Crunchbase Email Scraper
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Crunchbase Email Scraper
Crunchbase Email Scraper extracts publicly available email addresses from Crunchbase-related search results using targeted keywords, locations, and custom email domains. Build structured lead datasets with emails, titles, descriptions, and URLs for B2B research and prospecting.
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from $1.49 / 1,000 results
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Email Scraper
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Crunchbase Email Scraper
Crunchbase Email Scraper extracts publicly listed email addresses associated with Crunchbase search results based on the keywords, email domains, and optional location you provide. It is designed for users who need structured Crunchbase contact data for lead research, market research, business intelligence, prospecting, and dataset creation.
Enter one or more specific search keywords, optionally narrow the search to a country, state, or city, and select the email domains you want to find. The Actor processes each keyword and email-domain combination separately and returns structured results containing the matched keyword, Crunchbase result title, description, URL, and email address.
The Actor is especially useful when broad searches produce limited results. Using several closely related search terms and relevant email domains can improve search coverage and help you build a more useful Crunchbase email dataset.
What Is the Crunchbase Email Scraper?
The Crunchbase Email Scraper is an Apify Actor for discovering email addresses published in Crunchbase-related search results. It searches for Crunchbase pages using your selected keywords and email-domain suffixes, then extracts matching email addresses from the available search-result descriptions.
The workflow is simple from the user's perspective:
Keywords + Location + Email Domains + Exclude Words → Crunchbase search results → Structured email dataset
You can process multiple keywords in one run and use multiple domain suffixes such as @gmail.com, @yahoo.com, or other domains. A location can also be supplied to narrow the search geographically.
The Actor de-duplicates email addresses during collection so the resulting dataset focuses on unique emails rather than repeatedly storing the same address.
Key Features
| Feature | Description | User Benefit |
|---|---|---|
| Keyword-based search | Search Crunchbase-related results using custom keywords or queries | Target specific industries, roles, topics, or business segments |
| Multiple keywords | Accepts a list of search keywords | Expand research coverage within one run |
| Location filtering | Supports an optional country, state, or city | Narrow searches to a geographic market |
| Custom email domains | Supports multiple email-domain suffixes | Search for different types of email addresses |
| Per-combination target | maxEmails applies independently to each keyword + domain combination | Control collection depth for each search combination |
| Exclude words | Skips result snippets containing specified words or phrases | Reduce unwanted or irrelevant matches |
| Structured dataset | Saves keyword, title, description, URL, and email data | Makes results easier to analyze and reuse |
| Duplicate filtering | Tracks previously collected email addresses | Helps avoid duplicate email records |
| Incremental dataset output | Results are pushed as they are collected | Makes collected records available during the run |
| Progress persistence | Run progress is saved for continuation after interruption | Helps preserve collection state |
What Data Can You Extract?
The Crunchbase Email Scraper returns contact-oriented information from qualifying Crunchbase search results. Each collected record can contain:
- Network — identifies the source as Crunchbase.com.
- Keyword — the search keyword responsible for the result.
- Title — the title associated with the matching search result.
- Description — the result description or snippet where the matching information was found.
- URL — the source result URL.
- Email — the email address matching one of the selected email-domain suffixes.
This structure is useful for building Crunchbase contact datasets where the original search context remains connected to each discovered email address.
The title, description, keyword, and URL provide additional context around each email, which can be helpful when reviewing results or segmenting a dataset for further research.
Why Use This Actor?
Manual research can require repeatedly searching Crunchbase-related pages, reviewing snippets, locating contact information, and copying records into a structured list. The Crunchbase Email Scraper turns that repetitive search process into a configurable Actor workflow.
Instead of relying on a single broad keyword, you can provide multiple targeted search terms. For example, a user researching fitness businesses could use terms such as Fitness Coach, Fitness Trainer, Fitness Influencer, and Online Fitness Coach.
You can also combine keyword targeting with location and domain filters. This makes the Actor suitable for focused lead research rather than only broad discovery.
Benefits
The main benefits of using the Crunchbase Email Scraper include:
- Automated contact discovery — reduce repetitive manual searching.
- Structured results — receive consistent records in an Apify dataset.
- Flexible targeting — combine keywords, locations, domains, and exclusion terms.
- Search segmentation — keep each result connected to the keyword that discovered it.
- Research efficiency — collect multiple targeted searches from one Actor run.
- Reusable datasets — use the resulting records for analysis, research, or downstream workflows.
- Duplicate reduction — unique email tracking helps limit repeated email addresses.
How to Use the Crunchbase Email Scraper
Using the Crunchbase Email Scraper requires only a few user-facing steps:
- Enter the keywords or queries you want to search.
- Add a country, state, or city in the location field when geographic targeting is needed.
