Mercadolibre Email Scraper

Mercadolibre Email Scraper 🔍

Mercadolibre Email Scraper is an Apify actor that automatically extracts contact emails from publicly available web data related to Mercadolibre using your keywords. If you’re looking to extract mercadolibre emails for lead generation, find mercadolibre contact email finder records faster, or build a mercadolibre email database, this tool helps you scale email discovery without manual searching—saving you hours of work.

Whether you're a marketer, recruiter, sales ops specialist, or data analyst, Mercadolibre Email Scraper helps you turn topic ideas into structured leads by combining keywords, an optional location filter, and custom email-domain filters.

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Why choose Mercadolibre Email Scraper?

Feature	Benefit
✅ All-in-one email harvesting	Helps you extract mercadolibre emails for multiple keywords and email domains in one run
✅ Reliability with proxy support	Improves consistency with built-in proxy configuration for scraping public web data
✅ Fallback logic for better coverage	Uses fallback scraping behavior when no emails are found with the initially selected proxy settings
✅ Structured JSON output	Returns consistent fields like keyword, email, title, description, and url for analysis
✅ Scale-friendly batching	Works across multiple keywords and custom domains so you can grow your mercadolibre leads email scraper dataset
✅ Export-ready results	Produces a dataset you can export (e.g., JSON/CSV) for CRM and downstream workflows

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Key features

• 📌 Keyword-driven email discovery: Uses your provided keywords to find relevant public web pages for email extraction
• 🌍 Location filter option: Adds location when you want leads from a specific region
• 🎯 Custom email domain filters: Uses your customDomains list (like @gmail.com) to focus on the email types you care about
• 🧠 Email extraction from publicly available text: Extracts email addresses that match the allowed domains from scraped page text
• 🛡️ Proxy configuration support: Lets you configure proxies via proxyConfiguration for more reliable scraping runs
• 🔄 Fallback behavior for missed results: If no emails are found, it can switch scraping behavior to improve outcome coverage
• 💾 Deduplication built-in: Avoids duplicate emails across results using an in-run seen_emails set
• 📊 Clear, structured output records: Each extracted email becomes a result object with keyword context and source URL

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Input

Provide input via an input.json file. Example structure:

{
  "keywords": ["honda", "wallet"],
  "location": "",
  "mercadolibreSite": "Mercadolibre Brazil (mercadolivre.com.br)",
  "customDomains": ["@gmail.com"],
  "proxyConfiguration": {}
}

Input Fields

Field	Required	Description
keywords	Yes	A list of keywords to search for (used to find relevant Mercadolibre-related public pages and extract emails).
location	No	A location to filter search results. Leave it empty ("") if you don’t want location filtering.
mercadolibreSite	No	The Mercadolibre regional platform to scrape (choose the country site you care about).
customDomains	No	A list of custom email domains to target during extraction (for example @gmail.com). Only emails matching these domains are returned.
proxyConfiguration	No	Proxy settings for this Actor. Use this to enable and configure proxy usage for more reliable scraping.

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Output

After execution, the actor saves collected results in JSON format via await Actor.push_data(results).

A typical output looks like this:

[
  {
    "keyword": "honda",
    "title": "Some page title from the scraped result",
    "description": "Extracted text (or 'No data' if missing) from the result description area",
    "url": "http://example.com/source-page-link",
    "email": "contact@example.com"
  }
]

Output Fields

Field	Type	Description
keyword	string	The keyword that produced this email result
title	string	The text content for the result title area (from the scraped result block)
description	string	Extracted text from the result description area (or No data if no description is available)
url	string	The href link associated with the scraped result
email	string	The extracted email address matching one of your customDomains
error_message	❌	Not present in the actor output—results are pushed as objects containing the fields listed above

Export note: once stored in the Apify dataset, you can export the data (for example to JSON/CSV) for analysis or importing into your workflow.

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How to use Mercadolibre Email Scraper (via Apify Console)

1. Open Apify Console
   Log in at console.apify.com and go to the Actors tab.

2. Find Mercadolibre Email Scraper
   Search for Mercadolibre Email Scraper and open the actor page.

3. Go to the INPUT section
   Use the built-in form to enter:

   • keywords
   • Optional location
   • Optional mercadolibreSite
   • Optional customDomains
   • Optional proxyConfiguration

4. Set your email-domain targets (recommended) 📧
   In customDomains, add the domains you want to capture (this is what makes the mercadolibre email scraper results more useful for outreach).

5. Configure proxy settings (optional) 🛡️
   If you need improved scraping reliability, set proxyConfiguration accordingly. The actor can also use fallback behavior when no emails are found for your initial proxy settings.

6. Click Run ▶️
   Start the run and watch logs to see progress for each keyword/domain combination and the extracted records.

7. Review results in the OUTPUT tab
   Open the dataset to view the JSON records (keyword, title, description, url, email) and export them for downstream use (CRM, spreadsheets, or analysis).

No coding required—get results in minutes with this SEO-friendly mercadolibre email harvesting tool.

