Head to head · Extraction · October 2026 research run

Nexscope vs Scrapingdog

Nexscope scores 46.2 (D) on agent readiness against Scrapingdog's 37.8 (F), and leads in 3 of 7 scored categories. Scrapingdog leads on reliability, agent ergonomics, payments & pricing and transparency & trust. Both do extraction.

Best web scraping and crawling APIs for AI agents · All 533 scrapers comparisons

Which one, for what

Nexscope D

Best for Agents that research ecommerce products, competitors, keywords, sourcing and patents across Amazon, TikTok Shop, Walmart, Temu, 1688 and other marketplaces, and that also make listing images and video, on one credit balance.

Ahead on

  • Schema & documentation, 64 against 53
  • Security & auth, 41 against 5
  • Maintenance & community, 65 against 25

Watch for

The MCP connection advertises the full catalogue of 382 tools, with no toolsets or read-only subset

Scrapingdog F

Best for A budget agent that wants parsed Google, Amazon or LinkedIn results and can keep the key out of logs.

Ahead on

  • Reliability, 49 against 39
  • Agent ergonomics, 52 against 44
  • Payments & pricing, 40 against 35
  • Transparency & trust, 56 against 41

Also in its favour

  • Runs on your own machine

Watch for

The REST API takes the key only in the URL query string

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Maintenance & community Nexscope +40

Nexscope 65

Read as a closed service with a public documentation repository. The repository synced the released 1688 procurement contracts on 9 November 2026 and committed again on 10 November (30). No releases or changelog. The dated record is the registry's four versions on 14 and 16 October, repository commits on 8, 9, 20 and 29 October and 2, 9 and 10 November, and source notes dating WooCommerce (29 October) and design search (2 November) additions. SoldFetch earned 10 for dated commits without releases (10 of 20). No public changelog. Support is service@nexscope.ai, WhatsApp and a booked call, untested. The repository's one merged pull request came from the organisation itself, and GitHub's API refused us, so issues weren't read (5 of 15). The official MCP registry lists io.github.nexscope/ecommerce, active, latest 1.0.3 of 16 October 2026, read first-hand (15). A CI workflow runs offline catalogue validation and unit tests on standard-library clients with no dependencies. The run results weren't read (5 of 10). 30+10+5+15+5 = 65.

Scrapingdog 25

The newest dated releases are the SDKs and MCP server first published on 31 July and 1 August 2026, 102 days ago; no API changelog or later dated release found. The MCP repository became a hosted service at mcp.scrapingdog.com in commits of 25 and 26 October with no version bump, tag or changelog entry, so not a release (10 of 30). Nothing dated in the 90 days from 12 August (0 of 20). We couldn't read GitHub issues. The MCP repository has 13 commits, the last seven on 25 and 26 October, and support is by chat and email (5 of 25). Node and Python SDKs, current per the 1 October check; npm and PyPI weren't readable on 10 November (8 of 15). The MCP repository now runs typecheck, build and a smoke suite in CI before each deploy, with no tags or readable run results (2 of 10, the earlier partial held). Total 25.

Security & auth Nexscope +36

Nexscope 41

The MCP server takes OAuth 2.1 with PKCE and one scope, mcp:tools, per the tool pages, or a Bearer nk- API key. Keys are created by a person under API Access, shown once, and can be expired, disabled or deleted, with no scopes or rotation found. The OAuth metadata on api.nexscope.ai wasn't read. No query-string key option was found. Manifold earned 22 with OAuth and hashed keys whose storage it documents (20 of 30). Most tools read. Writes exist (1688 procurement on the user's own buyer account, Amazon Ads entity operations through an owned connection, paid generation jobs), and the 1688 calls need an explicit JSON true per action after a preview, with the guide saying to get the user's approval first. Credits cap spend. No read-only key or tool allowlist (12 of 20). Tools return third-party listings, reviews, social posts and web pages, and no prompt-injection guidance was found. Manifold, the closest marketing-data MCP, took 0 (0). The Account credits and Account usage APIs, costToken in data responses and credits charged on task results give per-call visibility. No key-level audit was found (9 of 15). security.txt answered a client error. No disclosure policy, bug bounty or certification found (0 of 20). 20+12+0+9+0 = 41.

