Rigzone Scraper: Oil, Gas & Energy Jobs

The NanoScrape Rigzone Scraper is an Apify actor that extracts job listings from rigzone.com. It returns 45 fields per result including title, company, location, description, company_about, priced at $5/1k result, with no API key or monthly subscription required.

Rigzone (Energy, Global): 30+ fields for oil, gas and energy jobs including day-rate salary, rig type, rotation, discipline, and certifications. (source platform)

Open on Apify → Read the tutorial

Pricing

$5.00 / 1,000 detail result

Runtime

Cloud (Apify)

Proxy

Datacenter (residential fallback when blocked)

Coverage

What you can scrape — 45 fields per result

Field	Type	Example	Group	Fill %
`_type`	string	job	Core	100%
`id`	string	1293906	Core	100%
`title`	string	Manufacturing Experienced Professional - Production Planning & Scheduling	Core	100%
`company_logo_url`	string \| null	(populated when data available)	Core	40%
`job_url`	string	https://www.rigzone.com/oil/jobs/postings/1293906_Manufacturing_Experienced_Professiona...	Core	100%
`source_url`	string	https://www.rigzone.com/oil/jobs/postings/1293906_Manufacturing_Experienced_Professiona...	Core	100%
`source_platform`	string	rigzone.com	Core	100%
`apply_url`	string \| null	https://www.rigzone.com/oil/jobs/postings/1293906_Manufacturing_Experienced_Professiona...	Core	100%
`company_profile_url`	string \| null	https://www.rigzone.com/jobs/featured_employer.asp?e_id=3442	Core	100%
`company`	string \| null	Baker Hughes	Company	100%
`featured_employer`	boolean	`true`	Company	100%
`company_about`	string \| null	(populated when data available)	Company	—
`company_website`	string \| null	(populated when data available)	Company	—
`company_linkedin`	string \| null	(populated when data available)	Company	—
`company_active_jobs_count`	integer \| null	(populated when data available)	Company	—
`company_active_jobs`	array \| null	`[]`	Company	—
`location`	string	Pune, MH, India	Location	100%
`location_city`	string \| null	Pune	Location	80%
`location_state`	string \| null	Maharashtra	Location	100%
`country`	string \| null	India	Location	100%
`description`	string \| null	(populated when data available)	Description	40%
`description_snippet`	string \| null	scalable analytical models and automated solutions supporting global S&OP and materials...	Description	100%
`description_full`	string \| null	(populated when data available)	Description	40%
`description_html`	string \| null	(populated when data available)	Description	40%
`description_md`	string \| null	(populated when data available)	Description	40%
`salary_min`	number \| null	(populated when data available)	Salary	—
`salary_max`	number \| null	(populated when data available)	Salary	—
`salary_currency`	string \| null	(populated when data available)	Salary	—
`salary_period`	string \| null	(populated when data available)	Salary	—
`salary_text`	string \| null	(populated when data available)	Salary	—
`employment_type`	string \| null	full-time	Employment	100%
`skills`	array	`["Manufacturing Engineering"]`	Requirements	100%
`experience_years_min`	integer \| null	`0`	Requirements	100%
`education_min`	string \| null	High School/Secondary	Requirements	100%
`posted_at`	string \| null	2026-10-23	Metadata	100%
`closing_date`	string \| null	(populated when data available)	Metadata	40%
`scraped_at`	string	2026-10-23T21:29:23Z	Metadata	100%
`industry_segment`	string \| null	onshore	Other	100%
`discipline`	string \| null	production	Other	100%
`rotation_pattern`	string \| null	(populated when data available)	Other	—
`rig_type`	string \| null	(populated when data available)	Other	—
`water_depth_ft`	integer \| null	(populated when data available)	Other	—
`offshore`	boolean \| null	(populated when data available)	Other	40%
`certifications_required`	array	`[]`	Other	—
`search_query`	string \| null	drilling engineer	Other	100%

Input example — showcase (full detail)

{
  "searchQueries": [
    "drilling engineer",
    "subsea installation",
    "reservoir geologist"
  ],
  "maxResults": 30,
  "maxResultsPerQuery": 10,
  "includeJobDetails": true,
  "includeCompanyDetails": true,
  "maxConcurrency": 4
}

