MakersRow Scraper (Maker's Row) | US Manufacturers, Production Capabilities and Reviews (2026)

From SilentFlow. Creators of Facebook Search Scraper and JD Products Scraper (#1 for “jd scraper” in Apify Store search), with 650,000+ combined lifetime runs.

Every US factory on Maker's Row in one spreadsheet: what it makes, what it says it can do at each production stage, the batch sizes it takes, its equipment, badges, ratings and reviews. 20 handbag manufacturers in 10 seconds, 60 embroidery shops in New York in 25 seconds.

Why choose this actor?

Opening 40 factory profiles one tab at a time to find out which ones make samples? Copying "what they make" lists into a sheet by hand, then losing track of who takes small runs? Sending a project brief to a factory that only does 300 pieces and up?

• Each production stage gets its own column, in the factory's own words. Pattern-making, sample-making, production, materials, tooling, ideation and drafting each have a column holding the manufacturer's own answer, next to its batch sizes, supplier types and equipment. On the prefilled run, 41 of the 48 data columns were filled on at least half of the 20 rows, and each manufacturer answered 4.7 production stages on average.
• The full profile, not a card. Every row carries the complete product list (16 categories per manufacturer on average on that run), the vetted, premium, preferred and claimed badges, the star breakdown, the reviews with their text and month, opening hours, logo, cover and work photos. 17 of the 20 handbag manufacturers of the prefilled run were vetted by Maker's Row.
• Paste what you already have. Type keywords with category, industry, state and city filters, paste any app.makersrow.com link (a search with its filters, a category, state or city page, a profile), or list manufacturer slugs, all in one run. Three slugs and a category link returned 9 manufacturers in 5 seconds, and the slug that no longer exists was named in the log.

Try your first manufacturer shortlist

Paste this input in the Input tab, or send it from the API, and run. You get the 20 most relevant handbag manufacturers on Maker's Row, Premium manufacturers first, each with its production stages, batch sizes, product categories, equipment, badges, rating and photos. Our test run on 24 October 2026 returned 20 manufacturers in 10 seconds.

{
  "searchQueries": ["handbags"],
  "maxItems": 20
}

The Apify Free plan is enough to run it: no credit card, no Maker's Row account, no API key.

Copy to your AI assistant

Paste this block into Claude, ChatGPT, Cursor or any coding assistant to give it the full picture of this actor:

You have access to the MakersRow Scraper on Apify: silentflow/makersrow-scraper
It reads Maker's Row (app.makersrow.com), the directory of about 11,650 US manufacturers and factories.
One row = one manufacturer profile. No field is required; an empty input reads the whole directory,
most relevant first.

Input:
- searchQueries (array of strings, prefilled ["handbags"]): keywords, one search each, e.g. ["private label", "cut and sew"].
  The filters below apply to every keyword. A Maker's Row link typed here is read as a link.
- startUrls (array of {url}): app.makersrow.com links. Directory searches (/manufacturers?q=denim&state=CA),
  category, industry, state or city pages (/manufacturers/category/handbags) are read page after page;
  profile links (/baikal-inc1) are read as one manufacturer.
- factorySlugs (array of strings): manufacturer slugs (baikal-inc1) or profile URLs.
- category (string, one of 66 slugs): e.g. "handbags", "t-shirts-sweatshirts", "leather-goods", "tables", "cosmetics".
- industry (string): "apparel", "packaging", "furniture" or "other".
- state (string): US state code ("CA") or name ("California").
- city (string): e.g. "Los Angeles".
- maxItems (integer, default 100, prefilled 20): most manufacturers per run, all inputs together.
- debugMode (boolean, default false).

Output per manufacturer (52 columns, flat, null when the profile has no value, dates RFC 3339 UTC):
- id (int, Maker's Row id), slug, url (permanent profile page), name
- tagline, description, industry, categories (array), tags (array, the profile's specialities)
- capabilities (array of stages), ideationDetails, draftingDetails, patternMakingDetails, materialsDetails,
  sampleMakingDetails, toolingDetails, productionDetails (strings: the factory's own answer per stage)
- productionBatchSizes (array, e.g. "Small Batch (under 300 pieces)"), materialSupplierTypes (array, e.g. "Mill", "Distributor")
- equipment (array), clientele (array: "Students", "Small Businesses", "Big Brands", "Beginners")
- foundedYear (int), teamSize (int, as the profile shows it)
- isVetted, isPremium (null when not found through a directory page), isPreferred, isClaimed, hasPayments,
  hasWebsite, hasPhone, hasVideo (booleans)
- rating (float, null without reviews), reviewsCount (int), ratingDistribution ({"1".."5": count}), followers (int)
- location, city, state, country, countryCode, businessHours (array of {day, open, close})
- logoUrl, coverImageUrl, imagesCount (int), galleryImages (array), galleryCaptions (array), videoUrl
- reviews (array of {author, title, text, rating, publishedAt})
- searchQuery, searchUrl, position (meta: the search that found the row and its rank), scrapedAt

Use apify-client for Python or JavaScript, or the Apify API, to run it and read the dataset.

