--- title: "Scrapingdog Alternative — Scraping API with AI & 7 SDKs" description: "A Scrapingdog alternative from $29/mo with the same low-cost credit model, plus AI extraction, stealth proxies, an MCP server, and 7 official SDKs." url: https://webscraping.ai/scrapingdog-alternative markdown_index: https://webscraping.ai/llms.txt --- SCRAPINGDOG ALTERNATIVE # A Scrapingdog alternative with more built in Scrapingdog is a low-cost scraping API. WebScraping.AI matches the credit model and lower $29 entry, and adds AI Q&A and field extraction, stealth proxies, an MCP server, and 7 official SDKs. [Start Free Trial](https://webscraping.ai/auth/sign_up)[View Documentation](https://webscraping.ai/docs) 2,000 free API credits · No credit card required ## WebScraping.AI vs Scrapingdog at a glance An honest, side-by-side comparison. Verify the numbers — this is a market where you should. | | WebScraping.AI | Scrapingdog | | --- | --- | --- | | Entry plan | **$29/mo** (250k credits) | $40/mo (Lite, 200k credits) | | Pay-as-you-go credits | **$0.0002/credit** ($20 = 100k), $20 minimum, valid 12 months — extended by every top-up | $0.0004/credit, **$10 minimum** , credits never expire | | Credit multipliers | 1 / 5 / 10 / 25 | 1 / 5 / 10 / 25 (same model) | | AI extraction | Yes (`/ai/question`, `/ai/fields`, any site) | Yes (AI Parser, 10 credits) | | Stealth proxies (hardest targets) | **Yes (50 credits)** | Premium/residential (10 credits) | | Official SDKs | **7** (Python, JS, Ruby, PHP, Go, Java, C#) | Python (others via examples) | | MCP server + CLI | **Yes** | Not documented | | Parsed Google SERP endpoint | Yes ([`/serp`](https://webscraping.ai/google-serp-api), 15 credits/search) | Yes | | Dedicated LinkedIn endpoint | Yes ([`/data`](https://webscraping.ai/linkedin-scraper-api): profiles, companies, jobs) | Yes | | Dedicated Amazon / Zillow endpoints | — | **Yes** | | Bills only successful requests | Yes | Yes | Pricing and credit costs last checked July 2026. Sources: [Scrapingdog pricing](https://www.scrapingdog.com/pricing/) · [WebScraping.AI pricing](https://webscraping.ai/#pricing). ## What Scrapingdog does well No tool is right for everyone. Scrapingdog is a capable product, and these are the areas where it genuinely shines — worth weighing before you switch. **Low, aggressive pricing** , plus $10 non-expiring pay-as-you-go credits. **Dedicated structured endpoints** for LinkedIn, Google/SERP, Amazon, and Zillow — pre-parsed JSON without writing selectors. **A simple URL-in / HTML-out API** with fast response times. **Responsive live-chat support.** ## Why developers look for a Scrapingdog alternative The most common reasons teams evaluate a switch. #### Reliability on hard, anti-bot sites Independent reviewers report that success on the hardest, most-protected sites can be inconsistent. WebScraping.AI's **stealth proxies** target those sites at a published 50-credit cost. #### Fewer official SDKs Scrapingdog ships a Python SDK. WebScraping.AI maintains **7 official SDKs** (Python, JS/TS, Ruby, PHP, Go, Java, C#), plus an MCP server, CLI, and n8n node. #### Thinner AI and agent tooling Scrapingdog offers an AI Parser. WebScraping.AI adds `/ai/question` for plain-English answers and `/ai/fields` for structured extraction on **any page** , plus a first-party MCP server. ## Transparent, published pricing Every request type has a fixed, published credit cost — no surprises, and you only pay for successful requests. Request type No JS + JS render Datacenter proxies 1 credit 5 credits Residential proxies 10 credits 25 credits Stealth proxies 50 credits 50 credits AI extraction add-on +5 credits Google SERP ([`/serp`](https://webscraping.ai/google-serp-api), parsed JSON) 15 credits per search Structured site data ([`/data`](https://webscraping.ai/docs#data), e.g. YouTube, LinkedIn, Reddit) 15 credits per page (50 for Reddit), incl. empty parses Plans from **$29/mo** (250k credits) · **$99/mo** (1M) · **$249/mo** (3M) · or **pay-as-you-go** from $20 (100k credits, no subscription, valid 12 months). Failed requests are always free. [See full pricing](https://webscraping.ai/#pricing). ### A comparable price, with more capability Scrapingdog competes hard on price, and it's genuinely inexpensive — at higher volume its plans are very close to WebScraping.AI's. Both use the same credit multipliers (1 / 5 / 10 / 25) and bill only for successful requests. WebScraping.AI matches that model with a lower **$29 entry** (250k credits vs Scrapingdog's $40 for 200k) and adds more on top: AI Q&A and field extraction on any page, explicit stealth proxies, an MCP server, and 7 official SDKs. Both also sell prepaid pay-as-you-go credits