Goodreads Email Scraper avatar
Goodreads Email Scraper

Pricing

$5.00/month + usage

Go to Store
Goodreads Email Scraper

Goodreads Email Scraper

scraper-mind/goodreads-email-scraper

Developed by

Scraper Mind

Maintained by Community

GoodReads Email Scraper – Effortlessly scrape GoodReads emails by keywords & location for outreach, marketing & research! Fast, accurate & proxy-enabled for seamless scraping. 📊 Export data in JSON, CSV, Excel. Perfect for authors, marketers & researchers!

0.0 (0)

Pricing

$5.00/month + usage

0

Monthly users

1

Runs succeeded

>99%

Last modified

a day ago

GoodReads Email Scraper - Fast, Accurate & Affordable

Unlock the power of GoodReads email scraping with the GoodReads Email Scraper! Fast, Accurate & Affordable ⚡️👌, this tool helps you collect GoodReads emails based on specified keywords, perfect for authors, marketers, and researchers looking to build their outreach.


🔍 Key Features

  • Keyword-Based Search: Enter keywords like "john", "marketing", and more to find specific GoodReads email addresses.
  • Location Filtering: Refine results by specifying the location.
  • Platform Selection: Specifically scrapes GoodReads listings.
  • Custom Email Domains: Customize the email domains to be included in the search (default is @gmail.com).
  • Proxy Support: Use proxies to avoid rate-limiting issues and scrape seamlessly.

📚 Input Parameters

1{
2  "keywords": ["john", "marketing"],
3  "location": "New York",
4  "platform": "GoodReads",
5  "customDomains": ["@gmail.com"],
6  "proxyConfiguration": {
7    "useApifyProxy": true
8  }
9}

The GoodReads Email Scraper uses the following input parameters for customization:

  • keywords:

    • A list of keywords to search for (e.g., ["john", "marketing"]).
  • location:

    • Filter search results by location (optional).
  • platform:

    • Scrapes from GoodReads (this is the only available option).
  • customDomains:

    • A list of custom email domains to filter the results (e.g., @gmail.com).
  • proxyConfiguration:

    • Optional setting for configuring proxy usage.

📈 Output Structure

The output data is structured as follows:

  • keyword: The search keyword used.
  • title: The name of the book, author, or listing associated with the email address.
  • description: A description containing the extracted email address.
  • url: The link to the GoodReads page where the email was found.
  • email: The extracted email address.

Example Output JSON

1[
2  {
3    "keyword": "john",
4    "title": "John's Bestselling Book",
5    "description": "Contact the author at johnwrites@gmail.com",
6    "url": "https://www.goodreads.com/book/show/12345678",
7    "email": "johnwrites@gmail.com"
8  }
9]

🛠️ How to Use

  1. Input Keywords and Email Domains:

    • Enter the desired keywords (e.g., ["john", "marketing"]) and custom email domains.
  2. Run the Actor:

    • Click on Run to start the email scraping process from GoodReads.
  3. Enable Proxies (Optional):

    • If you need to scrape at a high volume, set up proxies to avoid rate-limiting issues.
  4. Download & Use the Data:

    • After scraping, you can download the results in formats like JSON, CSV, or Excel for outreach, marketing, or further analysis.

👩‍🎓 Best Use Cases

  • Author Outreach: Connect with authors for collaborations and promotions.
  • Book Marketing: Identify potential contacts for book promotions and influencer partnerships.
  • Market Research: Gather contact details of publishers, reviewers, and authors on GoodReads.
  • Data Aggregation: Integrate GoodReads email data into your CRM or email marketing tool.

💬 Support & Feedback

Need help with the GoodReads Email Scraper or have feedback to improve it? We would love to hear from you! Contact us through our support channels for any questions or suggestions.

Pricing

Pricing model

Rental 

To use this Actor, you have to pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage.

Free trial

2 hours

Price

$5.00