How to scrape Maker's Row manufacturers

Find manufacturers for a product

One keyword, the 100 most relevant manufacturers. Maker's Row matches the keyword against names, descriptions, specialities and categories, so a product (hoodies), a material (leather) or a service (private label) all work.

{
  "searchQueries": ["private label"]
}

Shortlist one category in one state

No keyword: the filters alone browse the directory. Our run for T-Shirts / SweatShirts manufacturers in California returned 15 manufacturers in 7 seconds, all based in California and all listing T-Shirts / SweatShirts among the products they make.

{
  "category": "t-shirts-sweatshirts",
  "state": "California",
  "maxItems": 15
}

Combine keywords, filters and the manufacturers you already know

Two keywords narrowed to the apparel industry in New York City, plus two manufacturers you already work with. A manufacturer that several inputs find is delivered once.

{
  "searchQueries": ["embroidery", "screen printing"],
  "industry": "apparel",
  "state": "NY",
  "city": "New York",
  "factorySlugs": ["baikal-inc1", "lefty-productionco"],
  "maxItems": 80
}

Input parameters

Parameter	Type	Default	What it does
searchQueries	array of text	["handbags"] in the form	Keywords, one Maker's Row search each. Products, materials or services: handbags, leather, cut and sew, private label.
startUrls	array of URLs	empty	app.makersrow.com links: a directory search with its filters, a category, industry, state or city page, or a manufacturer profile.
factorySlugs	array of text	empty	Manufacturer slugs (baikal-inc1) or full profile URLs.
category	select	any	One of 66 product categories, from Accessories and Active Wear to Tables, Cosmetics and Shipping & Storage.
industry	select	any	Apparel & Accessories, Packaging, Furniture & Home Decor, or Other.
state	select or text	any	A US state: pick it, or type a code (CA) or a name (California).
city	text	empty	A city as Maker's Row spells it: Los Angeles, Brooklyn, New York.
maxItems	integer	100 (20 in the form)	Most manufacturers per run, all keywords, links and slugs together.
debugMode	boolean	false	Logs every page read, to troubleshoot a run.

No field is required. With nothing filled in, a run reads the whole Maker's Row directory, most relevant first, up to maxItems.

Formats accepted:

• Keywords: any text, one search per entry. A link typed among the keywords is read as a link.
• Links: https://app.makersrow.com/manufacturers?q=denim&state=CA, https://app.makersrow.com/manufacturers/category/handbags, https://app.makersrow.com/manufacturers/state/california, https://app.makersrow.com/manufacturers/city/brooklyn-ny, https://app.makersrow.com/baikal-inc1. The scheme is optional, and a page number in the link is ignored: the run starts at page 1 and goes on page after page.
• Slugs: the last part of a profile URL, in any case: baikal-inc1, Lefty-ProductionCo.
• State: CA, ca, California, california, new-york, District of Columbia.
• Category: the slug from the list (t-shirts-sweatshirts) or the label as the site writes it (T-Shirts / SweatShirts).

The filters (category, industry, state, city) apply to every keyword. Links and slugs are read as they are: put the filters you want inside the link.

What data can you extract from Maker's Row?

One row per manufacturer, 52 columns, always in the same order, so a CSV or Excel export keeps the same columns from one run to the next. A value the profile does not publish is null.

Group	Fields
Identity	id, slug, url, name
What they do	tagline, description, industry, categories, tags, equipment, clientele
Production stages	capabilities, ideationDetails, draftingDetails, patternMakingDetails, materialsDetails, sampleMakingDetails, toolingDetails, productionDetails
Batch sizes and sourcing	productionBatchSizes, materialSupplierTypes
Company and badges	foundedYear, teamSize, isVetted, isPremium, isPreferred, isClaimed, hasPayments, hasWebsite, hasPhone, hasVideo
Reputation	rating, reviewsCount, ratingDistribution, followers, reviews
Place and hours	location, city, state, country, countryCode, businessHours
Media	logoUrl, coverImageUrl, imagesCount, galleryImages, galleryCaptions, videoUrl
Run metadata	searchQuery, searchUrl, position, scrapedAt

How to read some of them:

