# Thumbtack Email Scraper - Keyword & Location Targeting (`scrapido/thumbtack-email-scraper`) Actor

📌 Thumbtack Email Scraper pulls local service pro emails by keyword and location. 🔓 Domain filters plus decoding and dedup. 📤 Export Thumbtack leads to CSV, JSON or Excel for home service supplier sales.

- **URL**: https://apify.com/scrapido/thumbtack-email-scraper.md
- **Developed by:** [Scrapido](https://apify.com/scrapido) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### Thumbtack Email Scraper

**Thumbtack Email Scraper** extracts and filters contact emails from Thumbtack for lead generation and list building. It’s an **email scraper** and **Thumbtack contact scraper** that helps you automate thumbtack email collection using targeted keywords and domain filters—perfect for scale without manual busywork.

***

### What Does Thumbtack Email Scraper Do? 🤖

Thumbtack Email Scraper helps you **scrape**, **extract**, **collect**, **filter**, and **export** email addresses from publicly available Thumbtack content. You provide **keywords** (job titles, roles, or queries), an optional **location** filter, and optional **customDomains** to restrict which email domains you want (for example, `@gmail.com`). During a run, it collects up to your `maxEmails` limit and saves structured records into an Apify dataset. This is ideal for anyone who needs to **extract emails from Thumbtack** faster than manual outreach research—especially for thumbtack lead generation and B2B prospecting workflows.

***

### What Can Thumbtack Email Scraper Extract? 📊

This actor focuses on email harvesting plus the key context you’ll want for outreach and CRM import. It outputs each lead with the keyword and profile metadata needed to understand relevance, while keeping the result set clean and easy to analyze.

| Data Type | Field Name | Description |
|---|---|---|
| Contact | `email` | Primary email address for the lead, filtered by your selected email domains |
| Identity | `title` | Profile name or business handle associated with the lead |
| Context | `description` | Bio, summary, or profile tagline text tied to the lead |
| Discovery | `keyword` | The search term (from your keywords input) that surfaced this profile |
| Navigation | `url` | Direct link to the associated Thumbtack profile page |

#### Key Features of Thumbtack Email Scraper ⚡

- ✅ **Keyword-Driven Lead Discovery:** Uses your `keywords` to find Thumbtack leads aligned with your target roles and niches.
- 🌍 **Location Targeting:** Filter results to a specific city or region using the optional `location` input.
- 📧 **Custom Domain Filtering:** Limit extracted emails using `customDomains` (e.g., `@gmail.com`, `@yahoo.com`) for tighter targeting.
- 🔄 **Apify Dataset Output:** Saves results as structured records that are ready for CRM data import and analysis.
- 💾 **Controlled Volume with `maxEmails`:** Cap results per run to manage time, cost, and downstream processing load.
- 🧩 **Segmentable Results:** Each record includes the `keyword`, plus profile `title`, `description`, and `url` context to support automation tools and outreach workflows.

***

### How to Use Thumbtack Email Scraper 🚀

1. **Find the Actor** — Search **Thumbtack Email Scraper** on [Apify Store](https://apify.com/store)
2. **Open Input Tab** — In the Apify Console, open the **Input** section
3. **Add Keywords** — Enter job titles, business types, or role-focused terms in `keywords`
4. **Configure Filters** *(optional)* — Add `location` and restrict `customDomains`
5. **Set Result Limit** — Choose a `maxEmails` value to control run size
6. **Click Start** — Run the actor and monitor progress in the logs
7. **Download Results** — Open the **Dataset** and export your results

*No coding required—this is a plug-and-run thumbtack email extractor for faster list building.*

***

### Thumbtack Email Scraper Output Format 📦

The actor saves results to your Apify dataset in structured JSON format. Each dataset item contains the lead context you need for email verification workflows and CRM import.