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Advanced features & SEO optimization

• 🔍 Engineered for “Mercadolibre Email Scraper” workflows: Built specifically for lead generation where you need a mercadolibre seller email scraper tool style output (emails tied to keyword context).
• 🌐 Email-domain targeting for cleaner leads: Uses your customDomains to focus on the kinds of mercadolibre business email scraper leads you actually want.
• 🔄 Resilience via fallback behavior: If a run finds no emails under the initial proxy configuration, it can switch scraping behavior to try to improve outcome coverage.
• 🧾 Structured dataset for analysis-ready pipelines: The output is consistently shaped (ideal for analysts building a mercadolibre email database or for marketers validating lead sources).
• 📊 Keyword-rich extraction at scale: Works across multiple keywords and domains, making it a practical choice for automated mercadolibre email scraping and harvest pipelines.

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Best use cases

• 📈 Marketing teams building lead lists: Quickly collect contact emails tied to relevant Mercadolibre topics for outreach campaigns.
• 🧑‍💼 Sales operations teams sourcing prospects: Expand a pipeline by scraping emails from publicly available sources using your keyword strategy and custom email domains.
• 🔎 Data analysts enriching datasets: Combine keyword context (keyword) and source context (url, title) with extracted emails for analysis.
• 🏪 Ecommerce and brand researchers: Gather mercadolibre contact email finder data around product-related keywords to map competitive presence.
• 💼 Recruiters and sourcing specialists: Discover publicly listed contact emails for brand or seller communication workflows.
• 🛠️ Automation engineers integrating with CRMs: Feed extracted emails into downstream systems using the actor’s structured JSON dataset output.
• 🎯 Lead generation specialists: Build a practical mercadolibre email harvesting pipeline by iterating on keywords and domain filters.

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Technical specifications

• Supported Input Formats

  • ✅ keywords as an array of strings
  • ✅ location as a string (optional)
  • ✅ mercadolibreSite as a selected country platform from the provided enum
  • ✅ customDomains as an array of strings (email domains)
  • ✅ proxyConfiguration as an object (proxy settings)

• Proxy Support

  • ✅ Proxy configuration via proxyConfiguration
  • ✅ Built-in fallback behavior when no emails are found under initial proxy conditions

• Retry Mechanism

  • ❌ Not specified in the provided source code as a user-configurable retry count

• Dataset Structure

  • ✅ JSON array of objects pushed via Actor.push_data(results)
  • ✅ Each result contains: keyword, title, description, url, email

• Rate Limits & Performance

  • ✅ Processing is done per keyword and per domain, and results are deduplicated within the run
  • ❌ No explicit speed or throughput numbers are provided in the source

• Limitations

  • ❌ Only emails matching customDomains are returned
  • ❌ If no relevant public data contains extractable emails for the chosen domains, the output may be empty

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FAQ

Do I need to provide all input fields for Mercadolibre Email Scraper?

No. The only required field is keywords. You can leave location, mercadolibreSite, customDomains, and proxyConfiguration at their defaults if you want a quick start.

What email addresses will the actor extract?

It extracts email addresses that match the allowed domains from customDomains. For example, if customDomains includes @gmail.com, it will return emails ending with @gmail.com.

Can I target a specific Mercadolibre country site?

Yes. Use mercadolibreSite to select the regional platform from the provided list (for example, Mercadolibre Brazil (mercadolivre.com.br)).

Does location filtering work?

Yes. If you set location (it’s a string), the actor includes it to narrow results. If you keep location empty (""), it will not apply a location filter.

How is the output structured for analysis?

The actor pushes an array of result objects to the dataset, each containing keyword, title, description, url, and email. This makes it easy to import into spreadsheets, BI tools, or CRM pipelines.

Can I integrate this into a Python workflow?

Yes. In Apify, dataset export can be used to move results into your Python/ETL pipeline. The actor itself is designed to output structured JSON records, which is typically easy to process programmatically in downstream steps.

Is this data taken from private or logged-in pages?

❌ No. This tool is intended to work with publicly available sources. It does not access private profiles, authenticated-only content, or password-protected pages.

What should I do if I need help or have a feature request?

For questions about Mercadolibre Email Scraper, share your request and details with dataforleads@gmail.com.

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Support & feature requests

Have feedback or want to improve Mercadolibre Email Scraper? We’d love to hear from you. 😊

• 💡 Feature Requests: Examples include adding additional export options (CSV/Excel), expanding output fields beyond keyword, title, description, url, and email, or enhancing email-domain filtering features for your mercadolibre email database workflow.
• 📧 Contact: Reach out via dataforleads@gmail.com.

Your input directly shapes the roadmap for better automated mercadolibre email scraping.

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Closing CTA / Final thoughts

If you’re serious about extracting mercadolibre emails at scale, Mercadolibre Email Scraper is a practical, SEO-friendly way to build lead-ready results fast.

Use this mercadolibre email scraper to turn keyword ideas into structured contact data—without the manual grind.

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Disclaimer

This tool only accesses publicly accessible sources and extracts email addresses from publicly available web data. It does not access private profiles, authenticated-only information, or password-protected pages.

It is your responsibility to comply with applicable laws and regulations (including GDPR and CCPA where relevant), as well as spam rules and the target platforms’ terms of service while using this actor.

If you need data removal, contact: dataforleads@gmail.com.

Please use Mercadolibre Email Scraper responsibly, ethically, and for legitimate purposes only.