School database vs buying leads: which way to get school contacts?
Published 22 Aug 2026 · IndianSchoolsDatabase.com
Teams that sell to schools usually end up choosing between three options: buy a spreadsheet from a list vendor, scrape directories themselves, or subscribe to a searchable database. This page compares them on the things that decide whether a campaign works: cost per usable lead, freshness, duplicates, how well you can target, and whether you can stand behind how the data was obtained. We run the third option, so read the comparison with that in mind; the criteria themselves are the ones we would use in your position.
The three options side by side
| Criterion | List vendor spreadsheet | Scraping it yourself | Searchable database (ours) |
|---|---|---|---|
| Cost | Priced per lead or per list; varies widely by vendor (commonly ₹2 to ₹10 per lead) | Engineering time, proxies, and rework every time a site changes | ₹999 once for all 199,730 institutions (₹0.005 per institution); 100 free |
| Freshness | Snapshot at purchase; updates cost extra | As fresh as your last run | Updates included; every record shows its last update |
| Duplicates | Usually present across lists | You must build matching yourself | One record per institution, with source names and source count |
| Targeting | Fixed columns; slicing means buying another list | Whatever you scrape | Filter by state, district, city, board, type, contact availability, lead score; export any slice |
| Preview before paying | Rarely real rows | n/a | 100 full records free, same filters and export |
| Provenance | Usually undisclosed | Known to you, but often against a site's terms | Source names on every row; compiled from published institutional contact data |
When a list vendor is the right call
If you need a small, very specific set once (say, 200 international schools in one city) and a vendor can show you real rows before payment, a list can be the quickest route. Ask for the source of each row, the date it was last checked, and the duplicate rate; and budget for the share of rows that will bounce or ring out.
When scraping makes sense
Scraping suits teams with engineers to spare and a narrow, stable target. It falls down on the unglamorous parts: matching the same school listed under three names, keeping the pipeline alive when sites change, and the terms-of-use exposure of pulling data from directories at volume. It also produces a file, not a tool; someone still has to filter, dedupe and refresh it.
What a searchable database changes
The difference is less about the rows and more about the workflow. With 199,730 institutions in one place you can build a territory list in minutes, save it, re-export after each update, and start with the best covered records by sorting on lead quality score. 88,554 institutions have an email address, 186,481 a phone number and 118,486 a named principal or primary contact, and every record shows how many of the 21 sources agree.
The honest caveats apply to everyone, including us: published emails are not individually verified, board is recorded only where the source publishes it, and you remain responsible for how you contact people. The free preview exists so you can test all of this on 100 real records before spending anything; see where the data comes from and the data policy.
Try the database free
100 institutions with full contact details, every filter and export. ₹999 once for everything.
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