Goodreads Email Scraper

An Apify actor that extracts email addresses from Goodreads profiles based on search keywords and optional location filtering. It's designed for lead generation, market research, and targeted outreach, offering a scalable and cost-effective alternative to similar tools.

Key Features

• Multi-Keyword Search: Use multiple keywords to target specific audiences or niches on Goodreads.
• Location Filtering: Narrow results by geographic location to find local authors, reviewers, or businesses.
• Custom Email Domain Filter: Filter extracted emails by specific domains (e.g., @gmail.com).
• Direct Profile Links: Output includes direct URLs to Goodreads profiles for quick access.
• Scalable Execution: Handles small to large volumes. Use proxies to avoid blocks during high-volume runs.
• Automatic Pagination: Efficiently processes large result sets.
• Proxy Support: Compatible with Datacenter, Residential, and Special proxies for reliable scraping.

Input

Configure the actor using a JSON input object. Only the keywords field is required.

{
  "keywords": ["science fiction", "book reviewer"],
  "location": "London",
  "customDomains": ["@gmail.com"],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Input Fields:
* keywords (array, required): List of keywords to search for Goodreads profiles.
* location (string, optional): Geographic location to filter results.
* customDomains (array, optional): Filter results to only include emails from these domains.
* proxyConfiguration (object, optional): Configuration for proxy usage. Setting useApifyProxy to true is recommended for stability.

Output

The actor outputs a dataset of JSON objects, each representing an extracted email from a matching profile.

[
  {
    "keyword": "science fiction",
    "title": "John Doe (Author)",
    "description": "Sci-fi author. Contact: johndoe.author@gmail.com",
    "url": "https://www.goodreads.com/author/show/12345",
    "email": "johndoe.author@gmail.com"
  }
]

Output Fields:
* keyword: The search keyword that found this profile.
* title: The name or title of the Goodreads profile.
* description: Bio or content snippet from the profile.
* url: Direct link to the Goodreads profile.
* email: The email address extracted from the profile.

How to Use

1. Set Parameters: Define your search keywords. Optionally add a location filter and list of customDomains.
2. Configure Proxies: For best results, especially for large runs, enable proxyConfiguration (e.g., "useApifyProxy": true).
3. Run the Actor: Start the actor with your input. It will search Goodreads and extract emails from matching profiles.
4. Get Results: Download the scraped data from the dataset in JSON, CSV, or other formats via the Apify console or API.

Typical Use Cases:
* Building contact lists for author outreach or book promotion.
* Lead generation for literary services, editing, or marketing.
* Academic or market research within the Goodreads community.