Screener.in Scraper

Pull structured company fundamentals and stock-screen results from Screener.in at scale — current price, market cap, key ratios, and a full historical financial stack (quarterly results, profit & loss, balance sheet, cash flow, efficiency ratios, shareholding pattern, and peer comparison) for any NSE/BSE-listed Indian company. Built for equity analysts, quant researchers, and fintech builders who need a clean, machine-readable Indian-market fundamentals dataset without copy-pasting tables out of Screener.in one company at a time.

Why This Scraper?

• Seven financial sections per company — quarterly results, profit & loss, balance sheet, cash flow, efficiency ratios, shareholding pattern, and peer comparison, each toggleable so you pull only the sections you need.
• Deep history, not just a snapshot — roughly 13 quarters of results and about 12 years of annual P&L, balance sheet, cash flow, and ratios per company, ready for time-series analysis.
• Consolidated AND standalone financials — switch between group-wide and parent-only numbers, or mix both in one run by pointing at the matching company URLs.
• Key ratios parsed into clean numbers — P/E, ROCE, ROE, dividend yield, book value, face value, 52-week high/low, market cap, and current price, each delivered as both the raw label and a parsed numeric value.
• Shareholding over time — promoter, FII, DII, government, public, and "others" holding percentages across every reported period, perfect for tracking institutional moves.
• Peer comparison rows — the sector cohort Screener.in shows for each company, with CMP, P/E, market cap, dividend yield, and ROCE for every peer.
• Public screens, no login — paste any named Screener.in screen URL (e.g. /screens/343087/fii-buying/) and get every matching company with that screen's metric columns, paged across all result pages.
• Indian number formatting handled for you — 4,52,320 lakh-style commas, ₹/Cr/% decoration, and parenthesised negatives are normalised into plain floats you can compute on directly.
• Batch symbols and URLs together — feed plain tickers (INFY, TCS), full company URLs, and screen URLs in a single run; the scraper auto-detects each one.

Use Cases

Equity Research & Valuation

• Build a one-row-per-company fundamentals snapshot across a watchlist
• Pull 12 years of P&L and balance sheet history for DCF and ratio models
• Compare consolidated vs standalone numbers for holding-company analysis

Quant & Backtesting Datasets

• Assemble structured fundamentals panels for factor research
• Extract quarterly results time series for earnings-momentum signals
• Track ROCE, ROE, and debtor/inventory days trends across years

Fintech & Portfolio Apps

• Power a stock-detail screen with prices, ratios, and shareholding
• Refresh portfolio holdings with current price and market cap
• Surface peer comparison tables inside your own product

Financial Journalism & Newsletters

• Source numbers for company deep-dives and earnings write-ups
• Track promoter and FII/DII shareholding shifts quarter over quarter
• Pull a public screen of movers to seed a market roundup

Competitive & Peer Analysis

• Benchmark a company against its Screener.in sector cohort
• Rank companies in a named screen by any metric column
• Map institutional ownership across a basket of stocks

Getting Started

Single Company

The simplest run — one symbol, the full fundamentals record:

{
    "companies": ["INFY"]
}

Standalone Financials, Fewer Sections

Pull parent-only numbers and just the sections you care about for a leaner, faster result:

{
    "companies": ["TCS", "RELIANCE"],
    "financialsType": "standalone",
    "includeSections": ["quarterlyResults", "profitLoss", "peers"]
}

A Public Screen, Capped

Run a named public screen and cap how many matching companies you pull:

{
    "screenUrls": ["https://www.screener.in/screens/343087/fii-buying/"],
    "maxResults": 50
}

Companies and a Screen Together

Mix individual companies and a screen in one run — each company yields a full record, each screen match yields a row:

{
    "companies": ["INFY", "https://www.screener.in/company/HDFCBANK/consolidated/"],
    "screenUrls": ["https://www.screener.in/screens/343087/fii-buying/"],
    "financialsType": "consolidated",
    "includeSections": ["quarterlyResults", "profitLoss", "balanceSheet", "cashFlow", "ratios", "shareholding", "peers"],
    "maxResults": 100
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
companies	string[]	["INFY"]	Company symbols (e.g. INFY, RELIANCE, TCS) or full Screener.in company URLs. Each one returns a full company record with ratios and financials. Leave empty if you only want to run screens.
screenUrls	string[]	[]	Public screen URLs (e.g. https://www.screener.in/screens/343087/fii-buying/). Each returns the list of matching companies with the screen's columns. No account needed.

