Extract complete LinkedIn profiles without logging in — by profile URL, or by searching for people with filters.

Extract Instagram account data — bio, followers, verification, business info, links, and recent posts — by username or keyword search

Extract tweets from Twitter (X) by handle, search keyword, or tweet URL — with full text, date, media, quoted/retweeted content, and all engagement metrics

LinkedIn posts from any profile, company, post or feed URL — or by search with author, mention and content-type filters. Same clean record either way.

Extract Reddit posts from any subreddit, post, user, or feed — with an optional keyword search on top. Posts only (no comment tree).

Search Google Maps places for address, rating, reviews, contact info, opening hours, and images

Instagram posts and reels — captions, engagement, media, music and authors. By profile (posts, reels, tagged), post URL, hashtag or keyword.

Get LinkedIn company data — by company URL, or by searching with filters (location, size, industry). Returns the full company profile either way.

Extract Amazon product reviews—ratings, text, verification, helpful votes, and any attached photos/videos—from product URLs or ASINs on any marketplace

List LinkedIn company employees — name, role, location, seniority — from a list of company URLs

Extract top Instagram comments — text, timestamps, likes, commenter details, and thread sizes — from post or reel URLs

Blinkit products by search, category, brand or product URL(s) — prices, MRP, stock, ratings, rank, images and product details

Scrape Google Search results — organic links, snippets, titles — with country/language filters and search operators

Complete Amazon product data — by product, category or search URL from any marketplace, or by keyword. Full detail page for every product either way.

Public Facebook page profiles — category, followers, contact details, rating, hours, owner, ad status, and links to Instagram, X, YouTube and TikTok.

TikTok videos and photo posts by profile, hashtag, keyword, post URL or sound — engagement metrics, author stats, hashtags, mentions and music.

Posts and reels from any public Facebook page, profile or group — text, author, reactions by type, comments, shares, views, media, links and mentions.

Turn a LinkedIn profile URL into a verified work email address — no login, no connection request.

Extract the followers or following list of any public Instagram account — handle, name, verification, and privacy

LinkedIn job postings — title, company, location, description, salary and full company profile. Search by job title, location and filters.

Twitter (X) profiles — bio, follower counts, verification type, location and links. By handle, profile URL or keyword search; same record either way.

Extract comments and replies from Facebook posts, reels, and photos — text, author, likes, reply count, and thread position — by post URL

Extract every comment from a Reddit post — the full threaded discussion flattened to one row per comment, at any reply depth.

YouTube videos and Reels by search, channel URL or video URL — views, likes, comments, duration, publish date, description, keywords and thumbnails.

Every ad a brand runs in Meta's Ad Library — creative, headline, CTA, link, dates, format, platforms, advertiser, and EU reach where disclosed.

Top-level TikTok comments — text, likes, reply counts, commenter handle and profile, timestamps and mentions. From video URLs or by profile.

Zepto products by search, category or product URL(s) — prices, MRP, stock, ratings, rank, images and product details

Extract reviews from Google Maps places — reviewer info, ratings, text, responses — using start URLs and max reviews

Extract LinkedIn post comments and replies, including likes and reactions, from a list of post URLs

Turn a company's website domain into its LinkedIn company page URL.

Get Google News articles for any search query — headline, publisher, published date, link, and thumbnail — with region/language and date-range filters

Monitor public LinkedIn profiles for reactions, along with full post details and social activities

Profiles that follow a Facebook page, or that the page follows — name, profile URL, ID, avatar and bio. Choose followers, following, or both.

Instamart products by search, category or product URL(s) — prices, MRP, stock, ratings, rank, images and product details

Extract LinkedIn profile comments and their social activities like likes and reactions, requiring no input

Extract reactions from LinkedIn posts and comments, providing likes and appreciations

Extract Facebook Marketplace listings — title, price, condition, location, attributes, and photos — from any category or search URL.

Extract a public Instagram account's currently-active Stories — media URLs, timestamps, links, music, and poster details — by username

The followers or following list of any public TikTok account — each row a full profile with handle, name, followers, likes, video count and bio.

Find TikTok accounts by keyword — handle, display name, bio, follower and engagement counts, verification, and business/seller info.

A Twitter (X) account's followers or following as full profiles — bio, counts, location, links, account age and latest tweet. From a handle or URL.

