SYSTEM all green source meesho.com queue 19,442 pages p99 latency 161ms dataflirt.com · scraper/meesho-com
RUN · 74 active pipelines · meesho.com live

Meesho data,
at warehouse scale.

We extract product listings, pricing signals, supplier intelligence, reviews, and category rankings from Meesho. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.

Products extracted
1.1M /day
Price updates
4.8M /24h
Review records
380K /run
Active pipelines
74
Uptime
99.93%
Data Dictionary

Every field we extract from meesho.com

Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.

Complete list of extractable fields for Product Listings objects from meesho.com. All fields typed and schema-versioned.

product_idtitlesupplier_namecategorysub_categorypriceoriginal_pricecurrencydiscount_pctin_stockfree_deliveryreturn_window_daysratingreview_countorders_countdescriptionspecificationsmaterialimage_urlsvariation_countsku_idmin_order_qtyweightpage_url
product_listings
● 200 OK
"product_id": "62841905",
"title": "Women Floral Print Anarkali Kurta Set",
"supplier_name": "Ethnic Styles Co.",
"price": 349,
"currency": "INR",
"discount_pct": 65,
"free_delivery": true,
"rating": 4.2,
"review_count": 3841,
"orders_count": 28700,
"return_window_days": 7
# product_idtitlesupplier_namecategorysub_categoryprice
1
2
3

Complete list of extractable fields for Pricing & Discounts objects from meesho.com. All fields typed and schema-versioned.

product_idpriceoriginal_pricediscount_pctdiscount_absfree_delivery_eligiblecod_availableprice_drop_flagprice_drop_amountsuper_sale_pricesuper_sale_startsuper_sale_endprice_timestampcurrency
pricing_& discounts
● 200 OK
"product_id": "62841905",
"price": 349,
"original_price": 999,
"discount_pct": 65,
"free_delivery_eligible": true,
"cod_available": true,
"price_drop_flag": true,
"price_drop_amount": 50,
"price_timestamp": "2026-05-12T08:45:00Z"
# product_idpriceoriginal_pricediscount_pctdiscount_absfree_delivery_eligible
1
2
3

Complete list of extractable fields for Reviews & Ratings objects from meesho.com. All fields typed and schema-versioned.

review_idproduct_idreviewer_nameverified_purchasestar_ratingreview_bodyreview_datehelpful_votessize_reviewedcolour_reviewedimage_urlsfit_feedback
reviews_& ratings
● 200 OK
"review_id": "msh_rv_7723019",
"product_id": "62841905",
"star_rating": 4,
"verified_purchase": true,
"review_body": "Fabric quality is good, stitching is neat. Color exactly as shown.",
"size_reviewed": "L",
"fit_feedback": "true to size",
"review_date": "2026-04-27"
# review_idproduct_idreviewer_nameverified_purchasestar_ratingreview_body
1
2
3

Complete list of extractable fields for Supplier Intelligence objects from meesho.com. All fields typed and schema-versioned.

supplier_idsupplier_namesupplier_urlavg_ratingtotal_reviewstotal_productsresponse_ratedispatch_speedreturn_acceptance_rateactive_sinceprimary_categorieslocation_city
supplier_intelligence
● 200 OK
"supplier_id": "msh_sup_88821",
"supplier_name": "Ethnic Styles Co.",
"avg_rating": 4.3,
"total_reviews": 41200,
"total_products": 824,
"response_rate": 94,
"dispatch_speed": "within 2 days",
"primary_categories": "Women's Ethnic Wear"
# supplier_idsupplier_namesupplier_urlavg_ratingtotal_reviewstotal_products
1
2
3

Complete list of extractable fields for Search Results objects from meesho.com. All fields typed and schema-versioned.

keywordpositionproduct_idtitlepricediscount_pctratingorders_countfree_delivery_badgeprice_drop_badgethumbnail_urlscraped_at
search_results
● 200 OK
"keyword": "kurta set women",
"position": 3,
"product_id": "62841905",
"price": 349,
"discount_pct": 65,
"free_delivery_badge": true,
"price_drop_badge": true,
"scraped_at": "2026-05-12T08:45:22Z"
# keywordpositionproduct_idtitlepricediscount_pct
1
2
3

Capabilities

Everything you need from Meesho — nothing you don't

Our Meesho scraper covers every layer of India's fastest-growing social commerce platform: product listings, aggressive pricing signals, supplier intelligence, and the review corpus that drives tier-2/3 purchasing decisions.

