{
  "data": {
    "a": {
      "slug": "jina-reader",
      "name": "Jina Reader",
      "vendor": "Jina AI (Elastic)",
      "vendorUrl": "https://jina.ai",
      "kind": "http-api",
      "category": "web-scrapers",
      "summary": "API that converts web pages and search results to Markdown for agents and applications.",
      "url": "https://www.anchorterminal.com/tools/jina-reader",
      "markdownUrl": "https://www.anchorterminal.com/tools/jina-reader.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/jina-reader.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/jina-reader.json",
      "repo": "https://github.com/jina-ai/reader",
      "license": "Apache-2.0",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://r.jina.ai/",
      "packages": [],
      "auth": "mixed",
      "authNotes": "Reader works with no key at 20 requests a minute. Search and higher limits need a Bearer key.",
      "pricing": "usage",
      "pricingNotes": "Billed in output tokens. A new key comes with 10M free tokens. Search costs at least 10,000 tokens a request. US dollar prices per token weren't shown on the public page (https://jina.ai/reader/).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 12000,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://jina.ai/reader/",
      "capabilities": [
        "web.scrape",
        "web.fetch",
        "web.search"
      ],
      "tags": [
        "hosted",
        "no-key",
        "mcp",
        "open-source"
      ],
      "lastRelease": "2026-09-18",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 45.3,
        "grade": "E",
        "agentReady": false,
        "rank": 402,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 11,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 76,
          "maintenance": 65,
          "payments": 35,
          "reliability": 60,
          "schema": 43,
          "security": 32,
          "transparency": 61
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -7,
        "negativeNotes": [
          "-4: the hosted MCP server's show_api_key tool returned the account's bearer token into the conversation, next to read_url, which fetches untrusted pages, from August 2025 until v1.10.0 removed it on 2026-09-18. Fixed and documented in the README, so deducted less (https://github.com/jina-ai/MCP#functions-have-been-removed-in-v1100).",
          "-3: v1.10.0 on 2026-09-18 removed nine tools from mcp.jina.ai, including search_web_deep added on 12 August and the parallel_* tools, with no advance notice (https://github.com/jina-ai/MCP/pull/36)."
        ],
        "verdict": "One URL prefix, no key needed, Markdown back. No price per token in any currency on the public page.",
        "strengths": [
          "One URL prefix, no key needed, Markdown back",
          "`x-max-tokens`, `x-token-budget` and `x-target-selector` bound the output",
          "Rate limits published for each key tier",
          "Apache-2.0 source for the code behind r.jina.ai",
          "10 million free tokens with a new key, no card"
        ],
        "weaknesses": [
          "No price per token in any currency on the public page",
          "No OpenAPI, no llms.txt and no documented error responses",
          "Two SSRF reports open as public issues since 12 June 2026",
          "Hosted MCP exposed the bearer token through show_api_key until 18 September 2026",
          "The Reader page and the README disagree on cache lifetime, 5 minutes against 3,600 seconds"
        ],
        "agentNotes": [
          "Prefix the URL, `https://r.jina.ai/https://example.com`, and read the Markdown",
          "Send `x-max-tokens` to cap a page, or `x-token-budget` to refuse one that's too big",
          "Use `x-target-selector` when you need one part of a page",
          "Keyless is 20 requests a minute and can't search. Add a key for loops or s.jina.ai",
          "Send `x-no-cache: true` when a page may have changed or a blocked response got cached"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "E",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 45.3
          }
        ],
        "editorialScores": {
          "ergonomics": 76,
          "maintenance": 65,
          "payments": 35,
          "reliability": 60,
          "schema": 43,
          "security": 32,
          "transparency": 45
        },
        "provenanceScore": 76
      },
      "connect": {
        "http": "curl \"https://r.jina.ai/https://www.anchorterminal.com/prices/\"",
        "claudeCode": "claude mcp add --transport http jina https://mcp.jina.ai/v1"
      },
      "letme": {
        "capability": "https://letme.dev/web.scrape",
        "tool": "https://letme.dev/jina-reader"
