Spam Score Checker
Spam Score Checker
By
Check a domain’s spam risk and key signals. Review backlinks, age, and content flags. Prioritize fixes to protect SEO trust.
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week
Automate Website Data Extraction FastUse Thunderbit’s Chrome extension to scrape and extract structured data while you browse. Pull details from pages, subpages, PDFs, docs, and images with minimal setup.
Install fromChrome Web Store
Automate Website Data Extraction Fast
Collect the fields you need from any website using Thunderbit’s AI Web Scraper. Click AI Suggest Fields, scrape listings with pagination, and enrich results by visiting subpages to capture deeper details.
Extract and format structured information from webpages, PDFs, docs, and images, then summarize or categorize it into clean tables. Export to Google Sheets, Airtable, or Notion, or download as CSV or JSON for your workflow.
How to Check Spam Score Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionOpen Chrome and launch the Thunderbit extension. In the Spam Score Checker, go to the "Enter URLs or Domains" tab, then paste one or more website URLs or domain names into the Targets field, using commas or new lines to separate entries. Select your preferred Score scale ("0-100" or "percentage"), and choose whether to include explanations ("yes" or "no") based on how much detail you want in the results table.
STEP 3Click the Check spam score ButtonClick the "Check spam score" button to generate a table of results for each input. Thunderbit will return a spam score, a risk level, and (if enabled) a brief explanation with top risk factors. After the table is generated, export the results to Excel, Google Sheets, Airtable, or Notion, or download the data as CSV or JSON.
Learn how to check spam risk scores for websites and domains
Evaluate spam risk for one or many targets
Spam Score Checker lets you paste one URL, a list of domains, or mixed inputs separated by commas or new lines, then returns a spam-risk score for each entry. It’s built for SEO teams, marketers, and site owners who need a quick way to triage questionable sites, partner domains, or inbound links. Instead of relying on gut feel, you get a consistent score to guide next steps.
Explain the score with practical risk signals
Beyond a number, the tool can include short explanations and top risk factors that commonly correlate with spam penalties, such as suspicious backlink patterns, thin or duplicated content signals, doorway-page behavior, or malware and phishing indicators. This is useful for analysts who need to justify decisions to stakeholders, and for operators who want clear remediation ideas. Results are heuristic estimates designed for fast screening.
Prioritize SEO cleanup and link review workflows
Use the scores to sort domains into Low, Medium, and High risk so you can focus time where it matters. SEO practitioners can review risky backlinks, flag questionable referring domains, and decide what to investigate further before outreach, disavow work, or content updates. Agencies can also use it during audits to document risk across client portfolios and keep reporting consistent across projects.
Support partner vetting and content placement decisions
When evaluating sponsorships, guest posts, affiliate placements, or directory listings, Spam Score Checker helps teams compare multiple candidate sites in one run. Ecommerce and marketing teams can screen publishers before committing budget, while sales and partnerships teams can avoid associating with domains that may harm brand trust. The score scale can be shown as 0-100 or as a percent-style label to match your reporting format.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Frequently Asked Questions
Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week