extract-phone 0.1.0

A fast CLI tool to extract, validate, and identify phone numbers from text, files, and web pages.

phone-harvest

A fast CLI tool to extract, validate, and identify phone numbers from text, files, and web pages.

Features

• Extract from anywhere — text strings, local files, URLs, or entire websites
• International support — recognizes phone numbers from 200+ countries using Google's libphonenumber
• Auto-identify — detects country, city/region, carrier, and number type (mobile/landline/toll-free/VoIP)
• E.164 normalization — outputs all numbers in standardized [phone] format
• Number deobfuscation — handles dot-separated (555.123.4567), fullwidth digits, unicode dashes, HTML entities
• Smart validation — rejects fake/invalid numbers using Google's phone number database
• Recursive crawling — follow links within a domain up to N levels deep
• Polite crawling — rate limiting and robots.txt compliance built-in
• Country/type filtering — include or exclude by country code or number type
• Multiple output formats — plain text, CSV, JSON, JSONL with full metadata
• Proxy support — route requests through HTTP/HTTPS proxies
• Pipe-friendly — works with stdin/stdout for shell pipelines
• Python API — use as a library in your own scripts

Installation

pip install phone-harvest

Requires Python 3.8+. Only 3 dependencies: requests, beautifulsoup4, phonenumbers.

Quick Start

Extract phone numbers from a web page:

phonex https://example.com/contact

With full details (country, carrier, type):

phonex https://example.com/contact --detail

Output:

[phone]  US  FIXED_LINE_OR_MOBILE  New York, NY  stdin
[phone]  GB  FIXED_LINE  London  stdin

Extract from a local file:

phonex contacts.html --format json --detail

[
  {
    "number": "[phone]",
    "national": "[phone]",
    "international": "[phone]",
    "country_code": "US",
    "country_name": "New York, NY",
    "carrier": "",
    "type": "FIXED_LINE_OR_MOBILE",
    "source": "contacts.html"
  }
]

Pipe text through stdin:

echo "Call [phone] or [phone]" | phonex -

Crawl an entire website:

phonex https://example.com --depth 2 --max-pages 100 -v

CLI Reference

phonex [OPTIONS] SOURCE...

Region

Flag	Default	Description
--region, -r CODE	US	Default country for local numbers (ISO 3166-1)

Crawling Options

Flag	Default	Description
--depth N	0	Recursion depth for URLs (0 = single page)
--max-pages N	50	Maximum pages to crawl per URL
--rate-limit SEC	1.0	Seconds between requests
--ignore-robots	off	Ignore robots.txt restrictions
--proxy URL	—	HTTP/HTTPS proxy
--timeout SEC	10	Request timeout

Filtering Options

Flag	Description
--include-country CODE	Only keep numbers from this country (repeatable)
--exclude-country CODE	Exclude numbers from this country (repeatable)
--type TYPE	Only keep: MOBILE, FIXED_LINE, TOLL_FREE, VOIP (repeatable)
--no-deobfuscate	Disable number deobfuscation

Output Options

Flag	Default	Description
--format, -f	plain	Output format: plain, csv, json, jsonl
--output, -o FILE	stdout	Write to file
--detail, -d	off	Include country, carrier, type, source
--national	off	Output in national format instead of E.164
--sort	off	Sort alphabetically
--count	off	Print only the count

Python API

from phone_extractor import PhoneExtractor

ex = PhoneExtractor(default_region="US")

# From text
results = ex.from_text("Call [phone] or [phone]")
for r in results:
    print(f"{r.number} | {r.country_code} | {r.country_name} | {r.number_type}")
    # [phone] | US | New York, NY | FIXED_LINE_OR_MOBILE
    # [phone] | GB | London | FIXED_LINE

# Just the numbers
numbers = ex.extract_simple("Call [phone]")
# ['[phone]']

# From file
results = ex.from_file("contacts.html")

# From HTML with tel: link detection
results = ex.from_html("<a href='tel:[phone]'>Call</a>")

# With country filtering
ex = PhoneExtractor(
    default_region="US",
    include_countries=["US", "GB"],
    exclude_countries=["RU"],
    include_types=["MOBILE"],
)

Web Crawling API

from phone_extractor import PhoneExtractor
from phone_extractor.crawler import WebCrawler

ex = PhoneExtractor(default_region="US")
crawler = WebCrawler(ex, rate_limit=1.0, respect_robots=True)

# Single page
results = crawler.extract_url("https://example.com/contact")

# Recursive crawl
results = crawler.crawl("https://example.com", max_depth=2, max_pages=100)

for r in results:
    print(f"{r.number} ({r.country_name}) found on {r.source}")

Phone Number Deobfuscation

phone-harvest automatically normalizes common obfuscation patterns:

Obfuscated	Normalized
555.123.4567	555-123-4567
555 dash 123 dash 4567	555-123-4567
+1 212 555 1234	[phone]
%2B1 212 555 1234	[phone]
Fullwidth digits ５５５	555
Unicode dashes 555–123–4567	555-123-4567
Non-breaking spaces	Regular spaces

Comparison

Feature	phone-harvest	python-phonenumbers	PhoneInfoga	CommonRegex
CLI tool	Yes	No	Yes (Go)	No
Python API	Yes	Yes	No	Yes
Web page extraction	Yes	No	No	No
Recursive crawling	Yes	No	No	No
International support	200+ countries	200+ countries	Yes	US-only
Country detection	Yes	Yes	Yes	No
Carrier lookup	Yes	Yes	Yes	No
Number type (mobile/landline)	Yes	Yes	Yes	No
E.164 normalization	Yes	Yes	N/A	No
Number validation	Yes	Yes	Yes	No
Deobfuscation	Yes	No	No	No
robots.txt compliance	Yes	N/A	N/A	N/A
JSON/CSV output	Yes	No	JSON	No
stdin pipe support	Yes	No	No	No
pip install	Yes	Yes	No	Yes

Development

git clone https://github.com/thunderbit/phone-harvest.git
cd phone-harvest
pip install -e ".[dev]"
pytest

Also by Thunderbit

• email-harvest — Extract email addresses from text, files, and web pages
• image-harvest — Discover and batch download images from web pages
• product-harvest — Extract structured product data using Schema.org

License

MIT

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