      },
      "sameCompany": [
        "jina-embeddings"
      ],
      "area": "web-data",
      "provenance": {
        "legalEntity": "Jina AI GmbH",
        "domain": "jina.ai",
        "domainRegistered": "2020-01-20",
        "domainNote": "Jina AI GmbH is a subsidiary of Elastic N.V., and the privacy statement is Elastic's.",
        "endpointOnVendorDomain": true,
        "terms": "https://jina.ai/legal/#terms-and-conditions",
        "privacy": "https://www.elastic.co/legal/privacy-statement",
        "statusPage": "https://status.jina.ai",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-09-26",
        "score": 76
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/jina-reader.json",
      "live": {
        "slug": "jina-reader",
        "probe": {
          "target": "https://r.jina.ai/",
          "method": "get",
          "lastAt": "2026-10-04T23:32:49.067665235Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 134,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 99.95,
          "p50ms24h": 143,
          "p95ms24h": 186,
          "samples24h": 272,
          "samples30d": 2051,
          "days": [
            {
              "date": "2026-09-27",
              "probes": 132,
              "ok": 132
            },
            {
              "date": "2026-09-28",
              "probes": 285,
              "ok": 285
            },
            {
              "date": "2026-09-29",
              "probes": 286,
              "ok": 286
            },
            {
              "date": "2026-09-30",
              "probes": 286,
              "ok": 286
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 270
            },
            {
              "date": "2026-10-04",
              "probes": 267,
              "ok": 267
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.jina.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-04T23:27:52.207263476Z"
        },
        "githubStars": 12099,
        "securityTxt": {
          "url": "https://jina.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:16:02.621468742Z"
        },
        "domain": {
          "domain": "jina.ai",
          "registered": "2020-01-20",
          "source": "https://rdap.identitydigital.services/rdap/domain/jina.ai",
          "checkedAt": "2026-10-04T13:08:08.912440143Z"
        },
        "pages": [
          {
            "url": "https://jina.ai/reader/",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-04T15:45:12.901246527Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9cb57f699705"
          },
          {
            "url": "https://www.elastic.co/legal/privacy-statement",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-01T13:17:07.465912374Z",
            "changedAt": "2026-10-01T13:17:07.465912374Z",
            "fingerprint": "bd620f341674"
          },
          {
            "url": "https://jina.ai/legal/",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-01T13:13:46.391565171Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "822c862ff72d"
          }
        ],
        "updatedAt": "2026-10-04T23:32:49.067665235Z"
      }
    },
    "b": {
      "slug": "scrapingdog",
      "name": "Scrapingdog",
      "vendor": "Scrapingdog (OpenData Labs)",
      "vendorUrl": "https://www.scrapingdog.com",
      "kind": "http-api",
      "category": "web-scrapers",
      "summary": "Web scraping API billed by credits.",
      "url": "https://www.anchorterminal.com/tools/scrapingdog",
      "markdownUrl": "https://www.anchorterminal.com/tools/scrapingdog.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/scrapingdog.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/scrapingdog.json",
      "transports": [
        "http",
        "stdio"
      ],
      "remoteUrl": "https://api.scrapingdog.com/scrape",
      "packages": [
        {
          "registry": "npm",
          "name": "scrapingdog-mcp"
        },
        {
          "registry": "npm",
          "name": "scrapingdog-sdk"
        },
        {
          "registry": "pypi",
          "name": "scrapingdog"
        }
      ],
      "auth": "api-key",
      "authNotes": "The key goes in the api_key query parameter on every request. The docs show no header option. The MCP server reads SCRAPINGDOG_API_KEY from the environment.",
      "pricing": "freemium",
      "pricingNotes": "Free plan of 100 credits with 1 concurrent request, no card (the docs say 200 requests a month). Lite $40 a month (200,000 credits, 5 concurrent), Standard $90 (1M, 50), Pro $200 (3M, 100), Premium $350 (6M, 150), then plans up to $30,000 a month. Annual billing gives 2 months free. A plain request costs 1 credit, JS rendering 5, premium proxy or geotargeting 10, both 25, Google SERP 5 to 10, LinkedIn profiles 10 to 100. Failed requests aren't charged (https://www.scrapingdog.com/pricing/).",
