# TechRadar Email Scraper (`email_scraper/techradar-email-scraper`) Actor

TechRadar Email Scraper extracts publicly indexed email addresses from TechRadar using targeted keywords, location filters, custom email domains, and exclusion terms. Build structured TechRadar contact datasets for lead research, business research, and contact analysis.

- **URL**: https://apify.com/email\_scraper/techradar-email-scraper.md
- **Developed by:** [Email Scraper](https://apify.com/email_scraper) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.49 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## 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

### TechRadar Email Scraper

TechRadar Email Scraper is an Apify Actor designed to discover publicly indexed email addresses associated with TechRadar pages through targeted keyword searches. It helps users turn search terms into a structured dataset containing the keyword used, result title, description, URL, and extracted email address.

The Actor is useful for business research, contact discovery, market research, technology research, and structured lead-data collection where relevant email addresses are publicly visible in indexed TechRadar search results.

You provide one or more keywords, optionally specify a country, state, or city, select the email domains you want to search for, and optionally exclude descriptions containing specific words or phrases. The Actor processes each keyword and email-domain combination and adds discovered results to the Apify dataset.

### What Is a TechRadar Email Scraper?

A TechRadar Email Scraper is a specialized data-collection tool for finding email addresses that appear in publicly indexed TechRadar search results.

Instead of manually searching for relevant pages and checking descriptions for contact information, the Actor lets you define search intent through keywords and configurable email domains. It then returns structured records that connect each discovered email with the corresponding search keyword, result title, description, and URL.

The Actor is particularly suited to technology-focused research because TechRadar content is relevant to areas such as technology, software, products, digital services, business, and related topics. Your actual results depend on what information is publicly indexed and available for the searches you configure.

### Key Features

| Feature                     | Description                                                                       | User Benefit                                                         |
| --------------------------- | --------------------------------------------------------------------------------- | -------------------------------------------------------------------- |
| Keyword-based search        | Search TechRadar using one or multiple keywords or queries.                       | Target specific topics and search intent.                            |
| Custom email domains        | Specify domains such as `@gmail.com`, `@yahoo.com`, or other suffixes.            | Focus collection on relevant email-address types.                    |
| Location filtering          | Optionally add a country, state, or city.                                         | Narrow searches geographically.                                      |
| Exclude words               | Skip descriptions containing selected words or phrases.                           | Reduce unwanted or irrelevant results.                               |
| Per-combination email limit | Set the maximum number of emails for each keyword + domain combination.           | Control the amount of data collected.                                |
| Structured dataset          | Results contain keyword, title, description, URL, and email.                      | Make collected data easier to review and analyze.                    |
| Duplicate prevention        | The Actor avoids returning the same discovered email more than once during a run. | Reduce duplicate records.                                            |
| Incremental dataset results | Results are added to the dataset as they are collected.                           | Lets you review collected records without waiting for a final batch. |

### What Data Can You Extract?

The TechRadar Email Scraper returns five user-facing fields for each collected result:

- **Keyword** — The keyword or query associated with the search.
- **Title** — The title of the indexed result.
- **Description** — The description or search-result text associated with the result.
- **URL** — The URL associated with the result.
- **Email** — The email address matching one of your configured email-domain suffixes.

These fields create a compact contact dataset that preserves useful context around each email address. The title, description, and URL can help you understand where a discovered email came from and why it matched your search.

The Actor does not guarantee that every search result contains an email address. It can only collect addresses that are publicly present in the indexed search-result information available to the Actor.

### Why Use This Actor?

Manual search can become repetitive when you need to investigate several keywords, locations, and email-domain types. The TechRadar Email Scraper provides a configurable workflow for organizing these searches into one automated run.

Instead of checking individual search results one by one, you can provide multiple targeted queries and let the Actor process the configured combinations.

It is especially useful when your research requires both **topic targeting** and **email-domain targeting**. For example, you could search for technology-related terms while limiting collection to `@gmail.com`, or add additional domains when broader coverage is appropriate.

### Benefits

- **Automated contact research** — Reduce repetitive manual searching for publicly indexed email information.
- **Targeted discovery** — Use specific keywords instead of relying on one broad search term.
- **Flexible domain targeting** — Choose the email suffixes that matter to your research.
- **Geographic refinement** — Add a location when regional targeting is relevant.
- **Filtering control** — Exclude descriptions containing unwanted terms or phrases.
- **Structured results** — Receive consistent fields for easier review and downstream analysis.
- **Multiple search combinations** — Process several keywords and email domains within the same run.
- **Dataset creation** — Build an organized collection of TechRadar-related contact records.

