# Advanced Clay People Scraper Verified Leads (`solana/advanced-clay-people-scraper-verified-leads`) Actor

WORKS WITH FREE ACCOUNTS (without any credits). Extract accurate Clay People leads – full names, roles & companies. Blazing-fast, enhanced, CRM-ready. Works securely with your `claysession` cookie.

- **URL**: https://apify.com/solana/advanced-clay-people-scraper-verified-leads.md
- **Developed by:** [Solana Dev](https://apify.com/solana) (community)
- **Categories:** Lead generation, Social media, Jobs
- **Stats:** 227 total users, 2 monthly users, 60.0% runs succeeded, 39 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🐙 Solana Dev: Advanced Clay People Scraper – Unlimited Contacts (Works with Free Accounts)

> **Bypass Clay’s maximum search results**: split any Clay search into multiple segments to scrape **every single contact**, even when Clay caps visible results.

Scrape **Clay People search results** using **Python on the Apify platform**. Collect enriched lead data—domains, names, titles, companies, LinkedIn profiles, industries, and more—**without needing a paid Clay account**.

***

### 🔍 Why Choose This Scraper?

- **Works with every free Clay account** – no subscription or credits required.
- **Scrape beyond Clay’s search cap** – automatically splits your queries so you get *all* results.
- **Capture complete, enriched datasets** – perfect for lead generation, prospecting, and data enrichment.
- **No manual tweaking** – just plug in your filters and scrape.

***

### 🔧 Key Features

- ✅ Extract **domain, full name, first/last name, LinkedIn profile, company, company LinkedIn, job title, seniority, industry, and more**
- ⚡ **Unlimited results**: auto-split and iterate over all search segments
- 🖼️ Supports **all Clay search filters** (industries, job functions, company sizes, locations, seniority levels, etc.)
- 🔐 Authenticate once with your Clay session cookie
- 🚀 Handles pagination and search splitting automatically
- 🧠 Resumable runs with robust error handling
- 🧼 Output in structured **JSON or CSV**

***

### ⚙️ Unlimited Search Workflow

1. Provide your Clay filters and session `cookie`.
2. The scraper detects total matches and **bypasses page limit of clay**.
3. Each segment is scraped automatically.
4. All results are aggregated into a single, complete dataset.

***

### 📥 Input Schema

| Field                      | Type     | Description                                           | Required |
|----------------------------|----------|-------------------------------------------------------|----------|
| `cookie`                   | string   | Your Clay session cookie                              | ✅       |
| `company_industries_include` | array  | Industries to include                                 | ❌       |
| `company_sizes`            | array    | Company size filters                                  | ❌       |
| `job_title_seniority_levels`| array   | Seniority levels (owner, partner, c-suite, etc.)      | ❌       |
| `location_countries_include`| array   | Countries to include                                  | ❌       |
| `location_states_include`   | array   | States/regions to include                             | ❌       |
| `job_functions`             | array   | Job function filters                                  | ❌       |

#### Example Input

```json
{
  "cookie": "s%3...k3M",
  "company_industries_include": ["Accounting"],
  "company_sizes": ["1","2-10","11-50"],
  "job_title_seniority_levels": ["owner", "partner", "c-suite"],
  "location_countries_include": ["United States"],
  "location_states_include": ["New York","California","Texas"],
  "job_functions": ["Clerical and Administrative","Business Management and Operations","Sales","Marketing and Public Relations","Not Employed"]
}
```

***

### 📦 Output Example

```json
{
  "domain": "legaleasebookkeeping.com",
  "first_name": "Brandy",
  "last_name": "Derrick",
  "full_name": "Brandy Derrick",
  "linkedin": "https://www.linkedin.com/in/brandyderrick/",
  "location": "Fort Worth, Texas, United States",
  "title": "Owner | Virtual Bookkeeper",
  "company": "Legal Ease Bookkeeping, LLC",
  "company_linkedin": "https://www.linkedin.com/in/legal-ease-bookkeeping-llc",
  "profile_id": "upn_385288128",
  "company_industries_include": ["Accounting"],
  "company_sizes": ["1","2-10","11-50"],
  "job_title_seniority_levels": ["owner","partner","c-suite"],
  "location_countries_include": ["Brazil","France","Germany","Italy","Japan","China","Spain","United States","United Kingdom","United Arab Emirates"],
  "location_states_include": ["New York","California","Texas"],
  "job_functions": ["Clerical and Administrative","Business Management and Operations","Sales","Marketing and Public Relations","Not Employed"]
}
```

Results are stored in Apify’s dataset (via `Actor.push_data()`) and are downloadable as JSON, CSV, or via API.

***

### 🚀 How It Works

1. Authenticates with your Clay session `cookie`
2. Applies your filters and determines the total dataset size
3. Automatically bypass Clay’s maximum search results
4. Scrapes each segment and aggregates results
5. Pushes final data to Apify Dataset

***

### 🧠 Behind the Scenes

- Built with `Apify SDK` for robust scraping and state management
- Smart search segmentation logic for **unlimited results**
- Retry and resume capabilities – no data loss
- Randomized, human-like delays

***

### 📎 Notes

- **Works with free Clay accounts** – no credits, no paid tiers required
- Only requires your **session cookie** for authentication
- Handles **very large datasets** with ease

***

### 💬 Questions or Feature Requests?

Use the Apify **Q\&A** tab or reach out directly via GitHub.

***

🔥 Optimized for keywords: **"Clay scraper", "Clay unlimited contacts", "Clay search results bypass", "free Clay accounts"**.

# Actor input Schema

## `cookie` (type: `string`):

Click <a href='https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm'>here</a> to visit the Chrome Web Store and download the EditThisCookie extension. Cookie value of cookie named 'claysession' which looks like s%... (insert without quotes).

## `company_industries_include` (type: `array`):

Select the industries to include

## `company_sizes` (type: `array`):

Select the company sizes to include

## `job_title_seniority_levels` (type: `array`):

Select the seniorities to include

## `job_functions` (type: `array`):

Select the job functions to include

## `location_countries_include` (type: `array`):

Select the countries to include

## `location_states_include` (type: `array`):

Select the states or provinces to include (Leave countries empty for this to work)

## Actor input object example

```json
{}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("solana/advanced-clay-people-scraper-verified-leads").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("solana/advanced-clay-people-scraper-verified-leads").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call solana/advanced-clay-people-scraper-verified-leads --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,solana/advanced-clay-people-scraper-verified-leads"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/42q0OgcwtYMqGTJWh/builds/hMHelSv0wtkJTYJlZ/openapi.json