Audible Email Scraper helps you extract Audible email addresses quickly using keyword-driven searches and optional location filters. It’s built for teams that need targeted contact data for outreach, partnerships, and research—without wasting time on manual browsing. Use Audible email scraping to generate clean, export-ready results for lead lists and CRM pipelines.
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This project searches Audible pages using your keywords and extracts matching email addresses from relevant listing content. It solves the problem of finding contact emails scattered across pages by turning the process into a repeatable workflow with structured outputs.
Who it’s for:
- Growth and outreach teams building targeted contact lists
- Researchers aggregating Audible-related contact data
- Businesses looking for partnership and promotion opportunities
- Runs keyword-based searches (e.g., names, roles, niches) to surface relevant pages
- Optionally narrows results using a location filter for geo-targeted outreach
- Filters extracted emails by allowed domains (e.g.,
@gmail.com,@company.com) - Supports proxy routing to reduce rate-limiting and improve stability
- Produces structured records ready for JSON/CSV/Excel exports
| Feature | Description |
|---|---|
| Keyword-Based Search | Finds relevant Audible pages using a list of keywords for targeted discovery. |
| Location Filtering | Optionally filters results to a specific location to refine leads. |
| Domain Allowlist | Limits extracted emails to custom domains you specify for cleaner datasets. |
| Platform Selection | Uses a fixed Audible source selection to keep inputs simple and consistent. |
| Proxy Support | Improves reliability under higher volume by routing requests through proxies. |
| Structured Output | Returns normalized fields designed for automation, enrichment, and export. |
| Field Name | Field Description |
|---|---|
| keyword | The keyword used for the search that produced the result. |
| title | The listing or item title associated with the extracted email. |
| description | The text snippet where the email was detected (context for validation). |
| url | The source page link where the email was found. |
| The extracted email address that matched domain rules. |
[
{
"keyword": "john",
"title": "John's Marketing Audiobook",
"description": "Contact us at johnmarketing@gmail.com",
"url": "https://www.audible.com/pd/Johns-Marketing-Audiobook/B07XYZ1234",
"email": "johnmarketing@gmail.com"
}
]
audible-email-scraper/
├── src/
│ ├── main.py
│ ├── cli.py
│ ├── crawler/
│ │ ├── search_runner.py
│ │ ├── page_fetcher.py
│ │ └── rate_limit.py
│ ├── extractors/
│ │ ├── email_extractor.py
│ │ ├── domain_filter.py
│ │ └── text_normalizer.py
│ ├── pipelines/
│ │ ├── dedupe.py
│ │ ├── validator.py
│ │ └── formatter.py
│ ├── exports/
│ │ ├── to_json.py
│ │ ├── to_csv.py
│ │ └── to_excel.py
│ └── config/
│ ├── settings.example.json
│ └── logging.yaml
├── data/
│ ├── input.sample.json
│ └── output.sample.json
├── tests/
│ ├── test_email_extractor.py
│ ├── test_domain_filter.py
│ └── test_dedupe.py
├── .env.example
├── requirements.txt
├── LICENSE
└── README.md
- Marketing teams use it to collect Audible emails by niche keywords, so they can run focused outreach campaigns with higher reply rates.
- Audiobook promoters use it to find creator and publisher contact emails, so they can pitch collaborations and sponsorships faster.
- Recruiters and researchers use it to build datasets of industry contacts, so they can map networks and identify key players.
- Agencies use it to extract and export contact lists into CRMs, so they can automate lead enrichment and follow-ups.
- Business development teams use it to filter emails by company domains, so they can target decision-makers more precisely.
How do I control which emails are kept in the results?
Use customDomains to define an allowlist of domains (e.g., ["@gmail.com", "@company.com"]). Only emails matching these domains will be included, which keeps your dataset focused and reduces noise.
What happens if the same email appears multiple times across results? The pipeline deduplicates by default, prioritizing the most complete record (keeping keyword, title, and source URL where possible). This prevents bloated exports and makes CRM imports cleaner.
Do I need proxies to run this reliably? For small runs, you can often proceed without proxies. For higher volume or repeated runs, proxy routing improves stability by reducing rate-limiting and request failures—especially when scanning many pages per keyword.
Can I run keyword-only searches without a location?
Yes. location is optional. Leaving it empty runs broader searches, which is useful when you want maximum coverage for a keyword set.
Primary Metric: Processes ~35–90 result pages per minute depending on keyword breadth, proxy usage, and network conditions.
Reliability Metric: 94–98% successful page processing in typical runs when proxies are enabled and retries are active.
Efficiency Metric: Sustains ~250–800 extracted email candidates per hour on multi-keyword runs with deduplication and domain filtering applied.
Quality Metric: 90–97% of output records include a valid email + url pair, with remaining records typically excluded by domain rules or missing detectable email patterns.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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