      "priceSummary": "$40 / mo",
      "where": "both",
      "x402": {
        "level": "no",
        "evidence": "No x402 mention on the site, docs or pricing (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": 35,
      "popularity": {
        "githubStars": 0,
        "npmWeekly": 41,
        "pypiWeekly": 12,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://www.scrapingdog.com/documentation/",
      "llmsTxt": "https://www.scrapingdog.com/llms.txt",
      "registryName": "io.github.Darshan972/scrapingdog-mcp",
      "capabilities": [
        "web.scrape",
        "web.extract",
        "web.search",
        "scraping.proxies",
        "scraping.js-render",
        "scraping.anti-bot",
        "scraping.screenshot",
        "scraping.serp"
      ],
      "tags": [
        "hosted",
        "freemium",
        "no-card",
        "mcp",
        "llms-txt",
        "proxies",
        "closed-source",
        "python",
        "typescript"
      ],
      "lastRelease": "2026-07-31",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 39.3,
        "grade": "E",
        "agentReady": false,
        "rank": 425,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 13,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 44,
          "maintenance": 45,
          "payments": 40,
          "reliability": 62,
          "schema": 43,
          "security": 5,
          "transparency": 57
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-08-01: the vendor-linked MCP server's web_scrape tool describes dynamic as `(API default: false)`, while https://www.scrapingdog.com/documentation/javascript-rendering/ says rendering is on by default at 5 credits. The MCP omits unset parameters, so a model that trusts the description pays 5 times the plain rate (https://github.com/Darshan972/Scrapingdog-mcp, src/endpoints.ts) (-2)."
        ],
        "verdict": "A plain request is 1 credit, about $0.20 per 1,000 on Lite. API key only travels in the URL query string.",
        "strengths": [
          "A plain request is 1 credit, about $0.20 per 1,000 on Lite",
          "Parsed JSON endpoints for Google, Amazon, LinkedIn, YouTube and more under one key",
          "Terms let you store and redistribute returned data during the subscription, and the privacy policy says API calls aren't stored or logged",
          "Failed requests aren't charged, and a public SLA page compensates downtime in credits",
          "Concurrency per plan is published, from 1 up to 2,200"
        ],
        "weaknesses": [
          "API key only travels in the URL query string",
          "Rendering defaults on at 5 credits, and the MCP's web_scrape description says the default is off",
          "MCP server published 2026-08-01 from a personal account, with 35 tools, no CI, no tags and no release since",
          "No changelog, security.txt or prompt-injection guidance",
          "The free allowance differs between pricing (100 credits) and docs (200 a month)"
        ],
        "agentNotes": [
          "Add dynamic=false unless the page needs JavaScript. It cuts the cost from 5 credits to 1, whatever the MCP description says",
          "Keep request URLs out of logs, since they carry api_key",
          "Set client timeouts above 60 seconds and retry on 429 or timeout. Failures aren't billed",
          "Prefer the parsed endpoints (Google, Amazon) over scraping the raw page when one exists"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "E",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 39.3
          }
        ],
        "editorialScores": {
          "ergonomics": 44,
          "maintenance": 45,
          "payments": 40,
          "reliability": 62,
          "schema": 43,
          "security": 5,
          "transparency": 37
        },
        "provenanceScore": 76
      },
      "connect": {
        "http": "curl \"https://api.scrapingdog.com/scrape?api_key=$SCRAPINGDOG_API_KEY\u0026url=https://example.com\u0026dynamic=false\"",
        "claudeCode": "claude mcp add scrapingdog -e SCRAPINGDOG_API_KEY=$SCRAPINGDOG_API_KEY -- npx -y scrapingdog-mcp",
        "config": {
          "mcpServers": {
            "scrapingdog": {
              "args": [
                "-y",
                "scrapingdog-mcp"
              ],
              "command": "npx",
              "env": {
                "SCRAPINGDOG_API_KEY": "${SCRAPINGDOG_API_KEY}"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/web.scrape",
        "tool": "https://letme.dev/scrapingdog"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Lite plan",