with no subscription. Scrapingdog's terms are friendlier at the edges — a **$10** minimum top-up and credits that never expire, against a **$20** minimum and 12-month validity here (each new top-up extends your whole balance another 12 months). The per-credit price is where they diverge: **$0.0002** on WebScraping.AI versus **$0.0004** on Scrapingdog, on the same 1 / 5 / 10 / 25 ladder — so the same job costs half as much. ### Reliability on protected sites On the hardest, most-defended targets, success rate is what matters. WebScraping.AI offers an explicit **stealth proxy** tier (50 credits) built for sites behind Cloudflare and DataDome. That said, Scrapingdog's **dedicated Amazon and Zillow endpoints** are a genuine strength for those specific sites — if that's your workload, they're worth weighing. Both APIs return parsed Google results and LinkedIn data; WebScraping.AI's dedicated endpoints are `/serp` for Google and `/data` for social sites (e.g. YouTube, TikTok, X, LinkedIn, Instagram, Reddit). ## Switching is one API call Point your requests at WebScraping.AI — here's the equivalent call in your language. **cURL** ```bash curl -G "https://api.webscraping.ai/ai/fields" \ --data-urlencode "api_key=YOUR_API_KEY" \ --data-urlencode "url=https://example-store.com/product/widget" \ --data-urlencode "fields[title]=The product title" \ --data-urlencode "fields[price]=The current price as a number" \ --data-urlencode "fields[in_stock]=Whether the product is in stock (true/false)" # Response: # { "title": "Widget", "price": 19.99, "in_stock": true } ``` **Python** ```python # pip install webscraping_ai # https://pypi.org/project/webscraping-ai/ from webscraping_ai import Client client = Client(api_key="YOUR_API_KEY") result = client.fields( "https://example-store.com/product/widget", fields={ "title": "The product title", "price": "The current price as a number", "in_stock": "Whether the product is in stock (true/false)", }, ) print(result) # Response: # { "title": "Widget", "price": 19.99, "in_stock": true } ``` **JavaScript** ```javascript // npm install webscraping-ai // https://www.npmjs.com/package/webscraping-ai import { WebScrapingAI } from 'webscraping-ai'; const client = new WebScrapingAI({ apiKey: 'YOUR_API_KEY' }); const result = await client.fields({ url: 'https://example-store.com/product/widget', fields: { title: 'The product title', price: 'The current price as a number', in_stock: 'Whether the product is in stock (true/false)', }, }); console.log(result); // Response: // { "title": "Widget", "price": 19.99, "in_stock": true } ``` **PHP** ```php fields('https://example-store.com/product/widget', [ 'title' => 'The product title', 'price' => 'The current price as a number', 'in_stock' => 'Whether the product is in stock (true/false)', ]); print_r($result); // Response: // { "title": "Widget", "price": 19.99, "in_stock": true } ``` **Ruby** ```ruby # gem install webscraping_ai # https://rubygems.org/gems/webscraping_ai require 'webscraping_ai' client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY') result = client.fields( 'https://example-store.com/product/widget', fields: { title: 'The product title', price: 'The current price as a number', in_stock: 'Whether the product is in stock (true/false)', } ) puts result.inspect # Response: # { "title": "Widget", "price": 19.99, "in_stock": true } ``` **Go** ```go // go get github.com/webscraping-ai/webscraping-ai-go/v4 // https://pkg.go.dev/github.com/webscraping-ai/webscraping-ai-go/v4 package main import ( "context" "fmt" webscrapingai "github.com/webscraping-ai/webscraping-ai-go/v4" ) func main() { client, _ := webscrapingai.NewClient(&webscrapingai.Config{APIKey: "YOUR_API_KEY"}) result, _ := client.Fields(context.Background(), &webscrapingai.FieldsOptions{ URL: "https://example-store.com/product/widget", Fields: map[string]string{ "title": "The product title", "price": "The current price as a number", "in_stock": "Whether the product is in stock (true/false)", }, }) fmt.Println(result.Result) } // Response: // { "title": "Widget", "price": 19.99, "in_stock": true } ``` **Java** ```java // Maven: ai.webscraping:webscraping-ai:4.2.0 // https://central.sonatype.com/artifact/ai.webscraping/webscraping-ai import ai.webscraping.Client; import ai.webscraping.Config; import ai.webscraping.option.FieldsOptions; import ai.webscraping.result.FieldsResult; Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build()); FieldsResult result = client.fields(FieldsOptions.builder() .url("https://example-store.com/product/widget") .addField("title", "The product title") .addField("price", "The current price as a number") .addField("in_stock", "Whether the product is in