- Select the email-domain suffixes you want to find.
- Set the maximum email target for each keyword + domain combination.
- Add exclude words or phrases when you want to filter specific result descriptions.
- Start the Actor and review the structured dataset.
For broad research, use several specific but related keywords. For local research, add an appropriate location. For greater email coverage, use relevant domain suffixes rather than relying on a single domain.
Input
The Actor accepts a JSON object with one required field and four configurable fields.
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
keywords | Array of strings | Yes | ["Funding", "Company"] | Keywords or queries used for Crunchbase searches |
location | String | No | "" | Optional country, state, or city used to narrow the search |
customDomains | Array of strings | No | ["@gmail.com"] | Email-domain suffixes to search for |
maxEmails | Integer | No | 10 | Maximum emails targeted for each keyword + domain combination; range 1–10,000 |
excludeWords | Array of strings | No | [] | Words or phrases that cause a matching result description to be skipped |
The keywords field is required and accepts multiple values. The Actor processes keyword and domain combinations separately.
The location field is optional. Leave it empty when you do not want a geographic filter.
The customDomains field can contain multiple suffixes, such as @gmail.com, @yahoo.com, or other domains relevant to your research.
The maxEmails setting is a per-keyword + domain target rather than one shared run-wide target. For example, with 3 keywords, 2 domains, and a limit of 20, the Actor works through 6 combinations and targets up to 20 emails for each combination when qualifying results are available.
For free users, the Actor applies a maximum of 100 emails when the requested limit exceeds the free-tier ceiling. Paid users are not subject to that code-level free-tier ceiling.
Input Example
{"keywords": ["Fitness Coach","Fitness Trainer","Online Fitness Coach"],"location": "United States","customDomains": ["@gmail.com","@yahoo.com"],"maxEmails": 20,"excludeWords": ["crypto","onlyfans"]}
Output
The Crunchbase Email Scraper writes collected records to the Apify dataset incrementally.
Each output record contains the source network, the keyword used for discovery, the search-result title, description, URL, and extracted email address.
The dataset view is organized around the most useful lead fields, including keyword, title, description, URL, and email. The network field is also included in the Actor's pushed output and identifies the source as Crunchbase.com.
Results are de-duplicated using the collected email address, so the same email is not intentionally stored repeatedly during the run.
The Actor may return fewer results than the requested target when qualifying public search results are not available. A larger maxEmails value does not guarantee that the requested number of addresses will be found.
Output Fields
| Field | Description |
|---|---|
network | Source network identifier, set to Crunchbase.com |
keyword | Keyword used for the search |
title | Title of the matching search result |
description | Search-result description or snippet associated with the result |
url | URL of the matching search result |
email | Extracted email address matching a selected domain suffix |
Output Example
{"network": "Crunchbase.com","keyword": "Fitness Coach","title": "Example Fitness Company","description": "Example Fitness Company contact information example@example.com","url": "https://www.crunchbase.com/organization/example-fitness-company","email": "example@example.com"}
The example above illustrates the output structure with placeholder-style public sample data. Actual values depend on the search results available for your selected keywords, location, and email domains.
Use Cases
The Crunchbase Email Scraper can support a range of targeted research workflows:
- Lead research — discover publicly listed email addresses related to specific business keywords.
- Market research — build datasets around industries, company categories, or professional segments.
- Business intelligence — retain search context together with contact information.
- Competitive research — organize relevant Crunchbase-related results for analysis.
- Prospecting research — identify potentially useful contact records based on targeted search terms.
- Dataset creation — collect structured records for further processing and analysis.
- Geographic research — focus searches on selected countries, states, or cities.
- Email-domain research — compare results across selected email-domain suffixes.
Use the results responsibly and validate important contact information before using it in business workflows.
Advantages
The Actor provides several practical strengths for users who need keyword-driven Crunchbase email research:
| Advantage | Why It Matters |
|---|---|
| Flexible keyword targeting | Lets you create focused search combinations |
| Geographic targeting | Helps narrow discovery to a specific location |
| Multiple email domains | Supports different contact-address patterns |
| Exclusion filtering | Helps remove snippets containing unwanted terms |
| Structured output | Preserves context alongside each email |
| Duplicate tracking | Helps keep collected email addresses unique |
| Configurable collection targets | Gives control over collection depth |
Limitations
The Crunchbase Email Scraper depends on qualifying search-result data being available for the selected query combinations. It does not guarantee that every keyword will produce the requested number of emails.
Important limitations include:
- Results can be sparse when keywords are too narrow.
- A location filter can reduce the number of matching results.
- Selecting more restrictive email domains can reduce coverage.
maxEmailsis a target, not a guarantee of available results.- The Actor stops collecting when its search conditions no longer produce useful new email results.