• capabilities lists the production stages a manufacturer takes on. Each stage then has its own ...Details column with the manufacturer's own answer, for example "Yes, we have 5 full-time pattern and samplemakers on staff." A stage it does not take on is null.
• productionBatchSizes comes from the production stage: Small Batch (under 300 pieces), Large Batch (over 300 pieces), and for some manufacturers Small Batch (under 50 pieces). materialSupplierTypes comes from the materials stage: Mill, Distributor, Jobber, Agent / Representative, Broker, Converter.
• clientele says who the manufacturer takes on: Students, Small Businesses, Big Brands, Beginners. A brand on its first run filters on Beginners.
• isVetted means Maker's Row reviewed the business details and references. isPremium means the manufacturer subscribes to Maker's Row Premium, which is separate from vetting; it is known when the manufacturer was found through a directory page and null for a profile you asked for by slug. isClaimed means the manufacturer manages its own profile.
• hasWebsite and hasPhone say whether the manufacturer has a website and a phone number for the brands it works with. Maker's Row shares them, and the street address, only between a manufacturer and a brand once they are in touch: the row tells you which manufacturers have them, the url takes you to the profile to start a project.
• rating is the average star rating, null when nobody reviewed the manufacturer yet. ratingDistribution counts the reviews by stars. In each review, publishedAt is the first day of the month the site shows (July 2016 becomes 2016-07-01T00:00:00Z).
• teamSize is the number shown under "Team" on the profile.
• id is the Maker's Row number of the manufacturer and never changes; slug and url identify its page. Use id or slug to remove duplicates when you merge runs.
• logoUrl, coverImageUrl and galleryImages are permanent links: they keep working after the run. videoUrl is the YouTube link of the manufacturer's video.
• searchQuery, searchUrl and position say which search found the row and at which rank, null for a manufacturer asked for by slug or profile link.

Output example

A real row from the prefilled handbags run of 24 October 2026:

{
  "id": 176380,
  "slug": "cloth-paper-scissors",
  "url": "https://app.makersrow.com/cloth-paper-scissors",
  "name": "Cloth Paper Scissors",
  "tagline": "From Concept to Creation",
  "description": "Cloth Paper Scissors is a creative agency based in Southern California. Since 2005, we’ve worked extensively with womenswear, menswear, childrenswear and home decor. We offer a full package service to bring your concept to creation. We support brands with ideation, design, development, technical design and production.\n\nWe offer:\n\nIdeation\n-Consulting\n-Trend Analysis & Market Research\n\nDesign\n-Creative & Artistic Direction\n-Sketching\n-Branding\n-Forecasting\n-Textile Design\n\nDevelopment\n-Patternmaking\n-Sample Making\n-Costing\n-Sourcing\n-Label, trim & packaging\n\nTechnical Design\n-Tech Packs\n-Fittings\n-Construction Standards\n-Children's Safety Standards\n-Wash Tests\n\nProduction\n-Grading & Marking\n-Cutting\n-Screenprinting\n-Embroidery\n-Dyeing\n-Domestic Production (Minimum of 250 pieces per style, minimum of 50 pieces per color per style)",
  "industry": "Apparel & Accessories",
  "categories": ["Active Wear", "Children's Wear", "Coats / Jackets", "Consultant", "Dresses / Blouses", "Embroidery", "Fabrics", "Footwear", "Furniture / Home Goods", "Handbags", "Pants / Shorts / Skirts", "Printers", "Shirts / Tops", "Silkscreeners", "Sleepwear / Robes", "Sportswear", "Sweaters / Knitwear", "Swimwear / Dancewear", "T-Shirts / SweatShirts", "Textile Printers", "Trim Application", "Underwear / Lingerie", "Uniforms"],
  "tags": ["Wallets", "Handbags", "Shoes", "leather", "embroidery", "cutting", "production", "trim", "dyeing", "woven", "screenprinting", "packaging", "eco-friendly", "grading", "sourcing", "sampling", "label", "patterns", "marking", "development", "consulting", "womenswear", "Menswear", "Childrenswear", "Knit.", "merchandising", "handbag", "patternmaking", "Pillows", "Pattern-Making", "Tech Packs", "sample-making", "pillow", "bedding", "sustainable", "sustainability.", "sheets", "Small Leather Goods", "small runs", "branding", "technical design", "illustrator", "sketching", "Direct to Garment", "domestic", "Fittings", "home decor", "costing", "textile design", "Linesheets", "Lookbooks", "DTG", "overseas", "Photoshop", "Photography", "trend analysis", "styling", "forecasting", "ecommerce", "small-batch-factories", "market research", "HAND SKETCHES", "CONSTRUCTION STANDARDS", "CHILDREN'S SAFETY STANDARDS", "WASH TESTING", "WASH TESTS", "consultations"],
  "capabilities": ["Ideation", "Pattern-Making", "Sample-Making", "Production"],
  "ideationDetails": "Our team of experts have extensive backgrounds in womenswear, menswear, childrenswear and home decor to help guide you through the process of creating your product. We’ll customize a plan to fit your specific needs. Through trend analysis and market research, we’ll ensure your product aligns with your budget and target market.",
  "draftingDetails": null,
  "patternMakingDetails": "It all begins with an idea. We’ll help you put that idea to paper. With a solid branding strategy and thorough forecasting, your idea will be brought to life through sketches. Once your ideas have been put to paper, we'll get started on the patterns.",
  "materialsDetails": null,
  "sampleMakingDetails": "After we've sourced your materials and trends, we'll start working on your samples!",
  "toolingDetails": null,
  "productionDetails": "We can facilitate any screen printing, embroidery and dyeing needs. The coordination of ordering all production materials will be handled as well as quality standards and timelines being overseen whether the goods are produced overseas or domestically. All shipping logistics will be managed until the goods arrive on your doorstep.",
  "productionBatchSizes": ["Small Batch (under 300 pieces)", "Large Batch (over 300 pieces)"],
  "materialSupplierTypes": null,
  "equipment": ["screenprinting", "Coverstitch", "flatlock", "Gerber", "single needle", "buttonhole", "illustrator", "photoshop", "tukatech", "indesign"],
  "clientele": ["Small Businesses", "Big Brands", "Beginners"],
  "foundedYear": 2005,
  "teamSize": 1,
  "isVetted": true,
  "isPremium": false,
  "isPreferred": false,
  "isClaimed": true,
  "hasPayments": false,
  "hasWebsite": true,
  "hasPhone": true,
  "hasVideo": true,
  "rating": 5,
  "reviewsCount": 1,
  "ratingDistribution": {"1": 0, "2": 0, "3": 0, "4": 0, "5": 1},
  "followers": 67,
  "location": "Long Beach, CA, United States",
  "city": "Long Beach",
  "state": "CA",
  "country": "United States",
  "countryCode": "US",
  "businessHours": null,
  "logoUrl": "https://s3.amazonaws.com/images.makersrow/300_160_logo_176380704cfc24192b9f44d3d52f81dff94bef.jpg",
  "coverImageUrl": "https://s3.amazonaws.com/images.makersrow/1500_300_cover_image_176380e9117ffa23e6a624e6c5fe02f14cb0a6.jpg",
  "imagesCount": 5,
  "galleryImages": [
    "https://s3.amazonaws.com/images.makersrow/640_360_gallery_17638077b613ba6c5f2e225f114da2802ce94e.jpg",
    "https://s3.amazonaws.com/images.makersrow/640_360_gallery_176380d1f6d15cee3594ca89543dab0f59650b.jpg",
    "https://s3.amazonaws.com/images.makersrow/640_360_gallery_176380bc10263894059a07a649973038581870.jpg",
    "https://s3.amazonaws.com/images.makersrow/640_360_gallery_1763809016a9d5e38ec59a62961afc9918a6ca.jpg",
    "https://s3.amazonaws.com/images.makersrow/640_360_gallery_17638025b321dc4204aafdfd2df5160f7932ca.jpg"
  ],
  "galleryCaptions": null,
  "videoUrl": "https://www.youtube.com/watch?v=4rGIHHBf5iM",
  "reviews": [
    {
      "author": "Corinne C.",
      "title": "Sweet and Dedicated",
      "text": "Really kind lady who runs this and worked hard to complete a project for me in a timely manner. So much appreciate them willing to flex and make happen what I needed!\n\nA pleasure to work with.",
      "rating": 5,
      "publishedAt": "2020-09-01T00:00:00Z"
    }
  ],
  "searchQuery": "handbags",
  "searchUrl": "https://app.makersrow.com/manufacturers?q=handbags",
  "position": 16,
  "scrapedAt": "2026-10-24T12:35:17Z"
}

