslist-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.
Initialize the call with your input, then reference the response array in workflow actions.