- Free users are subject to the code-level maximum of 100 collected emails when applicable.
- Search-result availability can affect the amount and quality of data returned.
For better coverage, use related keywords, relevant domain suffixes, and broader geographic targeting when appropriate.
Pros and Cons
| Pros | Cons |
|---|---|
| Supports multiple targeted keywords | Narrow searches may produce sparse results |
| Optional geographic filtering | Location filtering can reduce coverage |
| Custom email-domain targeting | Restrictive domains may reduce matches |
| Structured contact and search context | Output depends on available search-result information |
| Exclude-word filtering | Incorrectly chosen exclusions may remove potentially useful snippets |
| Duplicate email tracking | A unique email may still appear across different contexts |
Comparison With Alternative Approaches
| Capability | This Actor | Manual / Typical Alternative |
|---|---|---|
| Keyword-based search | Supported | Usually requires repeated searches |
| Multiple search terms | Supported | Often handled one search at a time |
| Geographic filtering | Supported | Requires manual query refinement |
| Email-domain targeting | Supported | Requires repeated filtering or searching |
| Exclude-word filtering | Supported | Usually manual |
| Structured output | Supported | May require manual formatting |
| Duplicate email tracking | Built into collection workflow | Often requires spreadsheet cleanup |
| Incremental dataset records | Supported | Usually copied or recorded manually |
This comparison focuses on workflow capabilities rather than claims about external products or competing services.
Best Practices
For better results with the Crunchbase Email Scraper:
- Use several specific, closely related keywords instead of relying on one broad term.
- Start with a small
maxEmailsvalue and review the results before increasing collection depth. - Add several relevant email domains when your research requires broader email coverage.
- Use location filters when geographic relevance is important.
- Remove overly restrictive filters when result volume is low.
- Use exclude words only when you are confident those terms indicate records you do not want.
- Validate important contact records before using them in outreach or operational processes.
The Actor's own input guidance recommends broadening keywords, domains, or location when results are sparse.
Troubleshooting
Invalid or unexpected input: Verify that keywords is an array of strings and that maxEmails is an integer between 1 and 10,000.
Empty results: Try broader keywords, remove the location filter, or add more relevant email-domain suffixes.
Too few results: Increase the target, add related keywords, or expand the geographic scope. A higher target cannot create results that are not available.
Missing email addresses: The Actor only collects addresses that match the configured domain suffixes and are available in qualifying result descriptions.
Excluded records: Review excludeWords. Single-word exclusions use whole-word matching, while phrases use case-insensitive phrase matching.
Interrupted collection: The Actor persists run progress and collected email state, allowing collection state to be preserved during interruption scenarios.
Temporary fetch problems: Review the Actor run logs and rerun with valid inputs when appropriate. Search availability can vary during collection.
Frequently Asked Questions
What does the Crunchbase Email Scraper do? It searches Crunchbase-related results using your keywords and selected email domains, then collects matching email addresses with useful search-result context.
What inputs does the Crunchbase Email Scraper support?
It supports required keywords plus optional location, customDomains, maxEmails, and excludeWords settings.
Can I search multiple keywords in one run?
Yes. The keywords input accepts multiple search terms, and each keyword can be processed across the selected email domains.
Can I target a specific country or city?
Yes. Enter a country, state, or city in location to narrow the search geographically.
Can I search multiple email domains?
Yes. Add multiple suffixes such as @gmail.com and @yahoo.com in customDomains.
What is the maxEmails limit?
The configured value is a target for each keyword + domain combination and can range from 1 to 10,000. Actual results may be lower.
Why did I receive fewer emails than requested? The requested target is not a guarantee. Narrow keywords, location filters, selected domains, or limited available search results can reduce collection volume.
What does excludeWords do?
It skips a result snippet when the configured word or phrase appears in its description. Single words use whole-word matching, while phrases use case-insensitive substring matching.
Does the Actor remove duplicate emails? Yes. The collection workflow tracks previously seen email addresses to avoid intentionally adding the same email more than once.
What data is returned?
Each record contains network, keyword, title, description, url, and email.
NLP Keywords
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Related Keywords
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Final Overview
Crunchbase Email Scraper provides a configurable way to search Crunchbase-related results for publicly available email addresses using targeted keywords, optional geographic filters, custom email domains, and exclusion terms.
Its structured output preserves the email together with the keyword, result title, description, and URL, making the collected data easier to review, analyze, and organize. For stronger coverage, use multiple relevant keywords, appropriate domain suffixes, and a geographic scope that matches your research goals.
The Actor is best suited to users who need a practical, structured workflow for Crunchbase email research and dataset creation while retaining the search context behind each collected contact.
Contact me: Alphascraper69@gmail.com