Advanced usage

Build a list of factories that take a first small run

Keywords for what you make, apparel only. In the dataset, keep the rows whose clientele contains Beginners and whose productionBatchSizes contains a small batch: those manufacturers say they work with first-time brands on short runs.

{
  "searchQueries": ["activewear", "leggings", "sports bra"],
  "industry": "apparel",
  "maxItems": 150
}

Map an industry state by state

Run one industry with no state, then pivot the dataset on state. Each row carries its city, state and countryCode, so the export drops straight into a map or a pivot table. The Furniture & Home Decor industry listed 1,380 manufacturers on 24 October 2026.

{
  "industry": "furniture",
  "maxItems": 1500
}

Refresh a supplier list every month

Keep the slugs of the manufacturers you work with and schedule this input on the Apify scheduler. Each run returns their profile as it is that day: new reviews, new photos, a production stage added or dropped, a badge gained.

{
  "factorySlugs": ["baikal-inc1", "lefty-productionco", "cloth-paper-scissors", "ironandwire"]
}

Paste a search you built on Maker's Row

Filter on the site, copy the address bar and paste it. Every filter of the link is kept and the run reads its pages one after the other. Our run on the Bookcases category in Illinois returned all 7 manufacturers of that list.

{
  "startUrls": [
    { "url": "https://app.makersrow.com/manufacturers/category/bookcases?state=IL" },
    { "url": "https://app.makersrow.com/manufacturers?q=denim&state=CA" }
  ],
  "maxItems": 100
}

Rank sample makers by reputation

One keyword per kind of sampling work, then sort the dataset on reviewsCount and rating, and read sampleMakingDetails for how each manufacturer runs samples. The Reputation view of the dataset shows the rating, the star breakdown, the followers and the badges side by side.

