Addresses from a file link and a pasted CSV
Every address in a linked text file and in pasted CSV rows, checked together.
Updated November 13, 2026
What this example returns
The dataset’s “Overview” view shows 10 columns: Email, Status, Score, Reason, Suggested fix, Summary, Mail provider, Disposable, Role account, and Free provider. See every output field.
What each setting does
The input this example runs Email List Cleaner – Validate, Dedupe & Score Emails with. “Try this input” opens it in the console, where you can run it as-is or change any field first.
- Paste text or CSV
emailText name,email,company Jane Doe,jane.doe@gmail.com,Acme Mark Smith,mark.smith@outlook.com,Globex Press,press@stripe.com,Stripe Temp,temp@mailinator.com,
Paste any text, a CSV export or JSON: every email address in it is picked out and checked.
- File links
fileUrls https://www.rfc-editor.org/rfc/rfc5322.txt
Links to text, CSV or JSON files with email addresses (Google Sheets, Google Drive, Dropbox and GitHub share links work too). Every address in each file is checked. Save Excel sheets as CSV first.
{
"fileUrls": [
"https://www.rfc-editor.org/rfc/rfc5322.txt"
],
"emailText": "name,email,company\nJane Doe,jane.doe@gmail.com,Acme\nMark Smith,mark.smith@outlook.com,Globex\nPress,press@stripe.com,Stripe\nTemp,temp@mailinator.com,\n"
}What it costs
You pay for the events the actor reports, such as each result or page it produces. Platform usage is included in the event prices: compute, proxies, browser and storage cost nothing extra.
- Checked emailfrom $0.00051One checked email address saved with its status, score and all check results.
When to use this example
From the Email List Cleaner – Validate, Dedupe & Score Emails readme:
Do I need a login or a proxy?
No login. Checks run over DNS and need no proxy; the proxy setting is only used to download file links.
Known limit
File links must be public text, CSV or JSON files; save Excel sheets as CSV first.
Other ways to run Email List Cleaner – Validate, Dedupe & Score Emails
- Clean a mixed email listGood, risky and bad addresses in one list, with typo fixes and duplicates removed.
- Keep only usable addressesDrops bad addresses and keeps one row per input line, duplicates included.
- Find the addresses to removeSaves only the bad addresses found in pasted text: invalid, disposable, mistyped or dead domains.
All examples of Email List Cleaner – Validate, Dedupe & Score Emails
About Email List Cleaner – Validate, Dedupe & Score Emails
Clean email lists in bulk: syntax check, domain and MX (mail server) lookup, disposable, role and free-provider detection, typo fixes like gmial.com to gmail.com, duplicates removed, and a good / risky / bad status with a 0-100 score for every address. Reads lists, pasted text, CSV files and datasets.
- Price:
- from $0.51 / 1,000 results
- Developer:
- Corner Ledger
- Categories:
- Lead generation, Developer tools, Automation
Email List Cleaner – Validate, Dedupe & Score Emails pageOutput fieldsPricing
Related actors
Latest articles
GuidesWeb Scraper Chrome Extensions: 4 Good Ones, and When to Use a Cloud Scraper
The best web scraper Chrome extensions in 2026 (Web Scraper, Instant Data Scraper, Data Miner and Evomi Web Data), what each is good at, where every extension stops, and how a cloud scraper takes over for schedules, thousands of pages and API access.
Read the article
AI agents12 Best MCP Servers in 2026: Web Data, Code, Docs and Browsers
The best MCP servers in 2026, grouped by job: web data, documentation, code, browsers, errors, databases and the official reference servers. Each with its hosted URL or install command, how it signs in, and the caveats its own README states.
Read the article
Guidesn8n Puppeteer Node: Puppeteer and Playwright in n8n Without Self-Hosting Chrome
The n8n Puppeteer node needs Chromium inside your n8n container and installs only on self-hosted n8n. How it and the Playwright nodes install, where they break, and how to run the same browser scrape on Scrape.ly from n8n instead, with a real tested run.
Read the article
The internet is full of data.
Start owning yours.
Scrape.ly gives you the infrastructure, the tooling, and the team to extract, process, and operationalize web data at any scale. Setup takes minutes.