TikTok Shop products by keyword — title, price, discount, seller, rating, sold count, promo labels, description, and every variant with its stock.

TripAdvisor restaurants — contact, address, coordinates, rating breakdown, ranking, cuisines, dishes, hours, menu links, price level and photos.

Every reply to a tweet as a full tweet record — author, engagement, media, quotes. The original is included, flagged so you can tell them apart.

YouTube channel details — subscribers, total views and videos, description, country, join date, verification and social links. By URL, @handle or search.

Extract Google Play reviews, including reviewer name, rating, publish date, and full text

Indeed job listings — title, company, salary, location, skills, hiring-demand signals and apply links. By keyword and location, or by job ID.

Yelp business profiles — address, phone, ratings, attributes, photos, review insights, popular dishes and health inspections. By URL or location search.

Extract YouTube comments — text, likes, replies, author details, and publish date — from any video URL

Booking.com property listings — price, guest score, rooms, facilities, photos, location and operator info. By destination search or hotel URL.

Extract Google Images details — URL, source, description, dimensions, and thumbnail — by providing a query and image count

Full StockX product detail with live market data — every size with its ask, bid and last sale. One row per product, from a brand, search or product URL.

Everyone who retweeted a tweet, each as a full Twitter (X) profile — handle, name, bio, follower counts, verification, location and links.

Extract Upwork job postings with their title, description, budget, required skills, and client details

Extract LinkedIn ad details, ad copy, media URL, and call-to-action buttons from Ad Library URLs

Extract product data — prices, variants, images, descriptions — from any Shopify-powered store URL

Traffic estimates for any website: monthly visits, global and category rank, engagement, where the traffic comes from, which countries and keywords drive it, and how much of it now arrives from AI assistants.

Get Airbnb listing records — price, availability, ratings, host info, amenities, photos — by listing URL or by location search

Live product data from BigBasket - search, browse a category, or fetch specific product URLs, for the store serving any Indian pincode.

Extract Booking.com hotel reviews, ratings, stars, and reviewer details from hotel URLs

Find Facebook events by keyword search or event URL — one row per event with name, date, venue, host, attendance, and ticket link.

Reels from public Facebook pages — play count, publish time, audio track, video and thumbnail links, languages. Plays are the only engagement metric.

Facebook page reviews — the recommend flag, review text, date, reviewer, likes, tags and photos, from one or more page URLs.

Farfetch product detail — price, discount, per-size availability, seller boutique and category. One row per product, from a designer or product URL.

Full GOAT product detail — every size, its asking price and availability — one row per product, from a search, a brand page or a product URL.

Extract Google Shopping product listings and details by keyword, country, language, count, and date range

Pull details for a specified number of Naukri job postings, including title, company, and experience

TripAdvisor things to do — contact, address, coordinates, rating breakdown, ranking, attraction types, Viator booking links, ticket offers and photos.

TripAdvisor hotels — contact, address, coordinates, rating breakdown, ranking, class, room count, amenities, price range, OTA offers and photos.

Extract Tripadvisor reviews for specified places, with text, rating, dates, reviewer, owner responses, and place details

Extract Airbnb reviews — text, author, rating, date — from provided URLs, specifying a locale

Live product data from Amazon Now, India's Amazon quick-commerce service - search, browse a category, or fetch specific products, for the dark store serving the pincode you name.

The full public EPFO record for an Indian establishment: registration, coverage and exemption status, owners and directors, the statutory identifiers (CIN, LIN, ESIC), the EPFO office it belongs to, and the monthly PF remittance history with amount and employee count per wage month.

Live product data from Flipkart Minutes - search, browse a category, or fetch specific product URLs, for the store serving any Indian pincode.

Individual Yelp reviews — full text, rating, date, reviewer profile, reaction counts, photos and owner replies. One clean row per review.

The full public GST record for any Indian GSTIN: the registration snapshot (legal and trade name, address, status, constitution, jurisdiction, Aadhaar and e-KYC flags), plus the nested return-filing history, HSN goods and SAC services, filing frequency by financial year, and additional trade names.

Every company in Y Combinator's public directory - batch, industry, region, team size, status, founders with bios and LinkedIn URLs, open roles, news and launches. Filter the directory, or look up companies by URL or slug.

Every founder in Y Combinator's public directory - name, title, bio, LinkedIn, Twitter and Hacker News, plus the company they founded with its batch, industry, location and team size.