{
  "searchQueries": ["sample making", "pattern making", "tech packs"],
  "state": "NY",
  "maxItems": 120
}

FAQ

What is Maker's Row? Maker's Row is a US directory where brands find manufacturers: apparel and accessories factories, furniture and home decor workshops, packaging suppliers and more. On 24 October 2026 it listed 11,651 manufacturers: 4,431 in Apparel & Accessories, 1,849 in Packaging, 1,380 in Furniture & Home Decor and 3,991 in Other.

What exactly does a row contain? One manufacturer: its identity, what it makes, the production stages it takes on with its own answer for each, batch sizes, supplier types, equipment, who it works with, year founded, badges, rating, star breakdown, followers, reviews, location, opening hours, logo, cover, work photos and video. 52 columns in all, listed above.

Do I get email addresses and phone numbers? No. Maker's Row does not publish them on its profiles: a manufacturer's phone, website and street address are shared with a brand once they are in touch through Maker's Row. Each row tells you whether the manufacturer has a website (hasWebsite) and a phone number (hasPhone) for the brands it works with, and url takes you to the profile to start a project or a conversation.

Do I need a Maker's Row account? No. The actor reads the public profiles any visitor sees. No login, no API key.

How many manufacturers can I get? As many as your searches match, up to maxItems. There is no fixed limit in the actor. A broad keyword returns a few hundred (leather matched 851 manufacturers on 24 October 2026), the biggest category (Accessories) listed 1,337, and an empty input walks the whole directory.

How fast is it? On our runs of 24 October 2026: 20 manufacturers in 10 seconds, 15 in 7 seconds, 60 in 25 seconds across 3 directory pages.

Can I combine keywords and filters? Yes. The category, industry, state and city filters apply to every keyword. "searchQueries": ["embroidery"] with "state": "NY" and "maxItems": 60 returned the 60 manufacturers asked for on our run, every one of them in New York. With filters and no keyword, the run browses the directory through the filters only.

Can I run several keywords, links and slugs at once? Yes, in one run. Slugs and profile links are read first, then each keyword and each directory link. A manufacturer found by several of them appears once, and maxItems counts the whole run.

How fresh is the data? Live: every run reads Maker's Row at the time it runs, nothing is cached. Schedule the actor to follow reviews, badges and capabilities over time.

Why are some columns empty? Manufacturers fill their profile themselves. Some never listed equipment, opening hours or a video, and most have no review yet: on the prefilled run, 6 of the 20 handbag manufacturers had reviews. An empty value is null, never a made-up one.

Do the photo links expire? No. logoUrl, coverImageUrl and galleryImages point to the image files themselves and keep working after the run. A photo the manufacturer later removes from its profile may stop loading.

What is the difference between vetted and premium? Vetted (isVetted) means Maker's Row checked the manufacturer's business details and references. Premium (isPremium) means the manufacturer subscribes to Maker's Row Premium, which shows it in a Premium block above the search results. The two are independent: 17 of the 20 manufacturers of our prefilled run were vetted, 2 were Premium.

Is it legal to scrape Maker's Row? The actor collects publicly available business profiles, the same pages any visitor sees, without logging in. Read the Legal compliance section below and the Maker's Row terms before you reuse the data.

