Textile Infomedia Email Scraper

Textile Infomedia Email Scraper - public Indian textile supplier emails from textileinfomedia.com

The Textile Infomedia Email Scraper collects publicly indexed contact emails that appear in Google search results for textileinfomedia.com. Textile Infomedia is an India-focused textile and apparel business directory, built so that fabric buyers, garment units and machinery vendors can find each other and trade.

That purpose is why this Actor works so well. A Textile Infomedia listing exists to attract enquiries, so sales, export and wholesale addresses sit in public view rather than behind a login.

The Textile Infomedia Email Scraper turns that public layer into a structured dataset. It builds Google site:textileinfomedia.com queries, reads the result pages through the Apify GOOGLE_SERP proxy, and extracts every email matching your domain filter.

The audience is the Indian textile supply chain and everyone selling into it: apparel brands sourcing mills and garment units, fabric agents, dyeing and finishing chemical suppliers, and textile machinery vendors.

A measured live result, stated plainly

A live Google run of the Textile Infomedia Email Scraper returned 10 result blocks, 9 rows with account identity, 9 resolvable profile URLs and 5 unique emails. Those are observed figures from a real run.

Nine handles out of ten blocks is the headline. Textile Infomedia exposes a clean company path, so the Textile Infomedia Email Scraper produced a usable username and profileUrl on almost every row it found.

That makes this the strongest identity resolution in the textile set, and a natural partner to Fibre2Fashion Email Scraper, which delivers high email volume but almost no handles.

Five unique emails from ten blocks on the default webmail filter is a normal ratio for an Indian supplier directory. Widening customDomains to include @rediffmail.com and @hotmail.com is the single most valuable change you can make.

Features of the Textile Infomedia Email Scraper

Every feature listed below is genuinely implemented. Nothing here is aspirational.

Feature	What it means in practice
Google SERP parsing	Reads Google result pages through the Apify GOOGLE_SERP proxy. No browser, no JavaScript rendering
Structural block detection	Locates the <h3> title, then the smallest surrounding block. Does not depend on Google's CSS class names
Domain filter	Only emails ending in one of your customDomains values are kept
Query expansion	Base, quoted, intitle: and one variant per query modifier. Base queries run first
Global deduplication	An email seen once is never pushed twice, across every query and every page
Email normalisation	Understands name [at] domain [dot] com, name (at) domain, name @ domain.com, domain .com, zero-width characters and the full-width ＠ sign
Junk filter	Rejects placeholders such as email@, yourname@, test@, xxx@ and single-character locals
Boundary-correct matching	@gmail.com does not match inside @gmail.company or @gmail.com.br
Soft-wrap repair	Drops a hit that is only the tail of another email in the same block
Concurrency	An asyncio worker pool with a shared stop signal on maxEmails
Retries	Up to 3 attempts per page, exponential backoff, a fresh proxy session per request
Block detection	CAPTCHA, "unusual traffic" and consent pages are detected and retried, not counted as empty
Re-queueing	Blocked or failed queries are retried once at the end of the run
Resumable run	State is stored in the key-value store, keyed by a hash of the input, and saved on PERSIST_STATE, MIGRATING and ABORTING
Fallback parser	If Google's markup changes, the run degrades to "emails without account details" rather than "no emails"
Run summary	Logs pages fetched, blocked pages, retries and emails per page
Dataset output	Rows push immediately and export to CSV, JSON, Excel or XML from the Apify dataset

Email normalisation deserves special mention on this platform. Indian directory listings frequently obfuscate addresses as name [at] domain [dot] com to deter bots, and the Textile Infomedia Email Scraper reads those forms correctly instead of skipping them.

Query expansion matters too. Textile Infomedia splits its index into hundreds of narrow product categories, from saree and kurti to grey fabric and embroidery job work, and one broad query can only scratch it.

How the Textile Infomedia Email Scraper works

The pipeline is six steps and there is nothing hidden inside it.

1. It reads your input: keywords, location, email domains and limits.
2. It builds Google search queries with the site: operator against textileinfomedia.com, for example site:textileinfomedia.com fabric supplier "@gmail.com" "Surat".
3. It fetches Google result pages through the Apify GOOGLE_SERP proxy using aiohttp, asynchronously.
4. It parses each result block structurally, finding the <h3> title and the smallest block around it.
5. It extracts emails from that block's text with a domain-filtered regex.
6. It deduplicates globally and pushes each lead straight into the Apify dataset.

