faang-jobs-scraper

Search job listings from Meta, Amazon, Apple, Netflix, and Google careers sites. Apify-backed n8n community node, pay-per-event, usable as an AI agent tool.

Package Information

Released: 1 mo ago
Downloads: 0 weekly / 0 monthly
Latest Version: 0.1.0
Author: Rimantas

Available Nodes

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FAANG Job Search Scraper icon
FAANG Job Search Scraper
Search job listings from Meta, Amazon, Apple, Netflix, and Google careers sites

Documentation

n8n-nodes-faang-jobs-scraper

An n8n community node that searches job listings from Meta, Amazon, Apple, Netflix, and Google careers sites. It is backed by the FAANG Job Search Scraper on Apify and bills per event, so there are no subscriptions and no minimums.

Installation · Credentials · Operations · Output · Example workflows · Pricing · Resources

What it does

Give the node a search query and it returns one item per job listing found across the careers sites of Meta, Amazon, Apple, Netflix, and Google, with title, company, location, source, description, team, and qualifications. It also works as an AI Agent tool, so an agent can answer questions like "are there open PM roles at Google in London?" on demand. Good for job search automation, recruiting research, and building custom job feeds across FAANG companies.

  • Search by keyword/title, optionally filtered by location
  • Choose which company career sites to search (Meta, Amazon, Apple, Netflix, Google)
  • Cap how many listings are pulled per source
  • Choose how much data to return per result: Simplified, Raw, or Selected Fields

Installation

Follow the n8n community nodes installation guide:

  1. In n8n, open Settings > Community Nodes.
  2. Select Install.
  3. Enter n8n-nodes-faang-jobs-scraper as the npm package name.
  4. Agree to the risks of using community nodes, then select Install.

After it installs, the FAANG Job Search Scraper node appears in the nodes panel.

n8n Cloud only allows verified community nodes. Until this node is verified, install it on a self-hosted n8n instance.

Credentials

You need a free Apify account and an API token.

  1. Sign in to the Apify Console.
  2. Open Settings > Integrations and copy your Personal API token.
  3. In n8n, create a new Apify API credential and paste the token.
  4. Use the credential's Test button to confirm it works.

The node also supports Apify OAuth2 if you prefer to connect that way.

Operations

Job > Search returns job listings for a search query, optionally filtered by location and limited to specific companies.

Parameter Description
Search Query Job title or keyword to search for, for example software engineer.
Location Office location or region to filter by, for example London or United States.
Sources Which companies' career sites to search: Amazon, Apple, Google, Meta, Netflix.
Max Items per Source Maximum number of listings to pull from each source. 0 = unlimited.
Output How much data to return: Simplified, Raw, or Selected Fields.

Output

Each job listing is returned as its own n8n item. The Output parameter lets you choose how much to return:

  • Simplified (default): title, company, location, source, posted_date, url. This mode is also used automatically when the node runs as an AI Agent tool, to keep responses small.
  • Raw: every field the API returns for each listing, using the original field names below.
  • Selected Fields: pick exactly which fields to include.

Fields (Raw and Selected Fields)

Field Type Description
title string Job title
company string Hiring company, for example Google
location string Job location
source string Which careers site the listing came from
job_id string Company-internal job identifier
url string Direct link to the job posting
description string Full job description
team string Team or org within the company
posted_date string Date the listing was posted
minimum_qualifications string Minimum qualifications required
preferred_qualifications string Preferred qualifications
responsibilities string Job responsibilities
pay_and_benefits string Pay range and benefits information, where published
query string The search query that matched this listing
search_location string The location filter used for this search

Example workflows

1. Daily alert for new postings

  1. Schedule Trigger (daily).
  2. FAANG Job Search Scraper: Search Query machine learning engineer, Sources Meta, Google.
  3. Compare Datasets or a database lookup to detect new job_ids, then notify by email or Slack.

2. Build a jobs feed for a title and location

  1. FAANG Job Search Scraper: Search Query product manager, Location London, Max Items per Source 50.
  2. Google Sheets or Postgres: append title, company, location, posted_date, url to a spreadsheet.

3. Let an AI Agent answer job-search questions

  1. AI Agent node.
  2. Attach FAANG Job Search Scraper as a tool.
  3. Ask "Are there any open PM roles at Google in London?" The agent calls the node (in Simplified mode) and returns matching listings.

Pricing

This node calls the FAANG Job Search Scraper on Apify, which is billed pay-per-event: $0.002 per job listing returned ($2 per 1,000 listings). No subscription. Apify also includes a free monthly usage tier that covers typical volumes. See the Actor page for current rates.

Resources

License

MIT

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