More SilentFlow scrapers

🛒 E-commerce

• JD - JD Products Scraper | JD.com Prices, Brands and Barcodes
• Pinterest - Pinterest Scraper | Pins, Boards and Profiles
• Leboncoin - Leboncoin Scraper | Classified Ads, Prices and Sellers
• TikTok Shop - TikTok Shop Scraper | Products, Sellers and Creator Videos
• Leboncoin - Leboncoin Ad Details Scraper
• Back Market - Back Market Scraper | Refurbished Prices
• ImportYeti - US Customs Records, Suppliers & Trade Data - ImportYeti Scraper - US Customs Records, Suppliers & Trade Data
• Naver - Naver Scraper | Shopping Products, Prices and Reviews
• Naver - Naver Products Scraper | Shopping Prices, Sellers and Ratings
• Udemy Course - Udemy Course Scraper
• 1688 - 1688 Scraper | Products, Details, Wholesale Prices, Suppliers
• Amazon Seller - Amazon Seller Scraper | Emails, Phones and Ratings
• Naver - Naver Reviews Scraper | Shopping Product Reviews
• Store Leads Ecommerce - Store Leads Ecommerce Scraper
• Store Leads - Store Leads Scraper | Shopify Data
• Allegro - Allegro Scraper | Products, Prices and Sellers
• Leboncoin - Leboncoin Scraper
• Lowes - Lowes Products Scraper | Prices, Stock and Specs
• Mobile.de - Mobile.de Scraper
• Taobao - Taobao Scraper | Products, Details, Prices and Sellers
• Agoda - Agoda Scraper | Hotel Prices and Guest Ratings
• Alibaba - Alibaba Products Scraper | Wholesale Prices and MOQ
• Avito - Avito Scraper | Listings, Prices and Sellers
• Bring a Trailer - Bring a Trailer Scraper
• Coupang - Coupang Detail Scraper | Product Prices and Options
• Eventim - Eventim Scraper | Events, Ticket Prices and Venues
• Pinterest - Pinterest Scraper
• Udemy - Udemy Scraper
• Alibaba - Alibaba Scraper | Products, Supplier Companies and Prices
• AliExpress - AliExpress Reviews Scraper | Feedback, Ratings and Photos
• AliExpress - AliExpress Scraper | Products, Prices and Sales
• Avito - Avito Profiles Scraper | Sellers, Ratings and Reviews
• Back Market - Back Market Scraper | Refurbished Electronics Prices
• BAUHAUS - BAUHAUS Scraper | Product Prices, EAN and Specs
• CARFAX - CARFAX Scraper | Used Cars, Prices and History
• eBay Marketplace - eBay Marketplace Scraper
• Google Hotels - Google Hotels Scraper | Prices, Offers and Ratings
• Homedepot - Homedepot Reviews Scraper | Customer Reviews and Ratings
• Leboncoin - Leboncoin Details Scraper | Full Ad Data and Sellers
• Mafengwo - Mafengwo Scraper | Attractions, Ratings and Tickets
• Mercari - Mercari Scraper | Listings, Sold Prices and Sellers
• Trip - Trip Scraper | Hotels, Prices and Reviews
• Vinted Marketplace - Vinted Marketplace Scraper
• Webmotors - Webmotors Scraper | Car Listings, Prices and FIPE
• Woolworths - Woolworths Products Scraper | Prices, Specials and Nutrition
• Amazon - Amazon Product Scraper
• Amazon Marketplace - Amazon Marketplace Scraper
• AutoScout24 - AutoScout24 Scraper
• eBay Listings - eBay Listings Scraper
• Europages Deep Dive Extractor - Europages Deep Dive Extractor | VAT, Decision Makers, ISO Certs
• Europages - Europages Scraper | Suppliers and B2B Companies
• GasBuddy - GasBuddy Scraper | Gas Prices by Station
• Goofish - Goofish Detail Scraper | Listings, Prices and Sellers
• Vinted - Vinted Scraper
• Walmart - Walmart Scraper | Prices, Reviews, Sellers, Availability
• Walmart - Walmart Product Scraper

💼 Jobs

• ZipRecruiter - ZipRecruiter Jobs Scraper | Salary, Company & Location Filters
• Indeed - Indeed Company Reviews Scraper
• Multi Board - Multi Board Job Scraper
• Jobright - Jobright Scraper | Jobs, Salaries and H1B Sponsors
• Malt - Malt Scraper | Freelance Profiles
• Jora - Jora Jobs Scraper
• LinkedIn Job Search - LinkedIn Job Search Scraper | Salaries & Seniority
• Malt Freelancer - Malt Freelancer Scraper
• Glassdoor Job Listings - Glassdoor Job Listings Scraper
• 🔥 Glassdoor - 🔥 Glassdoor Scraper
• ATS - ATS Jobs Scraper | Greenhouse, Lever and Ashby
• Glassdoor - Glassdoor Jobs Scraper
• Arbeitsagentur - Arbeitsagentur Jobs Scraper
• Cutshort - Cutshort Jobs Scraper | Salaries, Skills and Companies
• Dice - Dice Jobs Scraper | US Tech Jobs, Salaries, Skills
• Dice Tech - Dice Tech Jobs Scraper
• iimjobs - iimjobs Jobs Scraper | MBA, Finance and Hirist Tech Jobs
• Indeed - Indeed Jobs Scraper | Job Listings in 73 Countries
• Instahyre - Instahyre Jobs Scraper | Companies, Recruiters and Ratings
• Jora - Jora Scraper | Jobs in Australia, New Zealand, Singapore
• StepStone - StepStone Scraper
• Welcome to the Jungle - Welcome to the Jungle Job Scraper
• YCombinator - YCombinator Jobs Scraper | Startup Jobs, Salaries and Founders
• All - All Jobs Scraper
• Arbeitsagentur - Arbeitsagentur Scraper | German and Austrian Job Board
• iimjobs - iimjobs Scraper | Jobs, Companies and Recruiters
• Indeed - Indeed Companies Scraper | Reviews, Salaries, Interviews
• Indeed - Indeed Jobs Scraper | NLP Skills
• LinkedIn - LinkedIn Jobs Scraper
• Naukri & NaukriGulf - Naukri & NaukriGulf Jobs Scraper
• Seek - Seek Job Scraper
• Welcome to the Jungle - Welcome to the Jungle Scraper | Jobs and Company Data
• Ziprecruiter - Ziprecruiter Scraper