The Textile Infomedia Email Scraper does not log into Textile Infomedia, does not use any Textile Infomedia API, and does not open the site in a browser. Every field comes from publicly indexed Google search results - titles, snippets and site labels, with no authentication and no cookies.

Who the Textile Infomedia Email Scraper is built for

This is a textile sourcing and textile sales tool aimed at India's apparel clusters and the international buyers who work with them.

Apparel brands and buying houses use the Textile Infomedia Email Scraper to widen a mill and garment-unit shortlist before a sourcing season. Fabric agents use it to find converters, grey suppliers and processing houses with spare capacity.

Dyeing, finishing and textile chemical suppliers prospect in the other direction, reaching the processing units that consume dyes and auxiliaries. Textile machinery vendors do the same for spinning, weaving, knitting and embroidery units planning capex.

Export promotion bodies, textile trade-show organisers and sourcing consultancies use it to build cluster-level company lists. If you need European or North American industrial suppliers instead, DirectIndustry Email Scraper is a better fit.

Input fields for the Textile Infomedia Email Scraper

Field	Type	Default	Meaning
keywords	array (required)	["textile manufacturer", "fabric supplier"]	Search terms - niche, job title, industry
location	string	""	Optional location phrase added to every query
customDomains	array	["@gmail.com", "@yahoo.com"]	Only emails on these domains are kept; the @ is optional
maxEmails	integer 1-10000	20	Stop after this many unique emails
countryCode	string	""	Two-letter country for the search proxy (US, GB, DE...)
expandQueries	boolean	true	Search each keyword x domain pair in several phrasings
queryModifiers	array	["email", "contact", "export", "wholesale", "sales enquiries"]	Extra words combined with each keyword when expansion is on
maxPagesPerQuery	integer 1-50	30	Page cap per query
maxConcurrency	integer 1-20	5	Parallel queries

How the Textile Infomedia Email Scraper input fields actually behave

keywords is where the sourcing brief goes. The defaults textile manufacturer and fabric supplier are broad, and this Actor rewards replacing them with Indian trade vocabulary such as grey fabric, saree wholesaler, kurti manufacturer, embroidery job work or cotton yarn agent.

countryCode is a first-class lever here. Set IN and the search proxy runs from India, which noticeably changes which Textile Infomedia pages Google surfaces for the same keyword.

queryModifiers only fire when expandQueries is true. The defaults export, wholesale and sales enquiries steer queries towards the part of a listing where a trade contact route is printed.

customDomains decides your ceiling. Indian textile firms lean heavily on webmail, so keep the two defaults and add @rediffmail.com, @hotmail.com and @outlook.com to raise Textile Infomedia Email Scraper yield.

maxEmails is a hard stop shared across the worker pool, and maxConcurrency plus maxPagesPerQuery trade throughput against politeness. The defaults of 5 and 30 suit a single directory domain.

JSON input example for the Textile Infomedia Email Scraper

{
  "keywords": ["grey fabric manufacturer", "saree wholesaler", "cotton yarn supplier"],
  "location": "Surat",
  "customDomains": ["@gmail.com", "@yahoo.com", "@rediffmail.com", "@hotmail.com"],
  "maxEmails": 250,
  "countryCode": "IN",
  "expandQueries": true,
  "queryModifiers": ["email", "contact", "export", "wholesale", "sales enquiries"],
  "maxPagesPerQuery": 30,
  "maxConcurrency": 5
}

That is a realistic textile sourcing configuration for the Textile Infomedia Email Scraper: three specific Indian product terms, a cluster-level location, IN as the country code and a widened domain filter.

Textile Infomedia publishes in Indian English with Hindi and Gujarati trade words woven through its listings, so terms like dupatta, chikankari or lehenga are legitimate keywords rather than noise.

Output fields of the Textile Infomedia Email Scraper

Every dataset item carries all fourteen fields.

Field	Meaning
network	Platform name
keyword	The keyword that produced the lead
query	The exact Google query used
title	Raw result title
accountName	Account label Google prints
fullName	Display name parsed from a profile-style title; empty for non-profile results
username	URL-safe handle when the platform exposes one; otherwise null
profileUrl	Canonical account URL when a handle is known; otherwise empty
url	Direct platform link when exposed, else the profile URL
description	Bio or snippet text, cleaned of labels and counters
email	Lower-cased email address
emailDomain	The matched domain, for example @gmail.com
possiblyTruncated	true when Google's snippet ellipsis touched the email - verify before sending
foundAt	ISO 8601 UTC timestamp

On this platform username and profileUrl are populated on most rows, which is why the Textile Infomedia Email Scraper is the identity workhorse of the textile set. The canonical link is built as https://www.textileinfomedia.com/{username}.

