Goodreads Email Scraper β Advanced, Cheapest & Reliable π§ποΈ
by contactminerlabs
Scrape verified emails & profile data from Goodreads. Export leads to your CRM or sheets for book launch, influencer outreach, or data projects.
Opens on Apify.com
About Goodreads Email Scraper β Advanced, Cheapest & Reliable π§ποΈ
Need real email addresses from Goodreads for your outreach? This scraper pulls verified contact information directly from user profiles, saving you the manual hassle. Just tell it what you're looking forβlike specific authors, reviewers, or genresβand it gets to work. It doesn't just grab the email; it collects the profile title, bio, and the source URL, giving you the full context for each lead. I use the data for building targeted contact lists. You can easily export everything to a CSV or JSON and pop it straight into your CRM, a Google Sheet, or your email marketing platform. It's genuinely reliable for consistent runs, and it works out as one of the most cost-effective options for this kind of data. Whether you're an author doing book launch outreach, a marketer looking for literary influencers, or a researcher enriching a dataset, this handles the tedious part so you can focus on the connection.
What does this actor do?
Goodreads Email Scraper β Advanced, Cheapest & Reliable π§ποΈ is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Goodreads Email Scraper
Overview
Scrapes publicly available email addresses and profile data from Goodreads.com based on search filters. Useful for contacting authors, reviewers, and bloggers in the literary community. You pay per successful email result.
Key Features
- Extracts verified public emails from Goodreads profiles and reviews.
- Filters results by keywords, specific email domains (e.g., @gmail.com), and genres.
- Returns structured data including name, profile URL, bio snippet, email, and domain.
- Exports data in JSON, CSV, Excel, XML, or HTML formats.
- Pay-as-you-go pricing: $4.99 per month, charged only for successful email extractions.
How to Use
- Enter a keyword (e.g., "fantasy author", "book reviewer").
- Add target email domains to filter results.
- Optionally specify a genre or book niche.
- Set the number of profiles or listings to scan.
- Run the scraper and export your results.
Keyword Tips:
* Use genres: sci-fi, romance, nonfiction.
* Specify audience: parenting book reviewer, YA blogger.
* Combine with terms like author, reader, blog, or review.
Input/Output
Input: Search keywords, target email domains, optional genre, and result limit.
Output: A structured dataset with the following fields for each matching profile:
| Field | Description |
|---|---|
title |
User or author name. |
url |
Direct Goodreads profile or review URL. |
snippet |
Bio or review excerpt. |
email |
Extracted public email (if available). |
email_domain |
Domain of the extracted email. |
platform |
Always returns "goodreads". |
displayed_url |
Clean profile or content link. |
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Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Goodreads Email Scraper β Advanced, Cheapest & Reliable π§ποΈ now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- contactminerlabs
- Pricing
- Paid
- Total Runs
- 54
- Active Users
- 6
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