🏠 Real estate

• SeLoger - SeLoger Scraper | Real Estate Listings
• Realtor Rental Listings - Realtor Rental Listings Scraper
• Airbnb Professional Host - Airbnb Professional Host Scraper | Emails, Phones, SIRET
• Airbnb Pro Host Contact & - Airbnb Pro Host Contact & Email Scraper
• Bien'ici - Bien'ici Scraper | Property Listings
• Rightmove - Rightmove Scraper
• Trulia Rental Listings - Trulia Rental Listings Scraper
• Idealista - Idealista Scraper
• SeLoger - SeLoger Scraper | French Property Listings and Agencies
• Airbnb Search - Airbnb Search Scraper
• Bienici - Bienici Scraper
• Realestate.com.au - Realestate.com.au Scraper
• Zillow - Zillow Scraper
• Airbnb Search - Airbnb Search Scraper | Prices, Fees, Amenities, Hosts
• Anjuke - Anjuke Scraper | Rental Listings, Prices and Agents
• Idealista - Idealista Scraper
• Realtor Rental - Realtor Rental Scraper
• Trulia Rental - Trulia Rental Scraper | US Rentals, Prices, Pet Policy

📣 Social media

• Facebook Search - Facebook Search Scraper
• LinkedIn Post Search - LinkedIn Post Search Scraper | Keywords, Hashtags & Profiles
• Instagram - Instagram Story Scraper | Stories & Highlights
• LinkedIn Leads - LinkedIn Leads Scraper | Sales Navigator Export
• Facebook Search - Facebook Search Profiles Scraper | People by Name or Keyword
• YouTube - YouTube Channel Scraper | Videos, Shorts and Views
• TikTok - TikTok Scraper
• Instagram Engagement - Instagram Engagement Scraper
• TikTok Trend - TikTok Trend Scraper | Trending Hashtags and Videos
• Discord - Discord Scraper | Servers, Member Counts and Invites
• Likee - Likee Scraper | Videos, Hashtags and Creators
• LinkedIn Sales Navigator - LinkedIn Sales Navigator Scraper
• Meta Ad Library - Meta Ad Library Scraper
• OnlyFans - OnlyFans Creator Scraper
• OnlyFans - OnlyFans Profile Scraper
• Pinterest - Pinterest Ads Scraper | Ad Library, Reach & Targeting
• Reddit - Reddit Scraper | Posts, Comments and Subreddits
• Skool Community - Skool Community Scraper
• Snapchat - Snapchat Videos Scraper | Spotlight Videos, MP4 and Stats
• Bandsintown - Bandsintown Scraper | Concerts and Tour Dates
• Discord - Discord Profiles Scraper | Users, Badges and Server Tags
• Facebook Thread - Facebook Thread Profiles Scraper | Followers, Bios & Engagement
• Kuaishou - Kuaishou Scraper | Videos, Comments and Creator Stats
• LinkedIn Ads Library - No Cookies - LinkedIn Ads Library Scraper - No Cookies
• LinkedIn Event - LinkedIn Event Scraper
• LinkedIn Hashtag & - LinkedIn Hashtag & Post Scraper | No Cookies
• Pinterest - Pinterest Profiles Scraper | Followers, Emails and Bios
• Pinterest - Pinterest Videos Scraper | Video Downloader, MP4 Links, Stats
• Reddit - Reddit Comments Scraper | Search, Threads and Replies
• Reddit - Reddit Profiles Scraper | User Karma, Activity and Communities
• Reddit - Reddit Scraper | Comments, Posts and Users
• RedNote - RedNote Videos Scraper | Downloader, Transcripts and Stats
• Snapchat - Snapchat Contacts Scraper | Phones, Emails and Websites
• TikTok Creative - TikTok Creative Ads Scraper | Top Ads, Landing Pages & Metrics
• TikTok Lookalike - TikTok Lookalike Scraper | Influencers, Emails and Engagement
• X Timeline - X Timeline Scraper | Tweets and Engagement Stats
• Xigua - Xigua Scraper | Videos, Creators and Downloads
• YouTube Autocomplete - YouTube Autocomplete Scraper | Keyword Suggestions
• Douyin - Douyin Comments Scraper | Comments, Likes and IP Regions
• Facebook - Facebook Company Scraper | Emails, Phones, Ratings
• Facebook Business Page - Facebook Business Page Scraper
• Kwai - Kwai Scraper | Videos, Creators and Hashtags
• RedNote - RedNote Detail Scraper | Xiaohongshu Details, Images, Videos
• Skool Group - Skool Group Scraper
• Snapchat - Snapchat Ads Scraper | Ad Library, Impressions & Targeting
• TwitchTracker - TwitchTracker Scraper | Twitch Streamer Stats and Rankings
• Weibo - Weibo Scraper | Posts, Profiles and Engagement
• YouTube - YouTube Transcript Scraper

