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September 23, 2026 · 11 min read

Coverfox Scraper: Extract 1,000 Insurance Plans for $5.00 (2026)

By Crawlerbros Engineering Team

Coverfox Scraper extracts publicly listed Indian insurance comparison plans across car, health, term life, and two-wheeler categories for $0.005 per result. It parses embedded page data to deliver structured records including insurer names, starting premiums, features, and claim settlement ratios. It does not calculate personalized real-time quotes based on individual user demographics, nor does it extract travel insurance plans. This tool is for insurance analysts, product researchers, and affiliate marketers building datasets on Indian insurance providers. It is not for consumers seeking an underwritten personal insurance quote.

What does a Coverfox Scraper - Indian Insurance Comparison Plans run cost?

Each result costs $0.005 on the free tier, which is $5.00 per 1,000 results. Starting a run is charged separately at $0.01 per GB of Actor memory.

Apify plan Per result Per 1,000 results
FREE $0.005 $5.00
BRONZE $0.00433 $4.33
SILVER $0.00367 $3.67
GOLD $0.003 $3.00
PLATINUM $0.003 $3.00
DIAMOND $0.003 $3.00

Pricing scales directly with output volume at $0.005 per result, making maxItems the single control driving your bill. Keeping maxItems set to 1 during setup lets you verify the dataset structure for half a cent before running wider extractions. A complete category run capped at the maximum limit of 100 items costs exactly $0.50.

How do you run Coverfox Scraper - Indian Insurance Comparison Plans from the API?

The schema marks 1 of its 2 controls as required: mode. Every value in the payload below comes from the published schema's own prefills, which means you can paste it, swap the token, and get a real result.

Call the synchronous endpoint to start a run and receive dataset items in one request:

curl -X POST "https://api.apify.com/v2/acts/crawlerbros~coverfox-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"carInsurance","maxItems":20}'

The same run from Python, using the official client:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")

run_input = {
  "mode": "carInsurance",
  "maxItems": 20
}

run = client.actor("crawlerbros~coverfox-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

And from Node.js:

import { ApifyClient } from 'apify-client'

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' })

const input = {
  "mode": "carInsurance",
  "maxItems": 20
}

const run = await client.actor('crawlerbros~coverfox-scraper').call(input)
const { items } = await client.dataset(run.defaultDatasetId).listItems()
console.log(items)

That endpoint blocks until the run completes. Fine while you are testing a handful of records, risky once a run takes minutes: a dropped connection loses the response even though the run itself finished. Switch to an asynchronous start with polling or a webhook before you schedule anything.

Which Coverfox Scraper - Indian Insurance Comparison Plans inputs matter, and which can you skip?

The mode selector determines which insurance category to fetch and is the only required control. Adjust maxItems, which defaults to 20 and caps at 100, to control total plan volume per execution. Leave maxItems at lower numbers during initial pipeline integration to keep costs minimal.

  • mode (string): Which insurance category to scrape from Coverfox. Default: "carInsurance".
  • maxItems (integer): Maximum number of insurance plans to return (1-100). Default: 20.

Fixed-choice controls: mode accepts carInsurance, healthInsurance, termInsurance, bikeInsurance.

Change a single control per run and diff the result against the last sample, sorting records into accepted, uncertain, and excluded. A control that increases volume without improving decision quality still bills at $0.005 per result.

What does Coverfox Scraper - Indian Insurance Comparison Plans return?

Output records contain structured insurance plan data including planName, insurer, claimSettlementRatio, starting premium strings, and features lists. They do not contain personalized user quotes, age-adjusted rates, or travel insurance records. Check coverageAmountLabel to confirm whether coverage Amount Covered, Sum Assured, or IDV is being measured.

The Actor does not publish a per-field output list, so treat the first run as the specification: collect a small sample and record which fields are present before anything downstream depends on them.

How do you build the workflow end to end?

Open Coverfox Scraper - Indian Insurance Comparison Plans and work through these in order. Each step ends with something to check, so a bad configuration surfaces on a small run rather than a scheduled one.

  1. Select mode according to your target insurance category, choosing carInsurance, healthInsurance, termInsurance, or bikeInsurance.
  2. Set maxItems to 1 for your first run to test the field structures at minimal cost.
  3. Execute the Actor and verify that recordType returns the exact string insurancePlan.
  4. Inspect the returned JSON output and check that insurer and claimSettlementRatio are populated with non-null values.
  5. Examine coverageAmountLabel to verify whether the returned category tracks Amount Covered, Sum Assured, or IDV.
  6. Verify that applyUrl points to a valid starting quote URL on Coverfox.
  7. Increase maxItems up to your target plan volume (maximum 100) once schema validation succeeds.

How do you apply it? Three worked playbooks

These are Coverfox Scraper - Indian Insurance Comparison Plans's own documented use cases, each worked through as an operating pattern rather than a description.

Use case 1: Insurance market research and

Outcome: Insurance market research and competitive intelligence in India

Configure: Set mode to "carInsurance" and maxItems to 100.

Working method: Start with a baseline run across car, health, term life, and bike insurance categories by altering mode for each run. Compare insurer names, tag designations, and feature lists across each returned dataset to map product positioning across the Indian market.

