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Decision Maker Name & Email Extractor

Pricing

$15.00/month + usage

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Decision Maker Name & Email Extractor

Decision Maker Name & Email Extractor

Developed by

Dominic M. Quaiser

Dominic M. Quaiser

Maintained by Community

An actor that crawls a website to identify key decision‑maker names and job titles, then uses NER‑powered matching to extract and pair their email addresses for streamlined lead generation and B2B data enrichment.

1.0 (2)

Pricing

$15.00/month + usage

5

Total users

33

Monthly users

33

Runs succeeded

>99%

Last modified

10 days ago

Changelog

[0.7.0—beta] — 2025-07-23

Added

  • Custom Request Headers: Added defaultRequestHeaders input to allow custom HTTP headers for all requests
  • Language Filtering: Added languageCountryCode input to specify language/country codes for URL filtering
  • Improved Error Handling: Added more robust error handling throughout the pipeline

Changed

  • Code Refactoring: Restructured codebase for better maintainability and clarity
  • Name Extraction Improvements: Enhanced name validation and extraction logic to reduce false positives
  • Email Matching Optimization: Improved accuracy of email-person matching algorithm
  • URL Processing: Optimized URL processing and domain extraction logic
  • HTML Parsing: Enhanced BeautifulSoup parsing with better context detection

[0.6.0—alpha] — 2025-07-19

Added

  • New user inputs for explorationMode, depth, pagecount, priorityLinkKeywords, useCstomJobTitles and customJobTitles.

Chnaged

  • Improvements to the name extraction and validation.

[0.5.1—alpha] — 2025-07-15

Fixed

  • Minor Bug Fixes: Addressed issues in name extraction logic to ensure more consistent and accurate results.

[0.5.0—alpha] — 2025-07-13

Added

  • New Input Settings: Introduced jobTitles and obeyRobotstxt settings to enhance customization and compliance.
    • jobTitles: Allows users to specify target job titles for more precise extraction.
    • obeyRobotstxt: Ensures adherence to website robots.txt files for ethical crawling.

Changed

  • Updated Job Title Lists: Refined and expanded the internal job title database to improve accuracy and relevance of extracted decision-maker information.

Fixed

  • Extraction and Processing Improvements: Resolved multiple bugs affecting data extraction and processing, resulting in more reliable and accurate outputs.

[0.4.0—alpha] — 2025-07-11

Changed

  • Enhanced Name Processing: Optimized the handling of extracted names to improve accuracy, reduce false positives, and better support complex name formats.

Fixed

  • Minor Bug Fixes: Addressed issues in name extraction logic to ensure more consistent and accurate results.

[0.3.0—alpha] — 2025-07-11

Changed:

  • Expanded FALSE_POSITIVE_SELECTORS to include broader matching for testimonial-like content, including elements with class or ID containing "customer", "client", "review", "quote", "press", and related keywords.

[0.2.0—alpha] — 2025-07-09

Changed:

  • Replaced the NER model with a slightly smaller one from Hugging Face. This new model offers better performance and improved support for multilingual names, paving the way for future internationalization features.

Added:

  • Support for bulk URL input. Each URL is processed independently.

[0.1.0—alpha] — 2025-07-08

Added:

  • Initial alpha release of the Decision Maker Name & Email Extractor.