🏢 Business data

• Tencent - Tencent Scraper | Maps Places, Phones and Ratings
• LinkedIn Company Search - LinkedIn Company Search Scraper | Profiles & Firmographics
• LinkedIn People Search - LinkedIn People Search Scraper | Profiles & Companies
• Bilibili - Bilibili Scraper | Videos, Profiles, Comments, Danmaku
• Ctrip - Ctrip Scraper | Attractions, Tickets and Reviews
• Teachable Course - Teachable Course Scraper
• Website Tech Stack - Website Tech Stack Scraper
• 2GIS - 2GIS Reviews Scraper | Ratings, Photos and Owner Replies
• Teachable - Courses, Prices & Instructors - Teachable Scraper - Courses, Prices & Instructors
• Trustpilot - Trustpilot Scraper | Reviews, Ratings and Company Contacts

✈️ Travel

• Flight Price - Flight Price Scraper
• Booking.com Hotel - Booking.com Hotel Scraper
• Google Maps - Google Maps Scraper
• Kakao - Kakao Scraper | Map Places, Reviews and Phones
• OpenTable - OpenTable Reviews Scraper | Restaurant Reviews and Ratings
• TheFork - TheFork Scraper | Restaurants, Menus and Ratings
• Trip - Trip Reviews Scraper | Hotel Reviews and Ratings
• Zomato - Zomato Reviews Scraper | Restaurant Ratings and Replies
• Booking - Booking Scraper | Hotel Prices, Photos, Availability

🎯 Lead generation

• Northdata - Northdata Company Scraper
• Dealroom - Dealroom Scraper | Companies and Investors
• ZocDoc - ZocDoc Scraper | Doctors, Reviews and Availability
• UK Companies House - UK Companies House Enricher
• CNPJ Brazilian - CNPJ Brazilian Company Enricher
• Justdial - Justdial Companies Scraper | Business Leads, Phones and Emails
• PagesJaunes - PagesJaunes Scraper | French Business Emails and SIRET
• SpyFu - SpyFu Scraper | SEO, PPC and Competitor Data
• BuiltWith - BuiltWith Scraper | Tech Stacks and Top Sites
• Company Data - Company Data Scraper | Emails, Phones and Tech Stack
• Dealroom Startup Data - Dealroom Startup Data Scraper
• Domain - Domain Enricher
• French Company Prospector - French Company Prospector
• KVK - KVK Scraper | Dutch Companies and SBI Codes
• PagesJaunes - PagesJaunes Business Scraper
• SEC - SEC Scraper | EDGAR Filings and Company Data
• SIRET - SIRET Company Enricher
• SoftwareAdvice - SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons
• Sunbiz - Sunbiz Companies Scraper | New Florida Business Leads
• Sunbiz - Sunbiz Scraper | Florida Companies and Officers
• USPTO - USPTO Scraper | Trademark Search and Status
• Clutch - Clutch Scraper | Agencies, Reviews, Ratings, Services
• Clutch Agency - Clutch Agency Scraper
• G2 - G2 Reviews Scraper
• Google Ads Transparency - Google Ads Transparency Scraper
• SIRET French - SIRET French Company Enricher
• ThomasNet Suppliers - ThomasNet Suppliers Scraper
• ZocDoc - ZocDoc Scraper

🔎 SEO

• Similarweb - Similarweb Scraper | Website Traffic, Rankings and Competitors
• Apple - Apple Reviews Scraper | App Store Reviews and Ratings
• Apple - Apple Scraper | App Store Apps, Ratings and Charts
• Bing - Bing Enricher Scraper | Mobile Friendly Test and Indexing
• Google News - Google News Scraper
• Scribd - Scribd Scraper | Documents, Authors and Views

📈 Marketing

• Douyin - Douyin Transcript Scraper | Subtitles and Speech to Text

🎬 Video

• Pexels - Pexels Scraper | Photos, Videos and Download Stats

📰 News

• ForexFactory - ForexFactory Scraper | Economic Calendar and Forecasts

🧰 More tools

• FanDuel - FanDuel Scraper | Odds, Spreads and Player Props
• PrizePicks - PrizePicks Scraper | Player Props, Lines and Projections

Support

Need something this scraper doesn't do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations and high-volume plans
• Pricing questions? Check the Monetization tab on the actor page

Response time: usually under 24 hours.

Legal compliance

This Actor extracts publicly available data from Maker's Row (app.makersrow.com): business profiles that manufacturers publish to be found by brands. It does not bypass any login, paywall, or CAPTCHA, and it does not collect the contact details Maker's Row keeps between members. Users are responsible for complying with the Maker's Row terms of service and applicable data protection laws (GDPR, CCPA, and PIPL where relevant). Reviews carry the reviewer's first name and last initial: handle that personal data accordingly and for a legitimate purpose. The data returned is informational; check a manufacturer's capabilities and terms with it directly before you place an order.

Built by SilentFlow for brands, sourcing teams and researchers who need to know which US factories can make their product.