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from $0.10 / 1,000 extracted fast indeed job postings & salary scrapers

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Fast Indeed Job Postings & Salary Scraper

Try for free

Scrapes live job postings from Indeed across any location: job title, company name, salary range, job type (Remote/Hybrid), location, posted date, and full job descriptions.

Pricing

from $0.10 / 1,000 extracted fast indeed job postings & salary scrapers

Rating

0.0

(0)

Developer

David Sandor

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Total users

Monthly active users

a day ago

Last modified

Fast Indeed Job Postings & Salary Scraper 🚀

Scrapes live job postings from Indeed across any location: job title, company name, salary range, job type (Remote/Hybrid), location, posted date, and full job descriptions.

🌟 20+ Enterprise Enhancements (v2.0)

RAG & LLM Ready: Pre-computed OpenAI token counts and chunked embeddings.
Smart Keyword Filters: Include or exclude records by targeted keyword lists.
Sentiment Scoring: Built-in lexical sentiment rating on text contents.
Noise & Tracking Scrubber: Removes tracking query parameters and boilerplate banners.
Pay-Per-Event (PPE): Ultra-cost-effective pricing per extracted item.
Zero Cold Start: Sub-second execution with automated fallback guarantees.

💻 Integration Examples

Node.js (Apify Client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('fast-indeed-jobs-scraper').call({
    // Pass customized inputs here
    enableRagEnrichment: true
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log('Extracted Items:', items);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('fast-indeed-jobs-scraper').call(run_input={ 'enableRagEnrichment': True })
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

📄 Output Schema

Returns structured JSON, token counts, and RAG vector chunks.

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