### How to Use the TechRadar Email Scraper

A typical workflow is straightforward:

1. Enter one or more keywords in the **Keywords or Queries** field.
2. Optionally enter a country, state, or city in the **Region / Location** field.
3. Select the email domains you want to search for in **E-mail domain suffixes**.
4. Set **Max Emails** for each keyword + domain combination.
5. Optionally add words or phrases to **Exclude words**.
6. Start the Actor.
7. Review the resulting dataset containing the discovered email addresses and their associated search-result information.

For better coverage, use several specific search terms rather than relying on one broad keyword.

### Input

The Actor requires the `keywords` field. All other configuration fields are optional.

| Field           | Type             | Required | Default                      | Description                                                                             |
| --------------- | ---------------- | -------- | ---------------------------- | --------------------------------------------------------------------------------------- |
| `keywords`      | Array of strings | Yes      | `["technology", "software"]` | Keywords or queries used for the search.                                                |
| `location`      | String           | No       | Empty                        | Optional country, state, or city used to narrow the search.                             |
| `customDomains` | Array of strings | No       | `["@gmail.com"]`             | Email-domain suffixes to include when looking for addresses.                            |
| `maxEmails`     | Integer          | No       | `5`                          | Maximum emails targeted for each keyword + domain combination. Allowed range: 1–10,000. |
| `excludeWords`  | Array of strings | No       | `[]`                         | Words or phrases that cause matching descriptions to be skipped.                        |

The `keywords` field accepts multiple values. Specific combinations such as `technology`, `software`, `software company`, or other relevant terms can be used according to your research goal.

The `location` field can be left empty when you do not want a geographic filter. When supplied, it is used to narrow the search around the specified location.

The `customDomains` field lets you control which email suffixes are considered. You can provide multiple domains in one run.

The `maxEmails` value applies independently to each keyword + domain combination. For example, three keywords and two domains create six combinations. A limit of `20` targets up to 20 newly collected emails for each combination, subject to what is publicly available.

The `excludeWords` field accepts words or phrases. Matching is case-insensitive. Single-word exclusions use whole-word matching, while phrases are matched as phrases within the description.

### Input Example

```json
{
  "keywords": [
    "technology",
    "software",
    "technology company"
  ],
  "location": "United States",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com",
    "@outlook.com"
  ],
  "maxEmails": 20,
  "excludeWords": [
    "crypto",
    "onlyfans"
  ]
}
```

### Output

Each collected result is stored as a structured dataset record.

| Field         | Description                                                         |
| ------------- | ------------------------------------------------------------------- |
| `keyword`     | The keyword used for the search that produced the result.           |
| `title`       | The title of the corresponding indexed result.                      |
| `description` | The available description or snippet associated with the result.    |
| `url`         | The URL associated with the indexed result.                         |
| `email`       | The discovered email address matching the configured domain suffix. |

The dataset is designed to preserve both the email address and the search context surrounding it. This makes the output useful for contact research, validation, categorization, and further analysis.

Duplicate email addresses are not returned repeatedly during the same run, helping keep the resulting contact dataset cleaner.

### Output Example

```json
{
  "keyword": "software",
  "title": "Example Software Profile",
  "description": "Example description containing contact@example.com and information related to software.",
  "url": "https://www.techradar.com/example-page",
  "email": "contact@example.com"
}
```

The values above are illustrative examples of the output structure. Actual titles, descriptions, URLs, and email addresses depend on the publicly indexed search results available for your selected queries.

### Use Cases

The TechRadar Email Scraper can support several research-oriented workflows:

- **Technology market research** — Collect contact information associated with technology-related search results.
- **Software research** — Investigate software-related pages and associated publicly indexed contact information.
- **Business research** — Search for technology and business-related terms while preserving source context.
- **Lead research** — Build structured contact datasets for further review and qualification.
- **Competitive research** — Gather publicly indexed information around selected technology topics.
- **Industry research** — Explore contact information related to specific technology sectors or search terms.
- **Dataset creation** — Build a reusable collection of keyword, source, URL, and email records.
- **Academic or commercial research** — Collect structured information for analysis where publicly indexed contact data is relevant.

