Superclean Urls

Clean messy URLs from lead exports. Remove tracking parameters, normalize format, and extract domains. Optimized for cold email personalization workflows.

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Features

• Remove tracking parameters - Strip UTM, fbclid, gclid, and 50+ other tracking params
• Normalize format - Consistent protocol, trailing slashes
• Extract domains - Pull clean domain names from full URLs
• Validate URLs - Identify and flag invalid URL formats

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Input Parameters

Parameter	Type	Required	Default	Description
items	array	Yes	—	List of URLs to clean
style	string	No	full	Output format: full (cleaned URL) or domain (domain only)
forceHttps	boolean	No	true	Convert http:// to https://
removeTracking	boolean	No	true	Remove tracking parameters (utm_*, fbclid, etc.)

Output Styles

• full (default) - Full cleaned URL in output field
• domain - Just the domain name in output field

Component fields (protocol, path, query, hash) are always included regardless of style.

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Output Fields

Field	Type	Description
id	integer	Row number (1-based)
input	string	Original URL
output	string	Cleaned result (format depends on style)
domain	string	Extracted registrable domain (e.g., example.com)
protocol	string	Protocol (http or https)
path	string	URL path (e.g., /about/contact)
query	string	Query string without ? (e.g., foo=bar&baz=1)
hash	string	Fragment/anchor without #
valid	boolean	Whether the URL format is valid
confidence	number	Confidence score (0-1)

Confidence Scoring

• 1.0 - Valid URL, no changes needed
• 0.9 - Valid URL, tracking removed or normalized
• 0.7 - URL fixed (protocol added)
• 0.3 - Partially valid (domain extracted but issues remain)
• 0.0 - Invalid URL (couldn't parse)

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Example

Input

{
    "items": [
        "https://www.example.com/?utm_source=linkedin&fbclid=abc123",
        "http://ACME.COM/about/",
        "example.com/contact",
        "not a valid url"
    ],
    "style": "full"
}

Output

[
    {
        "id": 1,
        "input": "https://www.example.com/?utm_source=linkedin&fbclid=abc123",
        "output": "https://www.example.com",
        "domain": "example.com",
        "valid": true,
        "confidence": 0.9
    },
    {
        "id": 2,
        "input": "http://ACME.COM/about/",
        "output": "https://acme.com/about",
        "domain": "acme.com",
        "valid": true,
        "confidence": 0.9
    },
    {
        "id": 3,
        "input": "example.com/contact",
        "output": "https://example.com/contact",
        "domain": "example.com",
        "valid": true,
        "confidence": 0.7
    },
    {
        "id": 4,
        "input": "not a valid url",
        "output": "not a valid url",
        "domain": "",
        "valid": false,
        "confidence": 0
    }
]

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Use Cases

• Cold email personalization - Clean company URLs before using in email templates
• Lead enrichment - Normalize URLs from scraped or imported lead lists
• Data hygiene - Remove tracking params before storing in CRM
• Domain extraction - Pull domains for company research or deduplication

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Tracking Parameters Removed

The actor removes 60+ tracking parameters including:

• UTM - utm_source, utm_medium, utm_campaign, utm_term, utm_content
• Facebook - fbclid, fb_action_ids, fb_source
• Google - gclid, gclsrc, dclid, gbraid, wbraid
• Microsoft - msclkid
• LinkedIn - li_fat_id, li_tc
• Email marketing - mc_eid, mc_cid, _hsenc, _hsmi, mkt_tok
• Analytics - _ga, _gl, ref, spm, clickid

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More from Superlative

• Superclean Company Names — Clean messy company names for cold emails and CRM.
• Superclean Product Names — Clean product names from e-commerce data.
• Superclean Person Names — Clean person names for cold email personalization.
• Superclean Job Titles — Normalize job titles for lead scoring and personalization.
• Superclean Places — Normalize location data from lead exports.
• DNS Lookup — Query DNS records for any domain.
• HTTP API — Make HTTP requests from your workflows.

Built by Superlative — Clean data in. Better emails out.