Company Options

These apply only to the companies list, not to screens.

Parameter	Type	Default	Description
financialsType	select	Consolidated (group-wide)	Whether to pull Consolidated (group-wide) or Standalone (parent only) financials. Ignored for any company URL that already specifies this in its path.
includeSections	multi-select	all selected	Which financial sections to include per company: Quarterly Results, Profit & Loss (annual), Balance Sheet, Cash Flow, Financial Ratios, Shareholding Pattern, Peer Comparison. Company overview and key ratios are always included. Select fewer for a leaner, faster result.

Screen Options

Parameter	Type	Default	Description
maxResults	integer	100	Maximum matching companies to return per screen. Set to 0 for all available pages. Does not limit the companies list. Start with 25–50 to test, then increase.

Output

Every row carries a recordType field — company or screenResult — so you can filter the two cleanly downstream. null fields are dropped before output, so a record only contains the sections you requested.

Company (recordType: "company")

{
    "recordType": "company",
    "symbol": "INFY",
    "name": "Infosys Ltd",
    "url": "https://www.screener.in/company/INFY/consolidated/",
    "financialsType": "consolidated",
    "about": "Infosys is a global leader in next-generation digital services and consulting...",
    "website": "https://www.infosys.com",
    "bseCode": "500209",
    "nseCode": "INFY",
    "currentPrice": 1115.0,
    "marketCapCr": 452222.0,
    "keyRatios": {
        "marketCap": { "raw": "₹ 4,52,222 Cr.", "value": 452222.0 },
        "currentPrice": { "raw": "₹ 1,115", "value": 1115.0 },
        "pe": { "raw": "24.1", "value": 24.1 },
        "bookValue": { "raw": "₹ 217", "value": 217.0 },
        "dividendYield": { "raw": "2.55 %", "value": 2.55 },
        "roce": { "raw": "37.0 %", "value": 37.0 },
        "roe": { "raw": "28.5 %", "value": 28.5 },
        "faceValue": { "raw": "₹ 5.00", "value": 5.0 },
        "highLow": { "raw": "₹ 1,991 / 1,307", "value": 1991.0 }
    },
    "quarterlyResults": [
        { "period": "2025-03-31", "sales": { "raw": "40,925", "value": 40925.0 }, "netProfit": { "raw": "7,033", "value": 7033.0 } }
    ],
    "profitLoss": [
        { "period": "2024-03-31", "sales": { "raw": "1,53,670", "value": 153670.0 }, "netProfit": { "raw": "26,233", "value": 26233.0 } }
    ],
    "shareholding": [
        { "period": "2025-03-31", "promoters": { "raw": "14.61", "value": 14.61 }, "fIIs": { "raw": "33.21", "value": 33.21 }, "dIIs": { "raw": "37.51", "value": 37.51 }, "public": { "raw": "14.67", "value": 14.67 } }
    ],
    "peers": [
        { "name": "TCS", "symbol": "TCS", "url": "https://www.screener.in/company/TCS/", "rank": 1, "metrics": { "currentPrice": { "raw": "3,450", "value": 3450.0, "label": "CMP Rs." } } }
    ],
    "scrapedAt": "2026-06-11T14:30:00+00:00"
}

Core Fields

Field	Type	Description
recordType	string	Always "company"
symbol	string	NSE/BSE symbol (e.g. INFY)
name	string	Company name (e.g. Infosys Ltd)
url	string	Source Screener.in company URL
financialsType	string	consolidated or standalone
about	string	Business description blurb
website	string	Company website link
bseCode	string	BSE security code
nseCode	string	NSE symbol
scrapedAt	string	ISO 8601 timestamp of extraction

Pricing & Key Ratios

Field	Type	Description
currentPrice	number	Current market price in ₹
marketCapCr	number	Market capitalisation in ₹ crore
keyRatios	object	Map of headline ratios — marketCap, currentPrice, pe, bookValue, dividendYield, roce, roe, faceValue, highLow and more. Each value is { raw, value }.

Financial Statements

Each is an array of one row per period (newest history included), present only when requested in includeSections.