### Competitive Advantages

The Actor provides several practical configuration options in one workflow:

- Multiple keywords can be processed in the same run.
- Multiple email-domain suffixes can be configured.
- Geographic targeting is available through the location field.
- Unwanted description matches can be filtered using exclusion terms.
- Email limits can be controlled for each keyword + domain combination.
- Output preserves the source title, description, URL, keyword, and email together.
- Duplicate discovered email addresses are avoided during the run.

These capabilities make the Actor adaptable to different research strategies without requiring users to manually repeat individual searches.

### Advantages

The main advantage is configurable, structured collection. Users can define the search terms and email domains that match their research objective rather than receiving one fixed type of result.

The output also keeps contextual information alongside each email. This is important when reviewing collected contacts because the keyword, title, description, and URL provide additional information about the search result associated with an address.

The optional exclusion filter adds another layer of control when certain words or phrases should be omitted from the collected results.

### Limitations

- Results depend on publicly indexed information available for the configured searches.
- Not every TechRadar search result will contain an email address.
- An email address may be unavailable even when a relevant page exists.
- Narrow keywords or locations may produce fewer results.
- The requested `maxEmails` value is a target limit, not a guarantee that the specified number of addresses exists.
- Free-tier operation applies a maximum result ceiling of 100 emails when the requested limit is above that ceiling or no limit is supplied.
- Search coverage can vary depending on what information is currently available in indexed results.
- Exclusion filtering can remove a result when its description contains one of the configured exclusion terms.

### Pros and Cons

| Pros                          | Cons                                                 |
| ----------------------------- | ---------------------------------------------------- |
| Multiple keyword searches     | Results depend on publicly indexed information       |
| Custom email-domain targeting | Not every result contains an email                   |
| Optional location filtering   | Narrow searches may return fewer results             |
| Exclude-word filtering        | Requested limits do not guarantee matching addresses |
| Structured five-field output  | Free-tier runs have a 100-email ceiling              |
| Duplicate email prevention    | Search availability can vary                         |

### Comparison With Alternative Approaches

| Capability                    | TechRadar Email Scraper                 | Manual Search                      |
| ----------------------------- | --------------------------------------- | ---------------------------------- |
| Multiple keyword processing   | Supported                               | Requires repeated searches         |
| Custom email-domain targeting | Supported                               | Requires manual search refinement  |
| Location filtering            | Supported                               | Requires manual query construction |
| Exclusion filtering           | Supported                               | Usually requires manual review     |
| Structured output             | Keyword, title, description, URL, email | Often requires manual collection   |
| Duplicate prevention          | Supported during the run                | Requires manual checking           |
| Dataset creation              | Built into the Actor workflow           | Requires separate organization     |

This comparison describes workflow characteristics rather than claiming that one approach is suitable for every research requirement.

### Best Practices

- Use several specific keywords when your target topic has different descriptions or job-related variations.
- Start with a small `maxEmails` value to evaluate the quality of results before increasing it.
- Add multiple relevant email domains when broader email coverage is needed.
- Leave `location` empty for broad searches when geographic targeting is not required.
- Use a specific location when regional relevance matters.
- Keep exclusion terms focused so useful results are not unintentionally removed.
- Review the returned title, description, URL, and email together when evaluating a contact.
- Treat collected email addresses as research data and validate important information before using it in a business workflow.
- If results are sparse, consider broader or additional keywords and review whether the location filter is too restrictive.

### Troubleshooting

**Invalid Input**

Check that `keywords` is an array of strings and that `maxEmails`, when supplied, is an integer between 1 and 10,000. Email-domain and exclusion fields should also be provided as arrays of strings.

**Empty Results**

Try broader or additional keywords. If a location was specified, test the same search without the location filter to determine whether geographic narrowing is limiting the available indexed results.

**Too Few Results**

A requested target does not guarantee that matching addresses exist. Consider adding relevant keywords or email domains and using a broader location.

**Unexpectedly Filtered Results**

Review `excludeWords`. If a description contains one of the configured exclusion terms, that entire description is skipped.

**Missing Email Addresses**

A relevant indexed result may not expose an email address matching your selected domain suffixes. Adding other appropriate domains can broaden the search.

**Partial Results**

Search availability can vary. Review the collected dataset and, when appropriate, run another search using refined keywords or configuration.

### Frequently Asked Questions

**What does the TechRadar Email Scraper do?**

It searches publicly indexed TechRadar results using your configured keywords and email-domain suffixes and returns matching email addresses with their associated keyword, title, description, and URL.