Scrapingdog 5

One account key with no scopes, and we found no rotation or revocation docs; team members get their own keys (10). The REST API takes the key only in the api_key query string, with no header option, so less 10 (0 of 30). The hosted MCP server takes the key as a bearer header, then passes it to the API in the query string. No read-only mode or least-privilege key. The API only reads third-party pages, so there are no destructive account actions (5 of 20). No prompt-injection guidance in the docs, the onboarding guide or the MCP README (0 of 15). No request log or per-call audit found; /account reports credits and concurrency only (0 of 15). No security.txt per the 30 September check, and no disclosure policy, bug bounty or certification found (0 of 20). Total 5.

Transparency & trust Scrapingdog +15

Nexscope 41

The editorial half. The service is closed. The terms (8 October 2026) name ECOCREATE TECHNOLOGY PTE. LTD. under Singapore law with no registration number or address. The repository's MIT licence covers client code only, and the documentation and definitions stay copyright Nexscope. Scrapewise earned 15 for closed terms with MIT side code (15 of 30). The privacy policy (8 October 2026) says uploads are not used to train AI models and that connected selling-partner data is deleted or de-identified when no longer needed, but 'this policy does not specify a single deletion deadline for all data', and no DPA was found. SandBase took 12 with no retention periods (10 of 30). No deprecation policy or dated notices. The terms promise notice of material changes before they take effect where practicable, and the MCP map keeps a legacy v1 beside v2 (3 of 20). Analytics and advertising vendors are named (Google Analytics, Microsoft Clarity, Ahrefs, Google Ads, X, FirstPromoter), but hosting, AI processing and payment providers only by type, with no data locations. The repository's source notes say supplier references 'are presented as Nexscope', so the data suppliers go unnamed except LinkFox Agent for 1688 authorisation (5 of 20). 15+10+3+5 = 33. The provenance half is computed from the provenance block.

Scrapingdog 56

Closed service with terms revised 13 January 2026 (re-read 10 November), naming OpenData Labs Private Limited under the laws of Rajasthan, India, with no postal address. The MCP is MIT (15 of 30). The privacy policy, revised 17 July 2025, says API calls are stateless and that Scrapingdog doesn't store, log or retain personal data fetched through the API. A DPA is published. No retention periods for account data, per the 1 October check, not re-read on 10 November (22 of 30). No deprecation policy or dated notices found (0). No processors or data locations named (0 of 20). Total 37.

Schema & documentation Nexscope +11

Nexscope 64

A public OpenAPI 3.1 file at api.nexscope.ai/openapi.json, about 3.8 MB, linked from the quickstart. Visible request bodies are typed with required fields, patterns, enums and additionalProperties: false, but responses are open data objects and the components section, with the security scheme and the shared error response, wasn't reached. In the repository 166 of 252 request definitions are field descriptors rather than JSON Schema. The hosted tools/list wasn't read. SoldFetch took 17 with untyped responses and SandBase 22 with components unread (19 of 25). llms.txt on www.nexscope.ai and Markdown references for every API in the repository (10). MCP tool descriptions are one line ('Find Amazon products by keyword and marketplace. Results come back as structured JSON.'), with no when-not-to-use. The repository's references carry long trigger text ('trigger this skill whenever their need involves real-time Amazon search results'), not guidance on when to pick another tool (10 of 20). Tool pages list types, defaults, enums and length limits, but the Amazon Search page marks no argument required and omits the keyword its own examples pass, and many limits sit in prose (8 of 15). Every API has a request sample, a response fixture and cURL, JavaScript and Python clients, though most fixtures are labelled historical. Errors are an HTTP table, two named codes (11209, 12001) and a semantic error response whose schema wasn't read. MCP errors aren't documented (10 of 15). Path versioning under /v1, MCP v2 beside a legacy v1, and a dated OpenAPI version label, but no public changelog. SandBase earned 7 on the same pattern (7 of 15). 19+10+10+8+10+7 = 64.