Full Product Data Extraction

Title, material, description, images, size variants, order counts, return window, and every metadata field Meesho surfaces — scraped at product level with full variant mapping.

Deep Discount & Price Drop Tracking

Capture price, original MRP, discount percentage, price drop flags, Super Sale pricing, free delivery eligibility, and COD availability — timestamped per crawl.

Supplier Intelligence

Supplier rating, total review count, dispatch speed, return acceptance rate, primary categories, and location — for every supplier on the platform.

Review & Rating Mining

Full review text, star ratings, verified purchase flags, size and colour reviewed, fit feedback, and review images — paginated across all review pages.

SERP & Category Rank Tracking

Track organic position for any keyword or category across Meesho — with free-delivery and price-drop badge capture.

Fashion & Lifestyle Focus

Meesho's dominant categories — ethnic wear, western wear, home décor, and accessories — are fully covered with material, fabric, and fit-specific metadata extraction.

Tier-2/3 Market Signals

Meesho's user base skews heavily toward tier-2 and tier-3 India. Its pricing, order velocity, and category trends offer a unique demand signal unavailable from premium marketplaces.

Super Sale & Campaign Monitoring

Monitor Meesho Super Sale and other campaign price movements at the product level — with pre/during/post campaign snapshots for analysis.

Scheduled + Streaming Modes

Run one-off bulk exports or configure continuous pipelines at hourly, daily, or campaign-triggered cadences with change-detection diffing.

// engagement pipeline

From product list to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide product ID lists, category URLs, keyword sets, or supplier IDs. We design the extraction schema together.

Pipeline Build
d 2–4

We configure Scrapy / Playwright crawlers, proxy rotation, session management, and anti-bot handling for Meesho.

Validation & QA
d 4–6

Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.

Delivery
ongoing

JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.

Under the hood

How our Meesho pipeline handles the hard parts

Meesho's mobile-first, social-commerce architecture requires specialised handling. Here's how we stay resilient at scale.

pipeline-monitor · meesho.com · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Anti-bot layer
Indian residential proxies with mobile-emulation

Meesho's traffic is predominantly mobile. Our crawlers use Indian residential ISP proxies with mobile browser fingerprints, realistic touch-event patterns, and full cookie session management — matching the platform's expected traffic signature.

JavaScript rendering
Full Playwright execution for React Native web

Meesho's web interface is built on a mobile-first React stack. We run full Playwright sessions to capture price widgets, discount overlays, and lazy-loaded review content that HTTP clients miss entirely.

Schema stability
Resilient selectors with API intercept fallback

Meesho deploys frontend updates frequently. Our selector strategy uses CSS selectors, XPath, and REST API intercept as fallback layers — so a UI change doesn't break your data pipeline overnight.

Change detection
Only re-scrape what's changed

For large product catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost and storage bloat. You get a clean changelog rather than full re-dumps.

Monitoring & alerting
24/7 pipeline health with anomaly detection

Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops — and respond before you notice. SLA uptime is contractual, not aspirational.

Applications

Who uses Meesho data — and how

Teams across industries use meesho.com data to build competitive products and smarter operations.

01
Price Intelligence for Value Retail

Brands and suppliers monitor Meesho's aggressive pricing tier to benchmark value positioning, identify price floor erosion, and respond to Super Sale campaigns.

02
Supplier Benchmarking

Category managers audit supplier performance metrics — rating, dispatch speed, and return rates — to identify high-quality partners and monitor competitive supplier landscape.

03
Tier-2/3 Market Research

Consumer goods companies use Meesho's order velocity and category trends as a proxy for demand in tier-2 and tier-3 India — a signal unavailable from premium marketplaces.

04
Fashion Trend Intelligence

Apparel brands track best-selling styles, materials, colour preferences, and size distributions in ethnic wear, western wear, and home décor via order counts and review data.

05
AI Training Data

ML teams use Meesho datasets — including vernacular language reviews — to train recommendation engines, price sensitivity models, and fashion trend classifiers.

06
Investor & Analyst Due Diligence

Analysts track Meesho's category growth, supplier base expansion, and pricing pressure as indicators of platform health and India's value eCommerce trajectory.

