Goodreads Phone Number Scraper

🔍 Goodreads Phone Number Scraper

Goodreads Phone Number Scraper helps you find public phone numbers that authors, book clubs, bookstores and reviewers publish on goodreads.com, in author profiles, groups and book pages. Enter keywords such as author or reviewer, choose a country, and the Actor returns validated phone numbers with the page title, the text snippet that contains each number, and a direct link to the source page.

It is built for publishers, book marketers, literary agents and event organizers who want to reach authors and book communities without checking profiles one by one. The Goodreads Phone Number Scraper uses only publicly available information, so you don't need a Goodreads account, API key or login.

🚀 Quick start: Open the Goodreads Phone Number Scraper, add keywords like author or reviewer, select a country such as United Kingdom (+44), set your phone number limit and click Start. Results appear in a dataset you can export to CSV, Excel or JSON.

✨ Goodreads Phone Number Scraper – Key Features

The Goodreads Phone Number Scraper turns keyword searches into a structured list of author and book community contacts you can verify and use.

• 🔑 Keyword-based search – target roles, niches or topics such as author, reviewer, book club, bookstore or illustrator.

• 🌍 194 countries supported – pick a country and its dial code; only numbers valid for that country are kept.

• ✅ Validated phone numbers – every number the Goodreads Phone Number Scraper saves is checked and stored in the international E.164 format, such as +441314960247.

• 🧹 Automatic de-duplication – each phone number appears only once per run, even when several keywords find it.

• 🔗 Source context included – every record has the page title, the public snippet and the Goodreads URL.

• 💾 Structured output – export as JSON, CSV, Excel, XML or HTML, or read results through the Apify API.

• 🔄 Reliable long runs – if the platform restarts a run, the Goodreads Phone Number Scraper continues without saving duplicate numbers.

🔹 Why use the Goodreads Phone Number Scraper?

Benefit	What it means for you
No login needed	Works with publicly available goodreads.com pages only
Clean contact data	Validated, de-duplicated numbers in one consistent format
Easy to verify	Source URL and text snippet for every phone number
Predictable costs	Result limits and spending caps keep each run under control

📊 What Data Does the Goodreads Phone Number Scraper Extract?

The Goodreads Phone Number Scraper saves one record per phone number. Each record connects the number to the keyword that found it and the public Goodreads page it came from.

Field	Description	Example
phone_number	Validated phone number in E.164 format	+441314960247
country	Country selected in the input	United Kingdom
dial_code	Country calling code	+44
keyword	Keyword that found this number	author
title	Title of the source page	Eleanor Brackwood (Author of The Salt…
description	Public text snippet where the number appears	visits and events, call +44 131…
url	Direct link to the source page	https://www.goodreads.com/author/…
platform	Platform the record comes from	Goodreads
proxyGroups	Technical information about the connection used for the run	–

Goodreads is a book community, and contact details usually appear where authors and groups introduce themselves. The Goodreads Phone Number Scraper can return numbers from:

• ✍️ Author profile pages – where bios can mention an agent, publicist or booking contact.

• 👥 Group pages – of book clubs and reading circles that list meeting details.

• 📚 Book pages – with descriptions that sometimes include a publisher or order contact.

• 🌐 Other public goodreads.com pages – such as reviewer profiles that show a number in their title or snippet.

🔒 Public data only: The Goodreads Phone Number Scraper reads publicly visible titles and snippets. It does not access private profiles, messages, reading lists, friend lists or any account data.

📌 What to expect: Most Goodreads pages are about books and reviews, so phone numbers appear only on a small share of profiles and groups. Author, publisher and book club keywords usually return more numbers.

🚀 How to Use the Goodreads Phone Number Scraper

You can run the Goodreads Phone Number Scraper in a few minutes without writing any code.

• Step 1 – Open the Actor: open Goodreads Phone Number Scraper in Apify Console and go to the Input tab.

• Step 2 – Add keywords: enter roles, niches or terms such as author, reviewer, publisher or bookstore.

• Step 3 – Choose a country: select the country whose phone numbers you need. The dial code is applied automatically.

• Step 4 – Set your limit: enter the maximum number of phone numbers and decide whether it applies per keyword or to the whole run.

• Step 5 – Start the run: click Start and follow the log. The Goodreads Phone Number Scraper processes keywords in the order you entered them.

