Superclean Job Titles

Pricing

from $0.70 / 1,000 results

Superclean Job Titles

Clean messy job titles instantly. AI fixes abbreviations (Sr. → Senior), removes junk (Ninja, Rockstar), strips department tags, and standardizes formats. 3 output styles for CRM, spreadsheets, or analytics. Better data means better lead scoring and personalization.

Pricing

from $0.70 / 1,000 results

Rating

0.0

(0)

Developer

Superlative

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

4 hours ago

Last modified

Categories

Lead generation

Automation

You can access the Superclean Job Titles programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "items": [
12        "Sr. Software Eng.",
13        "VP of Engineering",
14        "junior developer",
15        "MARKETING MANAGER - EAST COAST TEAM",
16        "Full Stack Ninja"
17    ]
18};
19
20// Run the Actor and wait for it to finish
21const run = await client.actor("superlativetech/superclean-job-titles").call(input);
22
23// Fetch and print Actor results from the run's dataset (if any)
24console.log('Results from dataset');
25console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
26const { items } = await client.dataset(run.defaultDatasetId).listItems();
27items.forEach((item) => {
28    console.dir(item);
29});
30
31// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Superclean Job Titles API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Superclean Job Titles API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Superclean Job Titles API in Python

Superclean Job Titles API through CLI

Superclean Job Titles OpenAPI definition

Superclean Job Titles API

Superclean Company Names

superlativetech/superclean-company-names

Transform messy company names into clean formats for outreach. Removes legal suffixes (Inc, LLC, Ltd), fixes ALL CAPS, preserves brand identity. Perfect for cold email personalization, CRM cleanup, and lead enrichment. Supports casual, formal, and legal output styles. LLM-powered normalizer.

Superlative

Superclean Places

superlativetech/superclean-places

Clean messy location data from lead exports. Normalizes city, state, and country fields. Fixes abbreviations (NYC → New York, Calif → CA), standardizes formats, and parses combined fields. Works with US states, Canadian provinces, and international locations.

Superlative

Superclean Person Names

superlativetech/superclean-person-names

Clean messy person names for cold email and CRM. Extracts first names for personalization, fixes ALL CAPS, handles McDonald/O'Brien/van der Berg correctly, strips titles (Dr.) and credentials (PhD). Three styles: first name only, casual, or formal.

Superlative

Superclean Product Names

superlativetech/superclean-product-names

Clean messy product names from e-commerce exports and web scraping. AI removes promo text, prices, SKUs, and formatting noise. Three styles: Clean (core name only), Full (with attributes), Searchable (lowercase for dedup). Works with Shopify, Amazon, and any catalog data.

Superlative

Linkedin Job Scraper

bhansalisoft/linkedin-job-search-api

Scrape LinkedIn job listings with ease. Extract job titles, companies, locations, and more in real-time. Automate job data collection for recruiting, analysis, or lead generation.

bhansalisoft

Fast LinkedIn Jobs Scraper

aaas.ma/fast-linkedin-jobs-scraper

Simply input your desired job titles and location to get a customized list of job opportunities, job titles, job description, job salary, job type, job location complete with company details and links. Start exploring today!

aaas ma

434

3.0

Linkedin Job Search

clothefobia/linkedin-job-search

Linkedin Job Search - Scrape LinkedIn job listings with ease. Extract job titles, companies, locations, and more in real-time. Automate job data collection for recruiting, analysis, or lead generation.

clothe fobia

The Better Traders Blog Scraper

yourapiservice/thebettertraders-blog-scraper

The Better Traders Blog Scraper (thebettertraders.com) lets you extract blog content in HTML, JSON, and plaintext. Get authors, create/update date, images, read time, RSS, titles, SEO titles, featured images & videos, and keywords easily for content analysis and aggregation.

Your API Service

LinkedIn Job Details Scraper

piotrv1001/linkedin-job-details-scraper

The LinkedIn Job Details Scraper extracts job data from LinkedIn job detail URLs, capturing job titles, company names, logos, locations, posting times, descriptions, number of applicants, job criteria, similar jobs, and related job listings—ideal for recruitment insights and job market analysis.

Piotr Vassev

253

Lead Formatter Tool for Cold Email

parseforge/lead-formatter

Clean, format, and enhance lead data using AI for cold email campaigns and lead management. Automatically standardizes names, companies, and job titles using advanced language models. Perfect for sales teams, marketers, and businesses that need properly formatted lead data for professional outreach.