ScraperAPI vs AnswerLine

Coverage

ScraperAPI's plans

As published on scraperapi.com/pricing (monthly billing), checked 2026-09-17. Enterprise is custom.

Price per request

ScraperAPI figures are its credits per request, in dollars on the Hobby plan and, in brackets, the Business plan. This API's dollar figure is its credits per request at the credit price of the lowest paid plan. Reference plan: Lite.

How requests, geo, billing and delivery work

Where ScraperAPI is stronger

• One plan covers any URL plus structured endpoints for Amazon, eBay, Walmart, Redfin and Google Jobs, Shopping and Maps.
• DataPipeline runs recurring jobs of up to 100,000 inputs without code and delivers to a webhook.
• Self-serve plans go up to 500 concurrent threads.

Choose this API when you also need Copilot, Grok and the AI Overview, country and US state on every assistant, and signed webhooks with idempotency keys. The guide below compares the two requests.

Which to pick

Pick ScraperAPI if you already use it to scrape e-commerce, real estate or arbitrary pages and its four AI endpoints give you enough: an answer as markdown and a source list. Its DataPipeline also schedules recurring jobs without code.

Pick this API if you need the Google AI Overview with its sources, Copilot and Grok, country plus US state on every assistant request, and signed webhooks with idempotency keys.

Normalised vs engine-specific schemas

ScraperAPI’s AI Results endpoints return one normalised shape for every engine: query, url, model, answer (markdown), sources[] with title, URL, domain and snippet, and related_queries[] (checked 2026-09-17, docs.scraperapi.com). That is simple to consume, and it is also a ceiling: anything outside those fields is only available in raw HTML with include_html.

This API returns one schema per engine. The shared core (text, markdown, sources) has the same names, and each engine’s schema adds its own fields, such as searchQueries and shoppingCards on ChatGPT and Copilot, or map on Copilot.

Migration: the same ChatGPT request

On ScraperAPI

curl "https://api.scraperapi.com/structured/chatgpt/search/v1?api_key=$SCRAPERAPI_KEY&query=best+CRM+for+real+estate+agents&sources=true"

Per its docs, sources=true makes citations a condition of a successful response and raises the cost from 25 to 75 credits; without it, sources are often empty for ChatGPT.

On this API

curl -X POST https://api.answerline.dev/v1/monitor/chatgpt \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "best CRM for real estate agents",
    "country": "US",
    "state": "FL",
    "include": { "markdown": true }
  }'

Web search is forced by default on this API’s ChatGPT requests, and there is no separate flag or price for asking for sources. Set disableWebSearch: true only when you want to measure what ChatGPT answers without being pushed to search.

Field mapping

Google Search: adding the AI Overview

On ScraperAPI

curl "https://api.scraperapi.com/structured/google/search?api_key=$SCRAPERAPI_KEY&query=crm+for+realtors&country_code=us&tld=com"

The documented keys are search_information, shopping_items, organic_results, related_questions, related_searches and pagination.

On this API

import os, requests

r = requests.post(
    "https://api.answerline.dev/v1/monitor/google",
    headers={"Authorization": f"Bearer {os.environ['API_KEY']}"},
    json={
        "query": "crm for realtors",
        "country": "US",
        "location": "Miami,Florida,United States",
        "include": {"aioverview": {"markdown": True}},
    },
    timeout=330,
)
result = r.json()["result"]
for s in (result.get("aioverview") or {}).get("sources", []):
    print(s["position"], s["url"])

Beyond the AI Overview, the response adds ads, localResults, knowledgeGraph, peopleAreSaying and shoppingCards next to organicResults, peopleAlsoAsk and relatedSearches.

Async jobs and callbacks

ScraperAPI’s async structured endpoints take a JSON body with apiKey, the query and a callback of type webhook; the reply includes a statusUrl, and its docs say a webhook is tried three times before the job is cancelled.