• Step 6 – Export your data: download the dataset as CSV, Excel or JSON, or send it to your CRM.

⏰ Large searches: For high phone-number limits or many keywords, increase the timeout in Run options. The default timeout is 3,600 seconds (1 hour).

🧭 How to Find Author and Book Club Contact Numbers on Goodreads

Keyword and country together decide which phone numbers you receive. The Goodreads Phone Number Scraper looks for public goodreads.com pages that match your keyword and contain a number valid for the selected country, then extracts and validates every number it detects.

For example, to reach UK crime writers for a festival, combine author, crime and novelist with United Kingdom (+44). To find book clubs and reviewers in Nigeria, try reviewer and book club with Nigeria (+234).

🔹 Choosing keywords that return more phone numbers

• Use book roles such as author, novelist, illustrator, reviewer or publisher.

• Use genre terms such as romance, fantasy, crime, poetry or children's books.

• Use community words such as book club, reading group, bookstore or library.

• Add several short, related keywords instead of one long, narrow phrase.

💡 Can the Goodreads Phone Number Scraper Limit Phone Numbers per Keyword or per Run?

Yes. The Goodreads Phone Number Scraper gives you two ways to apply the Max Phone Numbers limit, controlled by the Per Keyword Scrape Max Contacts switch.

Setting	How the limit works	Example with 3 keywords and a limit of 50
ON (default)	The limit applies to each keyword separately	Up to 150 phone numbers in total
OFF	The limit applies to the whole run	Up to 50 phone numbers in total

With the switch ON, every keyword gets its own share, so one popular keyword cannot use up the whole limit. With the switch OFF, the Goodreads Phone Number Scraper stops as soon as the total is reached.

⚠️ Heads-up: With the switch ON, a run can collect – and be billed for – up to Max Phone Numbers × number of keywords, and it takes proportionally longer.

🎯 Goodreads Phone Number Scraper – Use Cases

The Goodreads Phone Number Scraper fits any workflow where you need direct contact with authors and reading communities.

• 📣 Book marketing – find reviewers and book clubs for launches and advance copies.

• 🎤 Author events – invite authors to festivals, school visits, podcasts or signings.

• 🤝 Publishing partnerships – reach independent authors and small presses for rights or services.

• 🛠️ Author services – offer editing, cover design or audiobook production to writers.

• 📊 Market research – see how many authors in a genre publish a contact number in a country.

• 🗂️ CRM enrichment – add phone numbers and Goodreads links to author records.

📥 Goodreads Phone Number Scraper Input

The Goodreads Phone Number Scraper uses a simple input form. Only Keywords and Country are required.

Field	Type	Required	Description
keywords	List of text	Yes	Keywords to search for, such as roles, niches or names. Default: author, reviewer
country	Select	Yes	Country of the phone numbers you need, shown with its dial code. Default: United Kingdom (+44)
maxPhoneNumbers	Number (1–10,000)	No	Maximum number of phone numbers to collect. Default: 5
perKeywordMaxContacts	On/Off	No	ON: the limit applies to each keyword. OFF: the limit applies to the whole run. Default: ON
proxyConfiguration	Proxy settings	No	Optional connection settings. The default works for most users

🔹 Example input for the Goodreads Phone Number Scraper

{
    "keywords": [
        "author",
        "reviewer"
    ],
    "country": "United Kingdom (+44)",
    "maxPhoneNumbers": 5,
    "perKeywordMaxContacts": true
}

💡 Note: A higher limit allows more potential results but does not guarantee reaching that number. The Goodreads Phone Number Scraper stops early when no more matching public numbers are available.

📤 Goodreads Phone Number Scraper Output

Every phone number the Goodreads Phone Number Scraper finds is saved as a separate record in the run's dataset. Here is a sample of two records:

[
    {
        "phone_number": "+441314960247",
        "country": "United Kingdom",
        "dial_code": "+44",
        "keyword": "author",
        "title": "Eleanor Brackwood (Author of The Salt Road) | Goodreads",
        "description": "Historical fiction author based in Edinburgh. For school visits and events, call +44 131 496 0247.",
        "url": "https://www.goodreads.com/author/show/12345678.Eleanor_Brackwood",
        "platform": "Goodreads"
    },
    {
        "phone_number": "+441914980731",
        "country": "United Kingdom",
        "dial_code": "+44",
        "keyword": "reviewer",
        "title": "Northern Pages Book Club (Newcastle) | Goodreads",
        "description": "Monthly book club run by a local reviewer in Newcastle. New members welcome, call 0191 498 0731.",
        "url": "https://www.goodreads.com/group/show/1234567-northern-pages-book-club",
        "platform": "Goodreads"
    }
]

Each record also includes the technical proxyGroups field. Local formats such as 0191 498 0731 are converted to the international format +441914980731.