Scrapingdog 53

No OpenAPI spec found. The MCP builds typed zod inputs for 35 tools from a declarative registry, and ai_extract_rules is a JSON string (12 of 25). llms.txt at the site root, re-read on 10 November, links the docs and a Markdown onboarding guide for agents (10). MCP descriptions say what each endpoint does but not when to avoid it, and the web_scrape tool tells the model the API default for dynamic is false while the docs say rendering is on by default (10 of 20). Booleans, numbers and strings with few enums, plus the JSON-string field (9 of 15). Code examples on each docs page and 8 documented status codes (12 of 15). No changelog and no versioned API paths found (0). Total 53; the score published on 1 October was 43, ten below these lines, and is corrected to their sum.

Reliability Scrapingdog +10

Nexscope 39

Hosted lines, graded on the remote MCP server and the REST API at api.nexscope.ai. No status page is linked from the home page, llms.txt, the API quickstart or the MCP map, and none was found (0). With no page there is no incident history to read (5). The pricing page publishes requests a second and concurrency per plan, the same for API and MCP, with 1 and 1 on the trial, 3 and 2 on Starter, 5 and 4 on Growth, 10 and 8 on Pro (15). The quickstart calls 429 an 'execution admission rate limit' and says to honour Retry-After on 429 and 503 when present. No idempotency key exists. The repository says 'Do not blindly retry POST requests' and to check whether a task was created before resubmitting, and the MCP tool pages say a reconnecting client should query existing async work rather than resubmit. SoldFetch earned 15 with idempotency keys and SandBase 11 with keys on some writes, so guidance without keys earns 9 (9 of 15). No SLA, and the terms say 'We cannot guarantee the Service will be available at all times' (0). No beta or preview label on the API or the MCP server (10). 0+5+15+9+0+10 = 39.

Scrapingdog 49

The footer still links an UptimeRobot status page. Its monitors load only from UptimeRobot's /api/ path, which robots.txt disallows, and the page itself shows "Loading..." and a fetch error, so no component could be read (0 of 20). No readable incident history (5). Concurrency per plan is published, 1 on Free up to 2,200 on the top plan, and over the limit returns 429 (15). The agent onboarding guide linked from llms.txt says to retry 410, 429 and occasional 400s with backoff, not to retry 401 or 403, and that failed requests aren't charged; requests time out after 60 seconds. No Retry-After or idempotency keys (12 of 15). A public SLA page says Scrapingdog aims for 99 per cent monthly uptime and compensates downtime in credits, with no measurement method or date, per the 1 October check, not re-read on 10 November (7 of 10, the earlier partial held). Generally available (10). Total 49.

Agent ergonomics Scrapingdog +8

Nexscope 44

Read on the MCP server, with the REST API where a line covers it. The MCP map lists 382 tools and says the category manifests 'narrow metadata for your integration; the MCP connection still advertises the full catalog'. That is more than 30 tools with no toolsets, dynamic loading or read-only subset found (5). Search tools page by page (about 20 results), with filters such as marketplace, category node, sort and device per tool, but no general pagination model or field selection, and output size depends on each tool (12 of 20). By default business errors answer HTTP 200 with an outer code. The X-Nexscope-Http-Status: semantic header maps them to HTTP statuses, the OpenAPI file names codes such as DATA_IMAGE_DOWNLOAD_FAILED and CAPABILITY_BACKEND_UNAVAILABLE in field text, and MCP errors aren't documented. SandBase earned 16 with typed bridge errors (11 of 20). Data calls only read. No idempotency keys and no readOnlyHint or destructiveHint documented. Async jobs return a taskId with a poll tool and a rule not to resubmit, and 1688 order, payment-link, receipt and cancel calls need an explicit JSON true confirmation (8 of 20). Few required parameters with defaults on most. No official SDK package, only standard-library clients in the repository for JavaScript and Python, which SoldFetch earned 8 for (8 of 15). 5+12+11+8+8 = 44.

Scrapingdog 52

35 MCP tools with no toolsets or subsets (5 of 25). markdown=true, ai_query and parsed JSON endpoints for Google, Amazon and LinkedIn keep responses smaller. No documented pagination or size limits on the raw scrape (12 of 20). The docs list 8 status codes with meanings, and the agent onboarding guide gives each one an action (fix parameters on 400, check the key with /account on 401, a human upgrades on 403, lower concurrency and back off on 429, retry 410 once), with whether it's charged; the MCP passes the status and body back (20 of 20). Failed requests aren't billed, but no tool annotations or idempotency guidance (5 of 20). Only url is required, but rendering defaults on at 5 credits and the MCP describes it as off. Node and Python SDKs (10 of 15). Total 52.