Always check possiblyTruncated before you send. When it is true, Google's snippet ellipsis may have clipped the address and it should be confirmed on the source page.

JSON output example from the Textile Infomedia Email Scraper

[
  {
    "network": "Textile Infomedia",
    "keyword": "grey fabric manufacturer",
    "query": "site:textileinfomedia.com grey fabric manufacturer contact \"@gmail.com\" \"Surat\"",
    "title": "Shree Balaji Textiles - Grey Fabric Manufacturer, Surat - Textile Infomedia",
    "accountName": "Shree Balaji Textiles",
    "fullName": "Shree Balaji Textiles",
    "username": "shree-balaji-textiles",
    "profileUrl": "https://www.textileinfomedia.com/shree-balaji-textiles",
    "url": "https://www.textileinfomedia.com/shree-balaji-textiles",
    "description": "Grey and dyed fabric manufacturer in Surat. Wholesale and export enquiries for polyester, viscose and blended qualities.",
    "email": "sales.shreebalajitextiles@gmail.com",
    "emailDomain": "@gmail.com",
    "possiblyTruncated": false,
    "foundAt": "2026-08-29T10:04:11Z"
  },
  {
    "network": "Textile Infomedia",
    "keyword": "saree wholesaler",
    "query": "site:textileinfomedia.com saree wholesaler \"sales enquiries\" \"@rediffmail.com\"",
    "title": "Meera Sarees - Saree Wholesaler and Exporter, Surat - Textile Infomedia",
    "accountName": "Meera Sarees",
    "fullName": "Meera Sarees",
    "username": "meera-sarees",
    "profileUrl": "https://www.textileinfomedia.com/meera-sarees",
    "url": "https://www.textileinfomedia.com/meera-sarees",
    "description": "Saree wholesaler and exporter offering georgette, chiffon and banarasi ranges. Bulk enquiries handled by the export desk.",
    "email": "exports.meerasarees@rediffmail.com",
    "emailDomain": "@rediffmail.com",
    "possiblyTruncated": true,
    "foundAt": "2026-08-29T10:07:38Z"
  }
]

Both rows are the common case here. A complete company name, a working profile link and a trade email is the normal Textile Infomedia Email Scraper output shape.

Use cases for the Textile Infomedia Email Scraper

Audience	What they do with the data
Apparel brands and buying houses	Widen a mill and garment-unit shortlist before a sourcing season
Fabric agents and converters	Find grey suppliers and processing houses with spare capacity
Dyeing and finishing chemical suppliers	Prospect the processing units that consume dyes and auxiliaries
Textile machinery vendors	Reach spinning, weaving, knitting and embroidery units planning capex
Importers and trading companies	Build a cluster-level Indian supplier list for a product category
Textile trade-show organisers	Recruit exhibitors from named fabric and garment segments
Export promotion bodies	Map which categories publish trade contact routes and where
B2B marketing agencies	Assemble a textile prospect list for an account-based campaign

Each of these is outbound work aimed at a company inbox that a textile business published in order to receive enquiries. That is the honest boundary of what the Textile Infomedia Email Scraper does.

Targeting tips for the Textile Infomedia Email Scraper

Cluster geography is the strongest lever in Indian textiles, and location is how you use it.

Set location to a manufacturing cluster rather than a state. "Surat" for synthetics and sarees, "Tiruppur" for knitwear, "Ludhiana" for woollens and hosiery, "Panipat" for home textiles and "Erode" for wovens will each return a different Textile Infomedia Email Scraper result set.

Combine countryCode: "IN" with those clusters. Running the search proxy from India shifts Google's ranking towards regional listings that a US-based search never surfaces.

Use Indian trade vocabulary in keywords. Words such as dupatta, chikankari, lehenga, denim job work or viscose grey are how suppliers describe themselves on this directory.

Keep expandQueries on so modifiers reach the contact paragraphs. For adjacent Indian supply, run IndiaMART Email Scraper; for global textile trade coverage, run Alibaba Email Scraper.

Limitations of the Textile Infomedia Email Scraper

Read all of these before your first run.

