WebAutomation

WebAutomation.io is a London-based web data provider that combines a self-serve scraping platform, a marketplace of ready-made datasets, and a managed extraction service. The self-serve side offers more than 500 pre-built extractors that run without code, with scheduled runs, an API, and delivery to S3, Google Cloud Storage, SFTP, Zapier, or webhooks. Its dataset catalogue spans more than 600 million people profiles, 200 million company records, over a billion creator profiles, and 100 million reviews from sources such as G2, Capterra, Glassdoor, and Clutch, with a free 1,000-record sample available on each. For harder or recurring requirements, the managed service handles anti-bot measures, CAPTCHA solving, JavaScript rendering, proxy rotation, and schema design, with a named account manager on every project. The company positions this data as the enrichment layer behind AI SDR, sales intelligence, recruiting, and influencer platforms, and reports more than 4,000 customers worldwide.

Features

     
• No-Code Extractor Marketplace: More than 500 pre-built extractors for sites such as Google Maps and major review platforms run with a click, including batch URL scraping.
     
• Ready-Made Datasets: People, company, creator, and review datasets can be bought as one-off files or on quarterly or monthly refresh, filtered by any field.
     
• Managed Extraction: The team builds and maintains custom extractors for any public website and delivers clean data on a defined schedule.
     
• Anti-Bot Infrastructure: CAPTCHA solving, browser fingerprinting, JavaScript rendering, and residential and datacenter proxies across 195+ countries are included.
     
• REST API and Delivery Integrations: Datasets and extractors are available via API, with output in CSV, JSON, XML, or Parquet delivered to S3, GCS, SFTP, Zapier, or webhooks.
     
• Data Quality Controls: Records are validated against schema before delivery, and change detection adapts extractors when target sites update.
   

Pricing

WebAutomation.io sells its products along several tracks:

     
• Self-serve platform: free, then $99 to $999 per month. A free plan with trial credits, followed by Project at $99, Start-Up at $249, Business at $449, and Corporate at $999 per month, covering 400,000 to 12 million extraction credits; annual billing saves 25 percent.
     
• Pay-as-you-go: from $1 per 1,000 credits. Credits bought without a subscription never expire.
     
• Datasets: priced per record and volume. For example, 100,000 LinkedIn profiles cost $110 as a one-time purchase, with discounts of 25 percent for quarterly and 40 percent for monthly refresh.
     
• Managed extraction: $500 per website, then a fixed monthly fee. The one-time build fee is followed by a delivery fee based on volume, frequency, and site complexity.
   

Enterprise plans start from $1,000, and a concierge service to build a custom extractor starts at $299. One credit equals one successful page extraction, and subscription credits reset monthly without rolling over.

Pros

     
• Accessible for Beginners: Capterra reviewers say the pre-built extractors let newcomers collect web data without writing any code.
     
• Responsive Support: Reviewers repeatedly highlight helpful, hands-on customer support.
     
• Affordable Entry: Reviewers describe the tool as cost-effective, and pay-as-you-go credits remove the need for a subscription.
     
• Handles Difficult Sites: Anti-bot bypass, CAPTCHA solving, and proxies are built in, so users avoid running their own scraping infrastructure.
     
• Flexible Engagement Models: Teams can self-serve, buy ready datasets, or outsource extraction entirely.
     
• Strong Ratings: WebAutomation.io holds a 4.8 average on Capterra across 24 reviews, all positive.
   

Cons

     
• Inconsistent Trial Details: The free plan's credit allowance is described differently in different sections of the pricing page, so trial limits need confirming.
     
• Subscription Credits Expire: Monthly plan credits reset each cycle without rolling over, unlike pay-as-you-go credits.
     
• Complex Pages Cost More: Pages requiring multiple requests or JavaScript rendering consume more than one credit, which makes spend harder to forecast.
     
• Dataset Freshness: The standard refresh cycle is 90 days, so profile and company data can lag recent changes unless more frequent delivery is purchased.
     
• Small Review Base: Independent reviews number only a few dozen across Capterra and G2, limited relative to the customer count the company reports.