Deliverable: A structured dataset containing insurer listings, features lists, and recommendation tags mapped across four insurance categories.

Stop condition: Stop if the returned array contains fewer records than required for analysis or if features arrives as an empty list.

Use case 2: Premium price monitoring for car

Outcome: Premium price monitoring for car, health, and life insurance

Configure: Set mode to "carInsurance" and maxItems to 50.

Working method: Schedule periodic runs on a set recurring cron interval for the carInsurance mode. Save each run dataset with its scrapedAt timestamp and compare current premium strings against historical baseline values to track price movements over time.

Deliverable: A historical time-series database tracking starting premium adjustments across vehicle insurers.

Stop condition: Stop if scrapedAt timestamps fail to update or if premium values are missing across consecutive runs.

Use case 3: Lead generation and affiliate marketing

Outcome: Lead generation and affiliate marketing in the Indian insurance sector

Configure: Set mode to "healthInsurance" and maxItems to 50.

Working method: Run the scraper across target categories, then isolate records that include non-null applyUrl strings and claimSettlementRatio figures. Filter high claim-settlement insurers to route structured lead data directly to marketing channels.

Deliverable: A list of high-converting insurance plans paired with active applyUrl links and IRDAI claim settlement metrics.

Stop condition: Stop if applyUrl is blank or returns broken links that do not point to Coverfox quote pages.

What breaks, and how do you design around it?

  • Coverfox does not provide real-time personalized quotes without user input (age, vehicle details, etc.). The scraper extracts the publicly displayed comparison plans with base premiums.
  • Travel insurance (/travel-insurance/) does not embed plan data in the page HTML in a parseable format and is not supported.
  • Actual premium amounts shown are indicative starting prices for a base scenario.

Because Coverfox only lists static starting premiums on category pages, personalized underwriting requires direct submission through their portal. When parsing coverage details, rely on coverageAmountLabel to distinguish between health coverage amounts, term life sum assured, and vehicle IDV metrics. If you need travel insurance plans, note that travel insurance does not embed plan data in the page HTML in a parseable format.

When should you not use Coverfox Scraper - Indian Insurance Comparison Plans?

Do not use this Actor if you require personalized insurance quotes calculated for specific driver ages, medical histories, or vehicle registration details. Coverfox displays only static starting base premiums on its public category pages. If your workflow requires binding quotes or real-time underwriting calculations, integrate directly with official insurer APIs or aggregator partner webhooks that handle interactive user sessions. Additionally, if you require data for travel insurance plans, this Actor cannot extract those records because Coverfox does not embed travel plan data in the page HTML in a parseable format.

What should you check before trusting the output?

  • Verify that claimSettlementRatio is a number between 0 and 100 matching the percentage in claimSettlementRatioRaw.
  • Confirm that coverageAmountLabel correctly matches the mode selection, such as IDV for bikeInsurance or Sum Assured for termInsurance.
  • Check that premium contains a non-empty starting price string formatted with the currency indicator.
  • Ensure features is returned as a non-empty array of product attributes.
  • Halt execution if recordType does not evaluate to insurancePlan across returned items.

None of this proves a record is correct. It gives a scheduled Coverfox Scraper - Indian Insurance Comparison Plans run defined points where it should stop instead of quietly passing bad data downstream.

Frequently asked questions

How much does it cost to run Coverfox Scraper?

Extracting 1,000 insurance plan records costs $5.00 on the free tier, calculated at $0.005 per returned result. Subscription tiers reduce this unit cost down to $3.00 per 1,000 results on Gold, Platinum, and Diamond plans.

Do I need Indian proxy servers or local accounts to scrape Coverfox?

No. Coverfox.com allows international traffic on its public listing pages without IP geo-blocking or bot blocking. The Actor operates on standard infrastructure without needing residential proxies or user accounts.

Can I extract travel insurance plans using this Actor?

No. Travel insurance pages on Coverfox do not embed plan data in the page HTML in a parseable format. The Actor officially supports four modes: carInsurance, healthInsurance, termInsurance, and bikeInsurance.

Are the extracted premium prices exact quotes for specific users?

No. The premium values returned represent indicative starting prices publicly displayed by Coverfox for a standard reference scenario. Real-time personalized pricing varies based on vehicle type, driver age, and policy options.

Where does the claim settlement ratio data come from?

The claim settlement ratio is parsed directly from Coverfox plan listings, which publish official regulatory performance statistics sourced from IRDAI (Insurance Regulatory and Development Authority of India) annual reports.

Where to go next

Start with the Coverfox Scraper - Indian Insurance Comparison Plans Actor page for the current input schema, pricing tier, and run history.

If you are comparing approaches rather than committing to one Actor, these category pages list every option we publish:

Readers running Coverfox Scraper - Indian Insurance Comparison Plans commonly pair it with:

Related guides:

Resources

● Featured actors

Coverfox Scraper - Indian Insurance Comparison Plans

Scrape Coverfox.com for Indian insurance plans across car, health, term life, and two-wheeler categories. Extract insurer name, claim settlement ratio, premium pricing, coverage details, features, and apply links.

Run on Apify ↗