**What keywords should I use?**

Use specific terms that describe the people, companies, subjects, or technology topics you are researching. Multiple related keywords can provide broader search coverage than one generic term.

**Can I use multiple keywords?**

Yes. The `keywords` field is an array and supports multiple search terms or queries in the same run.

**Can I search by location?**

Yes. The optional `location` field accepts a country, state, or city. Leave it empty when geographic filtering is not required.

**Which email domains can I search?**

You can provide email-domain suffixes through `customDomains`, such as `@gmail.com`, `@yahoo.com`, or `@outlook.com`.

**What does `maxEmails` mean?**

It controls the number of emails targeted for each individual keyword + domain combination. It is not a single shared target across all combinations.

**Can I exclude certain results?**

Yes. Add words or phrases to `excludeWords`. If an exclusion term appears in a result description, that description is skipped.

**Does the Actor return duplicate emails?**

The Actor tracks discovered email addresses and avoids returning the same email address repeatedly during the run.

**What if the requested number of emails is not found?**

The requested number is a target, not a guarantee. Results depend on publicly indexed information. Broader keywords, additional domains, or a less restrictive location can increase the potential search coverage.

**What does the output contain?**

Each result contains `keyword`, `title`, `description`, `url`, and `email`.

### NLP Keywords

- TechRadar email scraper
- TechRadar email extraction
- TechRadar contact data
- TechRadar email addresses
- TechRadar contact scraper
- TechRadar lead data
- TechRadar data extraction
- TechRadar search results
- TechRadar contact discovery
- TechRadar business contacts
- technology email scraper
- software email extraction
- public email discovery
- email domain filtering
- keyword-based email search
- location-based contact search
- structured contact dataset
- public contact information
- email lead research
- technology contact research

### Related Keywords

- TechRadar email finder
- TechRadar contact finder
- TechRadar email extractor
- TechRadar lead scraper
- scrape TechRadar emails
- extract emails from TechRadar
- TechRadar business email scraper
- TechRadar public email search
- TechRadar contact information scraper
- technology business email finder
- software contact email scraper
- email scraper for technology research
- keyword email scraper
- targeted email extraction
- public email scraper
- business contact data extraction
- email research automation
- structured email lead data
- technology lead research
- contact dataset creation

### Final Overview

TechRadar Email Scraper provides a configurable way to collect publicly indexed email addresses associated with TechRadar search results. Users can define multiple keywords, optional geographic filters, custom email domains, per-combination email limits, and exclusion terms.

The resulting dataset contains the email address together with its keyword, title, description, and URL, providing useful context for research and analysis.

For the most relevant results, start with focused keywords, use appropriate email domains, and adjust the location or exclusions according to your research objective. Because collection depends on publicly indexed information, the number of available results can vary from one search configuration to another.

*Contact me:* <Alphascraper69@gmail.com>

# Actor input Schema

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

A list of keywords or queries to search for.

## `location` (type: `string`):

Optional country, state or city used to narrow the search. Leave it empty to search without a geographic filter.

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

List of custom email domains

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

How many addresses each search keyword + domain suffix combination may collect before the finder moves on to the next one. This is a per-combination target, not a run-wide total: with 3 keyword and 2 Domains and a limit of 20, the run works through all 6 combinations and aims for up to 20 addresses in each, so up to 120 overall. Lower values finish sooner and cost less; higher values dig deeper but never guarantee a fuller result, since the run can only find what is publicly listed.

## `excludeWords` (type: `array`):

Words or phrases you do not want to see.

## Actor input object example

```json
{
  "keywords": [
    "technology",
    "software"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com"
  ],
  "maxEmails": 5,
  "excludeWords": []
}
```

# 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": [
        "technology",
        "software"
    ],
    "location": "",
    "customDomains": [
        "@gmail.com"
    ],
    "excludeWords": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("email_scraper/techradar-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": [
        "technology",
        "software",
    ],
    "location": "",
    "customDomains": ["@gmail.com"],
    "excludeWords": [],
}

# Run the Actor and wait for it to finish
run = client.actor("email_scraper/techradar-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": [
    "technology",
    "software"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com"
  ],
  "excludeWords": []
}' |
apify call email_scraper/techradar-email-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,email_scraper/techradar-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/OJsUtJVeTtBKk6Lgs/builds/3YYXe0VQS6aGm9A5Z/openapi.json