Goodreads Phone Number Scraper
Pricing
$4.99/month + usage
Goodreads Phone Number Scraper
Extract author contact numbers with our Goodreads Phone Number Scraper. Find public phone numbers from author profiles for outreach.
Pricing
$4.99/month + usage
Rating
0.0
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Developer

Lead Heaven
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Bookmarked
2
Total users
1
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a day ago
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๐ Goodreads Phone Number Scraper - Fast, Advanced & Cheapest
Welcome to the Goodreads Phone Number Scraper, the most efficient tool to supercharge your Goodreads lead generation efforts. Whether you're a digital marketer, recruiter, sales professional, or business owner, this tool provides unparalleled access to verified phone numbers from Goodreads profiles.
By using this scraper, you'll bypass traditional gatekeepers and gain direct access to decision-makers. Stop wasting time on manual researchโlet automation take over and drive your outreach strategy with precision and speed.
This is the fastest, cheapest, and most advanced solution on the market, equipped with powerful filtering options, global coverage, and unmatched reliabilityโall designed to help you generate high-quality leads effortlessly.
๐ฅ Input Parameters Guide
Before running the scraper, configure the following input parameters:
| Parameter | Type | Description | Default | Best Practice |
|---|---|---|---|---|
keywords | Array (Required) | Core search terms to target. | None | Use specific job titles or industries. |
location | String (Optional) | Geo-targeting (e.g., city or region). | None | Specify a location for better results. |
country | String (Required) | Country to target (e.g., 'United States (+1)'). | None | Select from available country codes. |
maxPhoneNumbers | Integer (Optional) | Limit the number of phone numbers to extract. | 100 | Adjust based on your campaign needs. |
Example Input Configuration
{"keywords": ["marketing", "CEO"],"location": "New York","country": "United States (+1)","maxPhoneNumbers": 50}
๐ค Output Data Structure
The scraper delivers clean, structured data in JSON or CSV format for seamless integration into your marketing or CRM tools.
| Field | Description | Importance |
|---|---|---|
keyword | The search term used. | High |
title | Name or title of the profile. | High |
description | Profile bio or description. | Medium |
url | Link to the Goodreads profile. | High |
phone number | Extracted phone number. | High |
country | Country of the phone number. | Medium |
dial_code | International dialing code. | Medium |
Example Output JSON
[{"keyword": "marketing","title": "John Doe","description": "Marketing expert with 10+ years experience.","url": "https://www.goodreads.com/profile/johndoe","phone number": "+1-555-123-4567","country": "United States","dial_code": "+1"}]
๐ Why Choose Our Goodreads Phone Number Scraper?
1. โก Unmatched Speed and Efficiency
Our scraper processes data faster than any other tool, saving you time and resources. Extract verified phone numbers from Goodreads profiles in minutes.
2. ๐ฏ Highly Targeted Search Results
Use advanced filters to target specific keywords and locations, enabling precise marketing automation with Goodreads data.
3. ๐ฐ The Most Affordable Solution on the Market
This is the cheapest Goodreads phone number scraper available, offering cost-effective lead generation without compromising quality.
4. ๐ Global Reach and Scalability
Extract phone numbers from Goodreads profiles worldwide. Whether you're targeting local or international markets, we've got you covered.
5. ๐ Global Country Support
Our tool supports country-specific targeting, ensuring compliance with dialing codes and regional preferences.
6. ๐ก๏ธ Robust and Reliable
Built with advanced error handling and data validation, our scraper ensures accurate and reliable results every time.
๐ ๏ธ How It Works
- Input Keywords: Define your target audience using specific keywords.
- Set Location: Optionally, narrow your search by city or region.
- Choose Country: Select the country you want to target.
- Run the Scraper: Start the process and let the scraper extract data.
- Download Results: Export the data in JSON or CSV format.
๐ก Practical Use Cases for Your Business
1. ๐ B2B Lead Generation
Identify and connect with decision-makers in your industry to accelerate your sales pipeline.
2. ๐งโ๐ผ Recruitment and Talent Acquisition
Find top talent or potential candidates in specific industries or locations.
3. ๐ฃ Marketing and Outreach Campaigns
Launch targeted cold outreach campaigns with verified contact information.
๐ Maximizing Your ROI: Best Practices for Cold Outreach
- Personalize your messages to resonate with your audience.
- Use engaging subject lines to increase email open rates.
- Follow up consistently without being intrusive.
- Segment your leads by location, industry, or title.
- Track and analyze your outreach performance.
โ Frequently Asked Questions (FAQ)
-
Is this scraper legal to use? Yes, it only extracts publicly available data in compliance with applicable laws.
-
How fast is the scraper? It can extract hundreds of phone numbers within minutes.
-
Can I filter by location? Yes, you can specify a city or region for more targeted results.
-
How accurate is the data? We use advanced algorithms to ensure the highest level of accuracy.
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Can I integrate the data into my CRM? Yes, the output is compatible with most CRM systems.
-
What does it cost? Our solution is the most affordable on the market. Contact us for pricing.
-
Do I need proxies? Yes, we recommend residential proxies for optimal performance.
๐ง Troubleshooting Common Issues
- 0 results: Broaden your keywords or reduce location filters.
- Slow performance: Lower the
maxPhoneNumbersparameter. - No results found: Not all Goodreads profiles have public phone numbers.
๐ Support, Feedback & Custom Solutions
Have questions, feedback, or need a custom solution? We're here to help.
Email Us: leadheavencontact@gmail.com
Key Features Summary
- โ Fast and efficient data extraction
- โ Cost-effective lead generation
- โ Highly targeted search capabilities
- โ Clean and structured output
- โ Global country support
- โ Compliant with legal guidelines
- โ Dedicated support team
Start identifying new business opportunities today with the Goodreads Phone Number Scraper!