Reads Home Depot product data by item ID or product URL: numeric price, was-price, brand, model number, unrounded star rating, review count and a derived availability status. Pass a store number and both the price and the stock come back for that store instead of the national default.
Scrape public LinkedIn profiles by slug or /in/ URL, with no login and no cookies. Each row carries the full name, headline, About text, dated work history and education with start and end years, location, current company, languages, profile photo and an exact follower count.
Scrape public TikTok profiles by handle and get exact counts: followerCount reads 95200000 rather than the rounded 95.2M the page displays, alongside followingCount, likeCount, videoCount, nickname, biography, isVerified and the full-size avatar. Up to 500 handles per run, all read logged out.
Runs keyword searches on Amazon and returns the whole first results page in order: rank, ASIN, title, numeric price, currency, rating, review count and an isSponsored flag on ad placements. Starts from a keyword, not a known ASIN. Seven marketplaces, each searched in its own language.
Scrapes every open posting on any Ashby job board at jobs.ashbyhq.com and returns title, company, department, employmentType, isRemote, postedAt and the apply URL, plus city, state and country read from Ashby's own postal address. Pass a board URL or just the company slug.
Scrape the 10 most recent G2 reviews for any software product: star rating, headline, pros and cons kept as two fields rather than one merged body, reviewerRole, companySegment of Small-Business, Mid-Market or Enterprise, industry, the Validated Reviewer flag, publishedAt and a permalink per review.
Collects job postings from any iCIMS careers portal on icims.com: title, company or brand, department, employmentType, postedAt, apply URL, and the location split out of the portal's country-state-city code. Follows the portal's own paginator, so a 1,000-posting site comes back in full.
Reads any Workday careers site on myworkdayjobs.com through the tenant's own CXS search API and returns the requisition ID, title, employmentType, isRemote, postedAt, apply URL and a location split into city, state and country. Paginates a whole board 20 postings at a time.
Scrape Upwork job posts by keyword, newest first, through the same search API the site itself calls. Each row has the title, the full post description, a fixed budget or hourly range as numbers, the currency, the experience level the client asked for, Upwork's skill tags, posted time and job URL.
Reads Amazon Best Sellers ranking pages and returns one row per ranked product: rank, ASIN, title, displayed price, star rating and review count. You give it category slugs rather than ASINs, and every marketplace picked is crossed with every category. Covers US, UK, DE, FR, ES, JP and AU.
Give it ASINs or Amazon product URLs and get one row per product: a numeric buy-box price, ISO currency, list price, star rating, review count, the availability line, brand and main image. Each of the seven marketplaces is fetched from an exit in its own country, so prices come back local.
Scrape AutoTrader car listings from a ZIP code, a UK postcode or a search URL you built on the site. Rows carry year, make, model and trim, numeric price and mileage, VIN, body style, fuel and transmission, plus the selling dealer's name, city and state. Covers autotrader.com and autotrader.co.uk.
Scrape 25 Capterra reviews per software product, each with the three sub-ratings Capterra scores separately - easeOfUse, customerService and valueForMoney - beside the overall rating, plus pros and cons as distinct fields, reviewerRole, companySize, industry and publishedAt. No account needed.
Scrape Fiverr gig search results for any keyword. Every gig comes back with its title and URL, the starting price as a number in USD, star rating and review count, the seller's name and level badge, the delivery time in days and the cover image. 48 gigs per search term, one request each.
Scrape Glassdoor job listings by keyword and location. Each row carries the title, company, employer rating, pay as numbers with its period and currency next to the range Glassdoor displays, easy-apply and sponsored flags, a description snippet, days since posting and the apply URL.
Find recent low-star Google Business Profile reviews by search term and location, with the business's contact details on every row.
Reads any Greenhouse board from Greenhouse's own JSON feed and returns jobId, title, company, department, location, isRemote, employmentType, postedAt and the apply URL for every open posting. One request covers a whole board, however large. Board token, board URL or embed URL.
Scrape Indeed job postings by search term and location across the US, UK, Canada, Australia and Germany. Every row carries the job title, company, location, the salary the employer stated in the posting, employer rating and review count, the posting date and a direct job URL.
Scrape LoopNet commercial real estate by market: around 25 listings per search with listingId, asking price, the quoted priceText, pricePerSqft lease rates, buildingSqft, propertyType such as Office, Retail or Industrial, yearBuilt, brokerName and the full address. For sale or for lease, no login.
Read MLB box-office inventory off mlb.tickets.com: one row per section and price level still on sale, with availableSeats, maxContiguousSeats, face value in price, the checkout allInPrice and the serviceCharge between them. Name a club and it finds its own home games. 18 of 30 clubs.
Scrape Realtor.com by city, state or ZIP and get up to 200 listings per location in one request: numeric price, beds, consolidated baths such as 2.5, areaSqft, lotSizeSqft, status, agentName, brokerName, detailUrl and coordinates. For sale, for rent or recently sold. No account needed.
Look up Spotify artists by ID, URI or open.spotify.com URL and get exact numbers: monthly listeners and follower count as integers rather than the rounded 100.6M the page prints, plus verified status, artist image and the top-tracks list with a play count on every track. No API credentials.
Collects postings from an Oracle Taleo career section on taleo.net through the same JSON job-board endpoint the search page uses. Returns the requisition ID, title, department, employmentType, postedAt, a jobdetail.ftl apply link, and the location split into city, state and country.
Collects startup jobs from Wellfound (formerly AngelList Talent) by role and location, with the salary range and the equity range as numbers rather than strings. Each row carries the company, its headcount bucket, the Wellfound handle, the location, a remote flag and a link to the posting.