Why DataFlirt

"Meesho unlocks a demand signal that no other Indian marketplace can offer — the purchasing behaviour of 150M+ buyers in tier-2 and tier-3 India."

Reliable Meesho scraping requires Indian mobile-emulated proxies, Playwright rendering for its React-based web stack, and supplier-level data joins that most DIY scrapers skip entirely. DataFlirt delivers a complete, schema-stable Meesho pipeline — from product listings to supplier intelligence — on your cadence.

Technical Spec

Meesho scraper — technical capabilities

Everything supported by our meesho.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

JavaScript rendering
Full Playwright sessions — required for discount overlays and React-rendered content
Supported
CAPTCHA bypass
Automated 2Captcha + CapSolver integration with fallback to manual queue
Supported
Residential proxy rotation
Indian residential ISP IPs with mobile fingerprints — rotated per request
Supported
REST API intercept
Intercepts Meesho's internal REST API calls for structured, reliable data extraction
Supported
Product variant mapping
Parent → child SKU relationships with size, colour, and material option matrix
Supported
Super Sale monitoring
Sale price, discount depth, and stock signals captured at elevated cadence during events
Supported
Review pagination
Full review corpus including all star-filter pages and media reviews
Supported
Supplier page scraping
All active listings per supplier, sorted by any criterion
Supported
Change detection (diffs)
Hash-based diff: only emit records with changed fields since last run
Supported
Webhook delivery
HTTP POST per record or batch for real-time downstream processing
Supported
Reseller panel data
Reseller margin pricing and private reseller catalogues require authenticated access
Partial
Infrastructure

Infrastructure powering the Meesho pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential Proxies (IN)DockerKubernetesGrafanaPrometheus
Scrapy + Playwright Stack

Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering with mobile device emulation. REST API intercept layer provides structured fallback for critical pricing fields.

Indian Residential Proxy Infrastructure

We maintain pools of Indian residential ISP proxies with mobile browser profiles. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.

Cloud-Native Orchestration

Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Newline-delimited or nested — schema versioned per run
CSV
Flat file with typed columns — Excel/Sheets compatible
Parquet
Columnar format for BigQuery, Snowflake, Athena
S3
Direct bucket delivery — compatible with any data lake
BigQuery
Streamed directly into your dataset with schema auto-detect
Webhook
HTTP POST per record for real-time downstream processing
Postgres
Upsert into your existing schema with conflict resolution
Snowflake
Stage + COPY INTO workflow — incremental or full-replace
// faq

Common questions.

About meesho.com scraping, legality, and pipeline operations.

Ask us directly →
Is scraping Meesho legal?

Scraping publicly available information from Meesho is generally permissible under applicable law in India — reinforced by precedents such as hiQ v. LinkedIn. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls. We recommend clients review Meesho's ToS independently and consult legal counsel for specific use cases.

What makes Meesho data different from Flipkart or Amazon data?

Meesho's user base skews heavily toward tier-2 and tier-3 India — making its pricing, order velocity, and category trends a unique proxy for demand in markets that premium marketplaces underrepresent. It also exposes supplier-level data (ratings, dispatch speed, return rates) that is not available in the same form on other platforms.

Can you track Super Sale and campaign pricing?

Yes. We run elevated-frequency crawls during Meesho Super Sale events to capture sale prices, discount depth, and stock signals at the product level — with pre/during/post campaign snapshots for analysis.

Do you support vernacular language review extraction?

Yes. Reviews are extracted as-is in Hindi, Tamil, Telugu, and other Indian languages alongside English. We do not translate by default, but can include a translated field via a post-processing step if required.

How fresh is the data?

Standard pipelines deliver daily refreshes. For price and availability monitoring on a defined product set, we offer sub-60-minute latency. Campaign windows can be monitored at 15-minute intervals on request.

Can I request a sample dataset before committing?

Yes. We provide a sample run of up to 500 products or 50 search result pages as part of pre-engagement scoping — so you can validate schema fit, field completeness, and data quality before signing any contract.

$ dataflirt scope --new-project --source=meesho.com ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off category catalogue dump or a continuous pricing feed tracking India's value commerce tier — we scope, build, and operate the pipeline. Tell us what you need.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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