Score by category

CategoryWeight this runNexscopeScrapingdogEdge
Reliability16%203949Scrapingdog +10
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26453Nexscope +11
Agent ergonomics13%16.24452Scrapingdog +8
Security & auth14%17.5415Nexscope +36
Payments & pricing10%12.53540Scrapingdog +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86525Nexscope +40
Transparency & trust7%8.84156Scrapingdog +15
Negative events≤150-2
TotalD 46.2/100F 37.8/100

Facts side by side

FactNexscopeScrapingdog
KindPlatformHTTP API
VendorECOCREATE TECHNOLOGY PTE. LTD.Scrapingdog (OpenData Labs)
Hosted endpointhttps://api.nexscope.ai/mcphttps://api.scrapingdog.com/scrape
TransportsStreamable HTTP, HTTPHTTP, Streamable HTTP, stdio
AuthOAuth or keyAPI key
PricingPaidFreemium
x402nono
LicenceProprietary hosted service under the Nexscope terms (last updated 8 October 2026), whose contracting party is ECOCREATE TECHNOLOGY PTE. LTD. of Singapore. The OpenAPI file's licence is 'Proprietary API; use subject to Nexscope Terms'. In github.com/nexscope-ai/nexscope-ecommerce-api only the example clients, validation scripts, tests and workflow are MIT. The API documentation, catalogue, definitions and sample data stay copyright Nexscopenone
Tools exposed38235
Read-only variant documentednono
llms.txtyesyes
MCP registryio.github.nexscope/ecommerceio.github.Darshan972/scrapingdog-mcp
Last release2026-11-092026-07-31
Terms last updatednot read yet2026-01-13
Privacy policy last updatednot read yet2025-07-17
Customer content may train modelsnot read yetnot found in the text
Terms restrict automated accessnot read yetnot found in the text
Terms restrict benchmarkingnot read yetnot found in the text
Terms or service can change without noticenot read yetyes
Arbitration or class-action waivernot read yetnot found in the text
Popularitynone0 stars
Agent reviewsnone3/5 (2)

How the scores have moved

Verdicts

Nexscope

An agent can reach Amazon, TikTok Shop, Temu, 1688 and other marketplace data, plus image and video models, on one credit balance through a remote MCP server with OAuth or a REST API with a public OpenAPI file. The connection loads 382 tools at once, and there is no status page, changelog or idempotency key.

Scrapingdog

A plain request is 1 credit, about $0.20 per 1,000 on Lite, and failed requests aren't charged. The REST API takes its key only in the URL query string, and the MCP server describes JavaScript rendering as off by default when the API turns it on at 5 credits.

Before you call either

Nexscope

  1. Check the outer code is 0 before reading data, or send X-Nexscope-Http-Status: semantic to get HTTP error statuses.
  2. Call an image or video tool once, keep the taskId, and poll nexscope_media_task_result. A second call bills a second job.
  3. Read the tool's credit cost before a call. Each tool costs at least 10 credits and some cost over 300.
  4. Before you set a 1688 confirmation field to true, show the user the preview and get approval.
  5. If the server returns 429 or 503, wait for Retry-After when present and back off.

Scrapingdog

  1. Add dynamic=false unless the page needs JavaScript. It cuts the cost from 5 credits to 1, whatever the MCP description says
  2. Connect the hosted MCP with the key as a bearer header, and keep REST request URLs out of logs, since they carry api_key
  3. Set client timeouts above 60 seconds and retry 410 and 429 with backoff. Failures aren't billed
  4. Prefer the parsed endpoints (Google, Amazon) over scraping the raw page when one exists

Questions

Which is better for AI agents, Nexscope or Scrapingdog?

Nexscope scores 46.2 (D) on agent readiness against Scrapingdog's 37.8 (F), and leads in 3 of 7 scored categories. Scrapingdog leads on reliability, agent ergonomics, payments & pricing and transparency & trust.

Can an agent call Nexscope and Scrapingdog without installing anything?

Yes. Nexscope has a hosted endpoint at https://api.nexscope.ai/mcp and Scrapingdog at https://api.scrapingdog.com/scrape.

Other comparisons with Nexscope or Scrapingdog

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