#### ⬇️ Input Example

```json
{
  "keywords": ["manager", "founder"],
  "location": "New York",
  "customDomains": ["@gmail.com", "@yahoo.com"],
  "maxEmails": 20
}
```

#### ⬆️ Output Example

```json
[
  {
    "keyword": "manager",
    "title": "Jane Smith",
    "description": "NYC-based operations manager. Bookings available for small business support.",
    "url": "https://www.thumbtack.com/profile/jane-smith",
    "email": "jane.smith@gmail.com"
  },
  {
    "keyword": "founder",
    "title": "Carlos Rivera",
    "description": "Founder offering consulting services. Reach out for pricing and availability.",
    "url": "https://www.thumbtack.com/profile/carlos-rivera",
    "email": "carlos.rivera@yahoo.com"
  }
]
```

***

### 🎯 Use Cases of Thumbtack Email Scraper

- **B2B Lead Generation:** Build a list of thumbtack contacts and power outreach campaigns with cleaner segmentation by `keyword` and email domain.
- **Email Marketing Campaigns:** Use the extracted emails to seed newsletters or drip sequences and enrich your lead capture funnel.
- **CRM Enrichment:** Add email harvesting results to your CRM as structured dataset rows (`title`, `description`, `url`, and `email`).
- **Market Research & List Building:** Quickly compare niches and service categories by pulling context around each lead.
- **Automation Tools & Prospecting:** Feed the dataset into your automation pipelines for repeated customer acquisition tasks and consistent list growth.

***

### How Much Will Thumbtack Email Scraper Cost You? 💰

Pricing is pay-per-result, meaning you’re charged per email result—not per run. Use the `maxEmails` parameter to cap how many results the actor attempts to collect, and to help control run time and downstream processing costs. Apify also provides a free tier with monthly compute credits for new users, which can be a great way to test thumbtack lead generation at small scale before scaling up.

***

### Is It Legal to Scrape Thumbtack? ⚖️

Thumbtack Email Scraper is designed to collect data from **publicly available sources**—it doesn’t target private, logged-in, or restricted content. That said, you are responsible for following Thumbtack’s Terms of Service and complying with applicable privacy and anti-spam regulations (including GDPR/CCPA where relevant). If you have questions or concerns, contact <scrapidocontact@gmail.com>.

***

### Thumbtack Email Scraper Input Parameters 📋

You can provide input via the Apify Console (or an `input.json` file). The actor requires `keywords`.

#### Input example

```json
{
  "keywords": ["manager", "founder"],
  "location": "",
  "customDomains": ["@gmail.com", "@yahoo.com"],
  "maxEmails": 20
}
```

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `keywords` | Array | ✅ Yes | `["manager","founder"]` | A list of keywords or queries used to find relevant Thumbtack leads for email extraction |
| `location` | String | No | `""` | Optional location filter (for example, a city or region) to narrow down results |
| `customDomains` | Array | No | `["@gmail.com","@yahoo.com"]` | Limit extracted emails to specific domains you care about (helps focus outreach) |
| `maxEmails` | Integer | No | `20` | Maximum number of emails to collect before the scraper stops |

***

### During the Actor Run ⏱️

While it’s running, you’ll see progress in the Apify Console. Results are saved incrementally to the dataset during the run, so you can review partial outputs if needed. If a keyword or domain combination yields limited results, broaden your keywords, adjust location, or expand your `customDomains` list to improve coverage for thumbtack email extractor workflows.

***

### Final Note ✉️

Get fast, structured leads with **Thumbtack Email Scraper**—a practical thumbtack lead generation tool for web scraping and CRM enrichment. Need help customizing your request? Email <scrapidocontact@gmail.com>.

***

### FAQ — Thumbtack Email Scraper ❓

#### How does the Thumbtack Email Scraper find emails?

Thumbtack Email Scraper uses your provided `keywords` (and optional `location` and `customDomains`) to target relevant Thumbtack leads, then extracts email addresses and stores them in the dataset along with context fields like `title`, `description`, and `url`.

#### What types of Thumbtack profiles can I scrape?

The actor extracts emails from Thumbtack leads surfaced by your keyword set. If a lead doesn’t have a publicly available email matching your domain filters, it won’t appear in your resulting dataset items.

#### What did your tests show about the Thumbtack Email Scraper?

Results vary based on how many Thumbtack profiles match your `keywords`, and how often those profiles expose public emails that match your `customDomains`. Tighter targeting (more specific keywords and domain filters) often improves relevance, while broader settings can increase volume.

#### Why scrape Thumbtack for emails?

Thumbtack is a rich source of professional service providers. Scraping emails from publicly available leads is far faster than manual research, and it supports scalable outreach, list building, and customer acquisition workflows using automation tools and CRM data import.

#### How much does it cost to use the Thumbtack Email Scraper?

The actor follows Apify’s pay-per-result approach, meaning your cost scales with the number of email results. Use `maxEmails` to cap the maximum number of emails collected in a run and manage spending predictably.

