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Feedspot Email Scraper

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Pay per usage

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Feedspot Email Scraper

Feedspot Email Scraper

Extracts emails from blogs and websites listed on Feedspot.com category pages. Searches Google for Feedspot listings, crawls them for website URLs, then scrapes contact emails from each site. Fully automated pipeline — just enter a niche keyword. Outputs deduplicated emails as JSON, CSV, or Excel.

Pricing

Pay per usage

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ScrapySpider

ScrapySpider

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5 days ago

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Feedspot Email Scraper

Extract contact emails from blogs and websites listed on Feedspot.com category pages — automatically discovered via Google Search.

Key Highlights

  • Fully automated pipeline — Google Search → Feedspot category pages → website crawling → email extraction, all in one run
  • No manual URL collection needed — just enter a niche keyword and the scraper finds relevant Feedspot lists automatically
  • Extracts emails from hundreds of websites per run — scales to large niches with minimal effort
  • URL exclusion filters — skip irrelevant results by providing partial URL patterns to exclude
  • Automatic deduplication — all extracted emails are deduplicated before output
  • Clean JSON output — ready for CRM import, outreach tools, or further processing

What Data You Get

Each output row contains a single unique email address:

{
"email": "contact@example.com"
}

The scraper also persists all results to a named dataset called AllEmails, with the original search query attached for reference across multiple runs.

Use Cases

  • Blogger outreach — find contact emails for bloggers in any niche for PR campaigns and product reviews
  • Niche lead generation — collect email addresses from websites listed in specific Feedspot categories
  • Content partnership discovery — identify potential collaborators by extracting contacts from curated blog lists
  • Influencer and blogger recruitment — build targeted lists of bloggers to recruit for campaigns or affiliate programs
  • Market research — gather contact information for businesses and content creators in specific industries

How to Use

  1. Click "Try for free" on the Actor page in Apify Console.
  2. Enter your Google search query in the query field. Use the format <niche keyword> inurl:.feedspot.com — for example, mommy inurl:.feedspot.com finds Feedspot pages listing mommy blogs.
  3. Optionally add URL exclusion patterns in the excludeList field to filter out unwanted results (e.g., ["influencers."]).
  4. Set crawling limits — adjust maxRequestsPerCrawl (Feedspot URLs) and maxRequestsPerStartUrl (pages per website) to control run size and cost.
  5. Click "Start" to begin the run.
  6. Download results from the Output tab once the run completes. Export as JSON, CSV, or Excel.

Input Parameters

ParameterTypeRequiredDefaultDescription
queryStringYesGoogle search query to find Feedspot category pages. Example: mommy inurl:.feedspot.com
excludeListArray of StringsNo["influencers."]Partial URL strings to exclude from results. Any Feedspot-listed URL containing these substrings will be skipped.
maxRequestsPerCrawlIntegerNo100Maximum number of Feedspot URLs to crawl during the run.
maxRequestsPerStartUrlIntegerNo20Maximum number of pages to crawl per extracted website when searching for contact emails.

Output Sample

{
"email": "sarah@mommyblogger.com"
}

A typical run targeting a broad niche can return dozens to hundreds of unique email addresses, depending on the number of websites listed on the matching Feedspot pages.

Pricing

Free to use — standard Apify platform credits apply based on compute and memory usage.

Important: This Actor calls two other Actors during each run:

Both consume additional platform credits. Larger runs (more Feedspot URLs or deeper website crawling) will use proportionally more credits.

Technical Notes

  • Uses Apify residential proxy (RESIDENTIAL proxy group) for crawling Feedspot pages to avoid blocking
  • Calls apify/google-search-scraper to find Feedspot category pages matching the search query
  • Calls vdrmota/contact-info-scraper to extract contact emails from each website found on Feedspot lists
  • Migration-safe — persists crawling state across Actor restarts, so interrupted runs can resume
  • Large runs may take significant time because the contact-info-scraper individually crawls each discovered website

Integrations

Connect this Actor's output to your existing tools and workflows using standard Apify integrations:

  • Make — trigger scenarios when new emails are extracted
  • Zapier — push results to Google Sheets, CRMs, or email tools
  • n8n — build custom automation workflows
  • Google Sheets — export results directly to a spreadsheet
  • REST API — programmatically start runs and retrieve results

Support