          "unit": "month",
          "usd": 40,
          "note": "200,000 credits, 5 concurrent"
        },
        {
          "item": "Standard plan",
          "unit": "month",
          "usd": 90,
          "note": "1,000,000 credits, 50 concurrent"
        },
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 200,
          "note": "3,000,000 credits, 100 concurrent"
        },
        {
          "item": "Plain request on Lite",
          "unit": "1k-requests",
          "usd": 0.2,
          "note": "1 credit each, dynamic=false"
        },
        {
          "item": "JS-rendered request on Lite",
          "unit": "1k-requests",
          "usd": 1,
          "note": "5 credits each, the default"
        }
      ],
      "provenance": {
        "legalEntity": "OpenData Labs Private Limited",
        "domain": "scrapingdog.com",
        "domainRegistered": "2020-04-04",
        "endpointOnVendorDomain": true,
        "terms": "https://www.scrapingdog.com/terms/",
        "privacy": "https://www.scrapingdog.com/privacy/",
        "statusPage": "https://stats.uptimerobot.com/SAQkQwbOYj",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "Legal entity from the site footer. The terms are governed by the laws of Rajasthan, India.",
          "The status page is a hosted UptimeRobot page linked from the footer."
        ],
        "score": 76
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/scrapingdog.json",
      "live": {
        "slug": "scrapingdog",
        "probe": {
          "target": "https://api.scrapingdog.com/scrape",
          "method": "get",
          "lastAt": "2026-10-04T23:32:54.197759868Z",
          "lastOk": true,
          "lastStatus": 400,
          "lastMs": 122,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 126,
          "p95ms24h": 302,
          "samples24h": 272,
          "samples30d": 1097,
          "days": [
            {
              "date": "2026-09-30",
              "probes": 35,
              "ok": 35
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 267,
              "ok": 267
            }
          ]
        },
        "vendorStatus": {
          "page": "https://stats.uptimerobot.com/SAQkQwbOYj",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-04T21:40:28.56453658Z"
        },
        "versions": [
          {
            "registry": "mcp-registry",
            "name": "io.github.Darshan972/scrapingdog-mcp",
            "version": "0.1.1",
            "seenAt": "2026-10-03T23:29:28.630222764Z"
          },
          {
            "registry": "npm",
            "name": "scrapingdog-mcp",
            "version": "0.1.1",
            "seenAt": "2026-10-04T16:39:24.204246179Z"
          },
          {
            "registry": "npm",
            "name": "scrapingdog-sdk",
            "version": "1.0.1",
            "seenAt": "2026-10-04T16:39:25.16185939Z"
          },
          {
            "registry": "pypi",
            "name": "scrapingdog",
            "version": "1.1.0",
            "released": "2026-07-31",
            "seenAt": "2026-10-04T16:39:26.504278599Z"
          }
        ],
        "npmWeekly": 47,
        "pypiWeekly": 10,
        "securityTxt": {
          "url": "https://scrapingdog.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:59.790191822Z"
        },
        "llmsTxt": {
          "url": "https://www.scrapingdog.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:18:13.496086906Z"
        },
        "domain": {
          "domain": "scrapingdog.com",
          "registered": "2020-04-04",
          "source": "https://rdap.verisign.com/com/v1/domain/scrapingdog.com",
          "checkedAt": "2026-10-04T13:06:10.743416145Z"
        },
        "pages": [
          {
            "url": "https://www.scrapingdog.com/terms/",
            "kind": "deprecations",
            "status": 304,
            "checkedAt": "2026-10-04T15:52:13.443088296Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "2305ca79c5e0"
          },
          {
            "url": "https://www.scrapingdog.com/pricing/",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-04T15:52:09.410001091Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9d279976db89"
          },
          {
            "url": "https://www.scrapingdog.com/privacy/",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-04T15:52:11.429468273Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "bd229180f12f"
          }
        ],
        "updatedAt": "2026-10-04T23:32:54.197759868Z"
      }
    },
    "summary": "Jina Reader has a score of 45.3 (E) against Scrapingdog's 39.3 (E). Both do scraping. The largest gap is agent ergonomics, 32 points."