🔹 Export and integration options

• 📁 Download the dataset as JSON, CSV, Excel, XML or HTML.

• 🔌 Use the Apify API to start Goodreads Phone Number Scraper runs and fetch results from your own scripts or apps.

• ⏱️ Schedule runs to refresh your results daily, weekly or monthly.

• 🔗 Connect integrations such as webhooks, Make or Zapier to send new contacts to your CRM or spreadsheet.

💰 Goodreads Phone Number Scraper Pricing

The Goodreads Phone Number Scraper is priced per result: you pay for each phone number record saved to your dataset. The current price is always shown on the Actor's Pricing tab.

Plan or setting	What happens
Free Apify plan	Each run returns up to 20 phone number results
Paid Apify plan	Each run returns up to your Max Phone Numbers limit
Maximum cost per run	The run stops when your limit is reached, so you are not billed beyond it

💡 Cost tip: Start with a small limit, such as 5–20 phone numbers, to test your keywords before you launch a large Goodreads Phone Number Scraper run.

🛠️ Goodreads Phone Number Scraper Tips and Best Practices

Follow these tips to get more useful results from the Goodreads Phone Number Scraper:

• 🧪 Test first – run two or three keywords with a low limit to see which ones return numbers.

• 🔁 Low results? Re-run with broader keywords, more related terms or a different country.

• 🌍 Match the country to your audience – numbers are validated for the selected country only.

• 🔍 Check the profile – open the url and read the author's or group's latest activity before reaching out.

⚖️ Use data responsibly: Phone numbers are personal data in many countries. Follow privacy laws such as GDPR and CCPA and local telemarketing and anti-spam rules, respect opt-out requests and never use the data for spam.

❓ Goodreads Phone Number Scraper – Frequently Asked Questions

🔹 What is a Goodreads phone number scraper?

It is a tool that collects phone numbers published on public Goodreads pages. The Goodreads Phone Number Scraper on Apify does this automatically for your keywords and country and returns validated, structured results.

🔹 How do I find an author's contact number on Goodreads?

Enter keywords such as author or a genre like fantasy, choose the author's country and start the run. The Goodreads Phone Number Scraper collects numbers that appear on public author, group and book pages.

🔹 Do I need a Goodreads account?

No. The Actor works only with publicly available information, so it needs no Goodreads login, cookies or API key. You only need an Apify account.

🔹 Why did the Goodreads Phone Number Scraper return fewer phone numbers than my maximum?

The maximum is an upper limit, not a guarantee. If only a few public pages match your keyword and country, the Goodreads Phone Number Scraper finishes early with the numbers it found. Try broader keywords, more keywords or another country.

🔹 Can the Goodreads Phone Number Scraper collect numbers from a specific country?

Yes. Choose one of 194 countries in the Country field. Only numbers valid for that country are saved, together with the country name and dial code.

🔹 In what format does the Goodreads Phone Number Scraper save phone numbers?

All numbers are saved in the international E.164 format, such as +441314960247, which works well with CRMs, dialers and spreadsheets.

🔹 Does the Goodreads Phone Number Scraper remove duplicates?

Yes. Each phone number is saved only once per run, even if several keywords or pages contain it. The first keyword that found the number is stored in the keyword field.

🔹 Can I run the Goodreads Phone Number Scraper on a schedule or through an API?

Yes. You can schedule runs in Apify Console, start them with the Apify API, and send the results to other tools with webhooks or integrations.

🔹 Is it legal to use a Goodreads Phone Number Scraper?

The Goodreads Phone Number Scraper collects only publicly available data. You are responsible for using it in line with GDPR, CCPA and local telemarketing rules.

📬 Goodreads Phone Number Scraper Support

Have a question about the Goodreads Phone Number Scraper, found an issue, or need a tweak or a custom build? Get in touch – feedback and feature requests are always welcome.

• contact me by email : alphascraper69@gmail.com