#### How does the Thumbtack Email Scraper help my business?

It helps you assemble a clean, exportable dataset of thumbtack contacts with the email address plus supporting context (`keyword`, `title`, `description`, and `url`). This makes it easier to automate outreach, enrich CRM records, and power B2B prospecting and list building.

#### What are the challenges of using a Thumbtack scraper?

Not every lead will publish contact emails publicly, and your results depend on keyword fit and email domain availability. If your dataset is small, broaden your keywords, adjust or remove `location`, and add more relevant domains to `customDomains`.

#### How do I choose the right Thumbtack Email Scraper?

Choose based on: structured dataset output, easy keyword targeting, domain filtering for email harvesting, and configurable limits (`maxEmails`) for cost control. Thumbtack Email Scraper is built for those exact use cases, and if you need help tailoring your setup, reach out at <scrapidocontact@gmail.com>.

***

### 🆘 Support & Feedback

Found a bug or need a custom solution for **Thumbtack Email Scraper**?

- ✨ **Custom Solutions & Feature Requests:** Contact our team at <scrapidocontact@gmail.com>
- 📧 **Email:** <scrapidocontact@gmail.com>

### Multiple Email Types

**Email Types** replaces the old single Audience Type choice: select as many
kinds of mailbox as you want and the run chases all of them together.

| Type | What it matches |
| --- | --- |
| Personal / free webmail | Gmail, Outlook, Yahoo, iCloud, AOL, Proton, ... |
| Business / corporate | Company domains - free webmail and institutions excluded |
| Education (.edu / .ac) | `.edu`, `.ac.uk`, `.edu.au`, `.ac.in` and other academic suffixes |
| Government (.gov / .mil) | `.gov`, `.mil`, `.gov.uk`, `.gc.ca`, ... |
| Non-profit (.org) | `.org`, `.ngo`, `.org.uk`, ... |

Each selected type contributes its own Google dork patterns *and* its own domain
test, so a result is only kept if it genuinely belongs to the type that found
it. Every row carries an `emailType` field recording which one that was.

Suffixes are matched as real domain suffixes, so `cs.mit.edu` counts as
Education while `notedu.com` does not.

Setting **Custom Email Domains** still overrides everything: an explicit domain
list is a manual override and replaces the type-driven patterns. The legacy
`audienceType` value is still accepted, so saved inputs keep working.

# Actor input Schema

## `keywords` (type: `array`):

A list of keywords or queries to search for.

## `audienceType` (type: `string`):

Business Emails runs contextual discovery patterns tuned for company contact pages ("email us at", "contact@", careers, bookings, ...) and filters out consumer webmail domains. Consumer Emails instead searches gmail.com, yahoo.com, outlook.com, hotmail.com and icloud.com directly.

## `maxEmails` (type: `integer`):

Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time.

## `customDomains` (type: `array`):

Optional manual override — provide specific email domains to search for (e.g. @hubspot.com) instead of using Audience Type. Leave empty to use Audience Type.

## `emailTypes` (type: `array`):

Which kinds of mailbox to hunt for. Pick as many as you like - each type contributes its own set of Google search patterns and its own domain filter, and every result records the type it was found as. Personal = free webmail (Gmail, Outlook, Yahoo, iCloud). Business = company domains, excluding free webmail and institutions. Education = .edu / .ac.uk and friends. Government = .gov / .mil. Non-profit = .org.

## Actor input object example

```json
{
  "keywords": [
    "manager",
    "founder"
  ],
  "audienceType": "Consumer Emails",
  "maxEmails": 20,
  "customDomains": [],
  "emailTypes": [
    "Personal",
    "Business"
  ]
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# 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 = {
    "keywords": [
        "manager",
        "founder"
    ],
    "customDomains": [],
    "emailTypes": [
        "Personal",
        "Business"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapido/thumbtack-email-scraper").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 = {
    "keywords": [
        "manager",
        "founder",
    ],
    "customDomains": [],
    "emailTypes": [
        "Personal",
        "Business",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapido/thumbtack-email-scraper").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 '{
  "keywords": [
    "manager",
    "founder"
  ],
  "customDomains": [],
  "emailTypes": [
    "Personal",
    "Business"
  ]
}' |
apify call scrapido/thumbtack-email-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapido/thumbtack-email-scraper"
        }
    }
}

```

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/rjMkd2iQSOHnzLgL7/builds/z3LA1pq250z5rNgIJ/openapi.json