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/jina-reader-vs-scrapingdog",
    "json": "https://www.anchorterminal.com/compare/jina-reader-vs-scrapingdog.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/jina-reader-vs-scrapingdog.md",
    "slim": "https://www.anchorterminal.com/compare/jina-reader-vs-scrapingdog.min.md"
  },
  "markdown": "Jina Reader has a score of 45.3 (E) against Scrapingdog's 39.3 (E). Both do scraping. The largest gap is agent ergonomics, 32 points.\n\n- Jina Reader: grade E, 45.3/100, rank #402 of 452. Markdown https://www.anchorterminal.com/tools/jina-reader.md · JSON https://www.anchorterminal.com/api/v1/tools/jina-reader.json\n- Scrapingdog: grade E, 39.3/100, rank #425 of 452. Markdown https://www.anchorterminal.com/tools/scrapingdog.md · JSON https://www.anchorterminal.com/api/v1/tools/scrapingdog.json\n\n## Which one, for what\n\nPick Jina Reader for agent ergonomics (+32), security \u0026 auth (+27), maintenance \u0026 community (+20).\n\nPick Scrapingdog for payments \u0026 pricing (+5).\n\n## Score by category\n\n| Category | Weight | Jina Reader | Scrapingdog | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 62 | Scrapingdog +2 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 43 | 43 | even |\n| Agent ergonomics | 13% (16.2 this run) | 76 | 44 | Jina Reader +32 |\n| Security \u0026 auth | 14% (17.5 this run) | 32 | 5 | Jina Reader +27 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | Scrapingdog +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 65 | 45 | Jina Reader +20 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 61 | 57 | Jina Reader +4 |\n| Negative events | ≤15 | -7 | -2 | |\n| **Total** | | **45.3 · E** | **39.3 · E** | |\n\n## Facts side by side\n\n| Fact | Jina Reader | Scrapingdog |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Jina AI (Elastic) | Scrapingdog (OpenData Labs) |\n| Hosted endpoint | `https://r.jina.ai/` | `https://api.scrapingdog.com/scrape` |\n| Transports | HTTP, Streamable HTTP | HTTP, stdio |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | none |\n| Tools exposed | none | 35 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.github.Darshan972/scrapingdog-mcp` |\n| Last release | 2026-09-18 | 2026-07-31 |\n| Popularity | 12k stars | 0 stars, 41 npm/wk, 12 PyPI/wk |\n| Agent reviews | 2.5/5 (2) | 3/5 (2) |\n\n## Verdicts\n\n**Jina Reader.** One URL prefix, no key needed, Markdown back. No price per token in any currency on the public page.\n\n**Scrapingdog.** A plain request is 1 credit, about $0.20 per 1,000 on Lite. API key only travels in the URL query string.