Field	Type	Description
quarterlyResults	object[]	~13 quarters — period plus sales, expenses, operating profit, OPM%, profit before tax, net profit, EPS, etc.
profitLoss	object[]	~12 years of annual profit & loss
balanceSheet	object[]	~12 years — equity, reserves, borrowings, fixed assets, investments, other assets
cashFlow	object[]	~12 years — operating, investing, financing, and net cash flow
ratios	object[]	~12 years of efficiency ratios — debtor days, inventory days, payable days, cash conversion cycle, working capital days, ROCE%

Each metric inside a period row is a { raw, value } pair, so you get both Screener.in's formatted string and a parsed float.

Shareholding & Peers

Field	Type	Description
shareholding	object[]	Per-period holding split — promoters, FIIs, DIIs, government, public, others, and shareholder count
peers	object[]	Sector peer cohort — each peer has name, symbol, url, rank, and a metrics map (CMP, P/E, market cap, dividend yield, ROCE, etc.)

Screen Result (recordType: "screenResult")

One row per company matched by a screen. The metrics map mirrors that screen's own columns, so it varies from screen to screen.

{
    "recordType": "screenResult",
    "screenUrl": "https://www.screener.in/screens/343087/fii-buying/",
    "screenName": "FII Buying",
    "rank": 1,
    "name": "Premier Energies",
    "symbol": "PREMIERENE",
    "url": "https://www.screener.in/company/PREMIERENE/",
    "metrics": {
        "currentPrice": { "raw": "1,042", "value": 1042.0, "label": "CMP Rs." },
        "priceToEarning": { "raw": "58.3", "value": 58.3, "label": "P/E" },
        "marketCapitalization": { "raw": "47,012", "value": 47012.0, "label": "Mar Cap Rs.Cr." },
        "fiiHolding": { "raw": "8.41", "value": 8.41, "label": "FII holding %" }
    },
    "scrapedAt": "2026-06-11T14:30:00+00:00"
}

Field	Type	Description
recordType	string	Always "screenResult"
screenUrl	string	Source screen URL
screenName	string	Screen title (e.g. FII Buying)
rank	number	Row position within the screen
name	string	Company name
symbol	string	Company symbol / link slug
url	string	Company page URL on Screener.in
metrics	object	Map of the screen's displayed columns, keyed by metric — each value is { raw, value, label }
scrapedAt	string	ISO 8601 timestamp of extraction

Tips for Best Results

• Trim includeSections for speed. Company overview and key ratios are always included — if you only need quarterly results and peers, deselect the rest for a leaner, quicker record.
• Symbols are easier than URLs. Typing INFY or RELIANCE is more reliable than pasting a full company URL — the scraper builds the right consolidated or standalone link for you.
• A company URL overrides financialsType. If a URL already ends in /consolidated/ or /standalone/, that wins for that company — so you can request a mix of both in a single run regardless of the global setting.
• Use named public screen URLs, not custom queries. Free-text screen queries (e.g. Market Capitalization > 50000) require a Screener.in login and aren't supported; paste a named public screen URL like /screens/343087/fii-buying/ instead. Unsupported screen inputs are skipped with a clear message rather than failing the run.
• Cap large screens with maxResults. A popular screen can run to hundreds of companies and every row is charged — start at 25–50 to confirm the columns you want, then raise it (or set 0 for everything).
• Mix companies and screens in one run. Pay for a single start and pull both your watchlist's full fundamentals and a screen of new candidates together.
• Both raw and value are there. Use value for math and charts; keep raw when you want to show Screener.in's exact formatting (₹, %, crore) in a UI.

Pricing

From $8.00 per 1,000 results — flat pay-per-result for fully structured Indian-market fundamentals, with no login or account ever required. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.96	$0.91	$0.85	$0.80
1,000	$9.60	$9.05	$8.50	$8.00
10,000	$96.00	$90.50	$85.00	$80.00
100,000	$960.00	$905.00	$850.00	$800.00

A "result" is any row in the output dataset — one company record or one screenResult row. Platform fees (compute, storage) are additional and depend on your Apify plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate financial research, investment analysis, and market intelligence using publicly available company information. Users are responsible for complying with applicable laws and Screener.in's terms of service, including making reasonable-rate requests. Data is provided for informational purposes only and is not investment advice. Do not use extracted data for spam, harassment, or any illegal purpose.