• The Textile Infomedia Email Scraper only finds addresses that are publicly visible in Google's index. Anything Google has not indexed is invisible to it.
• Google caps a single query at roughly 300 results, which is exactly why query expansion exists and defaults to on.
• possiblyTruncated: true means Google's snippet ellipsis may have cut the email short. Verify it before sending.
• It requires the Apify GOOGLE_SERP proxy and cannot run without Apify proxy credentials.
• Free Apify plans are capped at 100 emails per run; paid plans are uncapped.
• username and profileUrl are only populated when Google exposes a handle. This platform usually does, but rows built from category or search pages can still arrive with username: null and an empty profileUrl. That is a Google limitation, not a bug.
• Coverage is India-weighted. If you need European or North American suppliers, use a different Actor in this family.
• Results vary with keywords, domains and location. No volume is guaranteed by the Textile Infomedia Email Scraper or by any Actor in this family.

Responsible use of Textile Infomedia Email Scraper output

The addresses the Textile Infomedia Email Scraper surfaces are business contacts that textile companies published on a trade directory so that buyers could send them enquiries. Treat them accordingly.

Even in a B2B context, a named individual's work address is personal data under GDPR when that person is in scope, and comparable rules apply in other jurisdictions. Record your lawful basis, identify yourself in the first line, and make the relevance obvious.

Honour opt-outs immediately and permanently, keep your list current, and follow the marketing rules of every market you contact. None of this is legal advice, and it does not replace your own compliance review.

FAQ about the Textile Infomedia Email Scraper

How many results should I expect from the Textile Infomedia Email Scraper?

A live Google run returned 10 result blocks, 9 identified accounts, 9 profile URLs and 5 unique emails on default settings. Handle resolution is excellent and email yield is moderate, so widening customDomains is the obvious first tuning step. Volume scales with how many keyword and domain combinations you supply, and no specific number is guaranteed.

Why does the Textile Infomedia Email Scraper resolve so many profile URLs?

Because Textile Infomedia publishes company listings under a clean root-level slug that Google prints in the result. The Actor derives username from that slug and builds profileUrl as https://www.textileinfomedia.com/{username}.

Does the Textile Infomedia Email Scraper log into Textile Infomedia or use its API?

No. It builds Google site:textileinfomedia.com queries, fetches result pages through the Apify GOOGLE_SERP proxy and parses them. There is no browser, no login, no API and no cookies.

Should I use Hindi or Gujarati keywords?

Use Indian English trade vocabulary first, since that is what the listings are written in. Transliterated garment words such as kurti, lehenga and dupatta are genuinely productive; full Devanagari script is not, because the site indexes in Latin script.

What is the fastest way to increase Textile Infomedia Email Scraper yield?

Widen customDomains with @rediffmail.com, @hotmail.com and @outlook.com, then set countryCode to IN and use a cluster name in location.

Can the Textile Infomedia Email Scraper find addresses on a company's own domain?

Only if the address appears in the Google result block and you list that domain in customDomains. The filter compares the end of each address, so every domain you want must be in the array.

Why does the Textile Infomedia Email Scraper turn expandQueries on by default?

Google caps one query at roughly 300 results. Expansion runs base, quoted and intitle: variants plus one per modifier, reaching category pages a single query cannot. Base queries always run first.

Can I run the Textile Infomedia Email Scraper on a free Apify plan?

Yes. Free plans are capped at 100 emails per run, and paid plans are uncapped.

What happens if a run is interrupted?

State is saved in the key-value store, keyed by a hash of your input, and written on Apify's PERSIST_STATE, MIGRATING and ABORTING events. Restarting with the same input resumes rather than starting over.

Which export formats are available?

Anything the Apify dataset supports - CSV, JSON, Excel and XML - plus the API for pushing rows straight into a CRM or sourcing system.

Which other Actor pairs best with the Textile Infomedia Email Scraper?

Fibre2Fashion Email Scraper for email volume, and IndiaMART Email Scraper for broader Indian B2B coverage beyond textiles.

Is the Textile Infomedia Email Scraper affiliated with Textile Infomedia?

No. It is an independent Actor that reads publicly indexed Google results and has no relationship with, or endorsement from, the platform.

Related Actors

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Fibre2Fashion Phone Number Scraper	Public phone numbers from Fibre2Fashion
Global Sources Phone Number Scraper	Public phone numbers from Global Sources
GlobalSpec Phone Number Scraper	Public phone numbers from GlobalSpec
HKTDC Sourcing Phone Number Scraper	Public phone numbers from HKTDC Sourcing
IndiaMART Phone Number Scraper	Public phone numbers from IndiaMART
IndustryStock Phone Number Scraper	Public phone numbers from IndustryStock
IQS Directory Phone Number Scraper	Public phone numbers from IQS Directory
Made-in-China Phone Number Scraper	Public phone numbers from Made-in-China

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