This API’s equivalent:

import { Client } from "@answerline/sdk";

const client = new Client({ apiKey: process.env.API_KEY!, baseUrl: "https://api.answerline.dev" });

const prompts = ["best CRM for real estate agents", "Follow Up Boss vs kvCORE"];
const batch = await client.createBatch(
  prompts.flatMap((prompt, i) =>
    (["CHATGPT", "COPILOT", "GROK"] as const).map((taskType) => ({
      taskType,
      payload: { prompt, country: "US", state: "FL" },
      idempotencyKey: `crm-${i}-${taskType}-US-FL-2026-09-17`,
      webhook: { url: "https://your-app.com/hooks/answers" },
    })),
  ),
);
console.log(batch.summary);

Differences to plan for:

• Delivery retries. Here a delivery is retried up to 10 attempts with exponential backoff, and owners can redeliver a dead delivery from the dashboard after fixing an endpoint.
• Signatures. Every delivery is signed with your account’s secret. Reject unsigned or stale deliveries.
• Keys. The idempotency key makes resubmission safe; ScraperAPI’s async body has no equivalent documented.
• Queue visibility. GET /v1/async/status shows queued and running counts; DELETE /v1/async/queue clears tasks that haven’t started, and those are not charged.

Comparing cost

ScraperAPI’s credit value depends on the plan: the same 25-credit request costs roughly five times more per request on Hobby than on Business, as the table above shows. Its sources=true flag triples the ChatGPT cost. This API’s credits per request are 5 for a ChatGPT, Copilot or Grok task, 4 for Gemini, and 3 for a one-page Google Search with 2 more for the AI Overview; synchronous calls add 2. Credits per request are the same on every plan; the dollar value of a credit depends on the plan, as listed on pricing.

1. Decide whether you need citations on every ChatGPT answer. If yes, price ScraperAPI at 75 credits.
2. Check the geotargeting limit on the ScraperAPI plan you’d buy: Hobby and Startup are US and EU only.
3. Convert both to dollars per answer per engine, at the plan your total volume needs.
4. Price engines one side lacks separately instead of dropping them.

Running both side by side before cutting over

Start with a parallel run: the same prompts, markets and schedule on ScraperAPI and on this API for one or two weeks, stored in the same table with a provider column.

1. Choose prompts for engines both sides cover, and Google queries you track.
2. Decide once whether your ScraperAPI ChatGPT baseline uses sources=true; the answer changes both cost and what counts as success.
3. Submit the same prompts here as tasks with webhooks, keyed by prompt, engine, market and day, in the same markets your ScraperAPI plan allows.
4. Store both in one table with provider, engine, market, answer text, cited domains and status.

What to compare at the end of the run:

• Answers with sources: the share of answers with at least one source on each side, with the sources setting noted.
• AI Overview: for the Google queries, what this API returned in aioverview, since ScraperAPI’s SERP endpoint documents no equivalent.
• Cited domains overlap per prompt, compared with day-to-day variation on one provider.
• Cost per usable answer on the plan each side needs for your volume and markets.

Cut over one engine at a time and keep the parallel data: it is the only record of how the switch itself moved your numbers.

Handling errors after the switch

ScraperAPI charges for 200 and 404 responses, retries internally for up to 70 seconds, and does not charge a request that still fails, per its docs.

This API’s errors carry a stable code to branch on (authentication and errors):

Every response carries an X-Request-Id; send your own to tie a request to your logs, and quote it to support. The TypeScript SDK applies this retry policy for you.

Decision checklist

1. Citations and pills as fields? This API.
2. AI Overview from Google? Not documented on ScraperAPI’s SERP endpoint; returned here.
3. Copilot or Grok? Covered here; not found in ScraperAPI’s docs.
4. Markets beyond US and EU on an entry plan? This API takes any supported country on every plan.
5. Other scraping needs? Keep ScraperAPI for them.

Pitfalls

• Treating an empty sources as zero visibility. ScraperAPI’s own docs say sources are often empty without sources=true. Whichever API you use, store empty source lists together with the request settings, such as whether web search was disabled, so a zero can be interpreted later.
• Mixing related queries and search queries. ScraperAPI’s related_queries are follow-up suggestions; searchQueries here are searches the engine ran. They measure different things.
• Carrying API keys in URLs. Header auth here; rotate keys that were logged in query strings.
• Unbounded retries. Retry a synchronous call only when it never reached the server; a 500 or 502 from it is final. See authentication and errors.

Start with the quickstart or the Google Search engine page.

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