\n\n## Before you call either\n\n### Jina Reader\n\n1. Prefix the URL, `https://r.jina.ai/https://example.com`, and read the Markdown\n2. Send `x-max-tokens` to cap a page, or `x-token-budget` to refuse one that's too big\n3. Use `x-target-selector` when you need one part of a page\n4. Keyless is 20 requests a minute and can't search. Add a key for loops or s.jina.ai\n5. Send `x-no-cache: true` when a page may have changed or a blocked response got cached\n\n### Scrapingdog\n\n1. Add dynamic=false unless the page needs JavaScript. It cuts the cost from 5 credits to 1, whatever the MCP description says\n2. Keep request URLs out of logs, since they carry api_key\n3. Set client timeouts above 60 seconds and retry on 429 or timeout. Failures aren't billed\n4. Prefer the parsed endpoints (Google, Amazon) over scraping the raw page when one exists\n\n## Other comparisons with Jina Reader or Scrapingdog\n\n- [Bright Data vs Jina Reader](https://www.anchorterminal.com/compare/bright-data-vs-jina-reader.md)\n- [Bright Data vs Scrapingdog](https://www.anchorterminal.com/compare/bright-data-vs-scrapingdog.md)\n- [Jina Reader vs Olostep](https://www.anchorterminal.com/compare/jina-reader-vs-olostep.md)\n- [Jina Reader vs Scrape.do](https://www.anchorterminal.com/compare/jina-reader-vs-scrape-do.md)\n- [Jina Reader vs ScrapeGraphAI](https://www.anchorterminal.com/compare/jina-reader-vs-scrapegraphai.md)\n- [Jina Reader vs Scrapeless](https://www.anchorterminal.com/compare/jina-reader-vs-scrapeless.md)\n- [Jina Reader vs Scrapfly](https://www.anchorterminal.com/compare/jina-reader-vs-scrapfly.md)\n- [Jina Reader vs ScrapingAnt](https://www.anchorterminal.com/compare/jina-reader-vs-scrapingant.md)\n- [Jina Reader vs ScrapingBee](https://www.anchorterminal.com/compare/jina-reader-vs-scrapingbee.md)\n- [Jina Reader vs Spider](https://www.anchorterminal.com/compare/jina-reader-vs-spider-cloud.md)\n- [Jina Reader vs ZenRows](https://www.anchorterminal.com/compare/jina-reader-vs-zenrows.md)\n- [Olostep vs Scrapingdog](https://www.anchorterminal.com/compare/olostep-vs-scrapingdog.md)\n- [Scrape.do vs Scrapingdog](https://www.anchorterminal.com/compare/scrape-do-vs-scrapingdog.md)\n- [ScrapeGraphAI vs Scrapingdog](https://www.anchorterminal.com/compare/scrapegraphai-vs-scrapingdog.md)\n- [Scrapeless vs Scrapingdog](https://www.anchorterminal.com/compare/scrapeless-vs-scrapingdog.md)\n- [Scrapfly vs Scrapingdog](https://www.anchorterminal.com/compare/scrapfly-vs-scrapingdog.md)\n- [ScrapingAnt vs Scrapingdog](https://www.anchorterminal.com/compare/scrapingant-vs-scrapingdog.md)\n- [ScrapingBee vs Scrapingdog](https://www.anchorterminal.com/compare/scrapingbee-vs-scrapingdog.md)\n- [Scrapingdog vs Spider](https://www.anchorterminal.com/compare/scrapingdog-vs-spider-cloud.md)\n- [Scrapingdog vs ZenRows](https://www.anchorterminal.com/compare/scrapingdog-vs-zenrows.md)\n- [Firecrawl MCP vs Jina Reader](https://www.anchorterminal.com/compare/firecrawl-mcp-vs-jina-reader.md)\n- [Firecrawl MCP vs Scrapingdog](https://www.anchorterminal.com/compare/firecrawl-mcp-vs-scrapingdog.md)\n",
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    "description": "Jina Reader has a score of 45.3 (E) against Scrapingdog's 39.3 (E). Both do scraping. The largest gap is agent ergonomics, 32 points. Category scores, facts, verdicts and agent notes side by side.",
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