Output example — real dataset item (PII scrubbed)

{
  "_type": "job",
  "id": "1293906",
  "title": "Manufacturing Experienced Professional - Production Planning & Scheduling",
  "company": "Baker Hughes",
  "company_logo_url": null,
  "location": "Pune, MH, India",
  "location_city": "Pune",
  "location_state": "Maharashtra",
  "country": "India",
  "salary_min": null,
  "salary_max": null,
  "salary_currency": null,
  "salary_period": null,
  "salary_text": null,
  "employment_type": "full-time",
  "industry_segment": "onshore",
  "discipline": "production",
  "skills": [
    "Manufacturing Engineering"
  ],
  "rotation_pattern": null,
  "rig_type": null,
  "water_depth_ft": null,
  "offshore": null,
  "experience_years_min": 0,
  "education_min": "High School/Secondary",
  "certifications_required": [],
  "featured_employer": true,
  "company_name": "Baker Hughes",
  "description": null,
  "description_snippet": "scalable analytical models and automated solutions supporting global S&OP and materials planning processes, with particular focus on repairables, sub-assemblies and capitalized inventory.Connect and analyze ...",
  "description_full": null,
  "description_html": null,
  "description_md": null,
  "posted_at": "2026-10-23",
  "posted_at_text": "October 23, 2026",
  "posted_at_datetime": "2026-10-23",
  "closing_date": null,
  "job_url": "https://www.rigzone.com/oil/jobs/postings/1293906_Manufacturing_Experienced_Professional_-_Production_Planning__Scheduling",
  "source_url": "https://www.rigzone.com/oil/jobs/postings/1293906_Manufacturing_Experienced_Professional_-_Production_Planning__Scheduling",
  "source_platform": "rigzone.com",
  "apply_url": "https://www.rigzone.com/oil/jobs/postings/1293906_Manufacturing_Experienced_Professional_-_Production_Planning__Scheduling",
  "search_query": "drilling engineer",
  "scraped_at": "2026-10-23T21:29:23Z",
  "contact_emails": [],
  "contact_phones": [],
  "contact_urls": [],
  "company_about": null,
  "company_website": null,
  "company_linkedin": null,
  "company_profile_url": "https://www.rigzone.com/jobs/featured_employer.asp?e_id=3442",
  "company_active_jobs_count": null,
  "company_active_jobs": []
}

Cost math

Priced at $0.0050 per detail result. 10 detail results ≈ $0.05, 100 ≈ $0.50, 1,000 ≈ $5.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Who Should Use This

Oil and gas recruitment agencies and staffing firms need Rigzone-specific fields because a generalist job scraper returns no rotation pattern, no rig type, and no certification list, making it impossible to match candidates automatically. This actor extracts those fields as first-class structured data. Salary benchmark tools for the O&G sector use the day-rate salary period field because contract oilfield roles quote per day, not per year, and most scrapers collapse both into one ambiguous number. Employer outreach teams use includeCompanyDetails: true to get each employer's website and full list of currently open roles, turning a job feed into an E&P company lead list. Renewable energy transition researchers filter industry_segment: renewables to find the subset of Rigzone listings that cross offshore-oil experience with wind and hydrogen, a talent pool that is hard to surface any other way.

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 rigzone-us-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. How many results that covers depends on the actor's price per result.

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~rigzone-us-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/rigzone-us-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/rigzone-us-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/rigzone-us-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/rigzone-us-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/rigzone-us-scraper

Example prompt once connected:

"Use <code>rigzone-us-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/rigzone-us-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~rigzone-us-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~rigzone-us-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~rigzone-us-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~rigzone-us-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.

FAQ

How much does the rigzone-us-scraper cost?

$5.00 / 1,000 detail result, billed per result on Apify. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.

What fields does it return?

45 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.

Is scraping this site legal?

Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.

Do I need an API key from the source platform?

No. This actor reads public pages over HTTP with datacenter proxies, switching to residential proxies only when a request is blocked. No API key, no OAuth, no rate-limit management on your side.

How fresh is the data?

Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.