stock (true/false)") .build()); System.out.println(result.getResult()); // Response: // { "title": "Widget", "price": 19.99, "in_stock": true } ``` **C#** ```csharp // dotnet add package WebScrapingAI // https://www.nuget.org/packages/WebScrapingAI using WebScrapingAI; var client = new WebScrapingAIClient(new WebScrapingAIClientOptions { ApiKey = "YOUR_API_KEY" }); var result = await client.FieldsAsync(new FieldsRequest { Url = "https://example-store.com/product/widget", Fields = new Dictionary { ["title"] = "The product title", ["price"] = "The current price as a number", ["in_stock"] = "Whether the product is in stock (true/false)", }, }); Console.WriteLine(result.Result); // Response: // { "title": "Widget", "price": 19.99, "in_stock": true } ``` ### Switch to WebScraping.AI if… You want **AI Q&A and field extraction on any page** , not just an AI parser. You want **7 official SDKs** plus an MCP server, CLI, and n8n node. You need **stealth proxies** for protected sites at a published cost. You want a **lower $29 entry price** with the same credit model. ### Stick with Scrapingdog if… You specifically need Scrapingdog's **dedicated Amazon or Zillow endpoints** — WebScraping.AI's dedicated endpoints cover Google search and social sites, not e-commerce or real estate. You want the **lowest possible price** at higher volume, or a smaller **$10** pay-as-you-go minimum with credits that never expire. A **Python-only** integration is all you need. ## Frequently asked questions Is WebScraping.AI a good Scrapingdog alternative? Yes. It uses the same low-cost credit model and success-only billing, with a lower $29 entry, and adds AI Q&A and field extraction on any page, stealth proxies, an MCP server, and 7 official SDKs. How does WebScraping.AI pricing compare to Scrapingdog? Both use the same multipliers (1 / 5 / 10 / 25). WebScraping.AI's entry plan is $29/mo for 250k credits versus Scrapingdog's $40/mo for 200k. At higher volume Scrapingdog's plans are very competitive, so compare at the tier you'll actually use. Does WebScraping.AI have pay-as-you-go credits like Scrapingdog? Yes, and neither requires a subscription. Both sell prepaid credits on the same 1 / 5 / 10 / 25 ladder, but WebScraping.AI's credits are half the price — $0.0002 each, so $20 buys 100,000 credits, versus Scrapingdog's $0.0004. Scrapingdog's terms are better in two ways: a lower $10 minimum top-up, and credits that never expire. WebScraping.AI's minimum is $20 and credits are valid for 12 months, with every new top-up extending your entire balance another 12 months. Does WebScraping.AI have dedicated endpoints for LinkedIn or Google? For Google, yes: /serp returns parsed Google search results as JSON (organic results, related searches, pagination) for a flat 15 credits per search, and failed searches aren't charged. For LinkedIn, yes: /data takes a LinkedIn profile, company or job URL and returns structured JSON for a flat 15 credits per page. For Amazon or Zillow, no — /ai/fields extracts structured data from any page via a natural-language description instead; if you need pre-parsed Amazon or Zillow JSON specifically, Scrapingdog's dedicated endpoints are purpose-built. Is WebScraping.AI more reliable on protected sites? WebScraping.AI offers an explicit stealth proxy tier (50 credits) for sites behind Cloudflare and DataDome. Independent reviewers note that success on the hardest anti-bot sites can be inconsistent across providers, and results vary by target and test date — so benchmark against your own targets. How many SDKs does WebScraping.AI offer? Seven official SDKs (Python, JS/TS, Ruby, PHP, Go, Java, C#), plus an MCP server, CLI, and n8n node. Scrapingdog ships a Python SDK with code examples for other languages. ## Compare other alternatives [Octoparse Alternative](https://webscraping.ai/octoparse-alternative): See how WebScraping.AI compares to Octoparse. [ParseHub Alternative](https://webscraping.ai/parsehub-alternative): See how WebScraping.AI compares to ParseHub. [Diffbot Alternative](https://webscraping.ai/diffbot-alternative): See how WebScraping.AI compares to Diffbot. [Browse AI Alternative](https://webscraping.ai/browse-ai-alternative): See how WebScraping.AI compares to Browse AI. [ScrapFly Alternative](https://webscraping.ai/scrapfly-alternative): See how WebScraping.AI compares to ScrapFly. [All comparisons](https://webscraping.ai/alternatives): Browse every WebScraping.AI alternative comparison. ## Try WebScraping.AI as your Scrapingdog alternative Get started with 2,000 free API credits. No credit card required. [Start Free Trial](https://webscraping.ai/auth/sign_up)[View API Documentation](https://webscraping.ai/docs)