ParseForge

Scrapes property listings from a Realtor.ca map view URL. Returns each listing as a flat row with price, address, bedrooms, bathrooms, property type, and listing URL.

Scrape RotoWire betting odds across 10 sports. Moneyline, spread and totals from nine sportsbooks per game, plus player props, full market breakdowns, injury reports, futures, and computed hold, fair probability and arbitrage.

Scrapes the public Slovak RPO company register. Returns each entity as a flat row with ICO, legal form, address, SK NACE activity, statutory bodies, stakeholders, and historical data.

Scrapes TechCrunch articles from a specified category URL. Returns each article's title, author, publication date, and full body text in a structured dataset.

Scrape TED Europa tender notices and contract award notices: title in English, buyer, country, CPV codes, deadline, value, winner and 245 eForms fields. Daily tender alerts by country, CPV, keyword or expert query.

Scrapes movie box office charts from The Numbers and returns each movie as a flat row with rank, gross, distributor, theaters, and release date.

Scrapes Udacity course and nanodegree listings by search query or school filter. Returns each program as a flat row with difficulty, duration, rating, and optional full syllabus and instructor details.

Scrapes UK postcode data from Postcodes.io by list, partial search, or reverse geocoding. Returns each match as a flat row with address, ward, constituency, and coordinates.

Scrape Walmart.com products from search, category or product URLs: price, was price, rating, seller, UPC, specs, variants and images. Export to CSV, Excel, JSON or XML.

Look up WeChat Official Accounts by name, WeChat ID, topic or article link: WeChat ID, gh_ ID, biz, AppID, avatar, QR code. Export CSV, Excel, JSON or XML.

Scrapes OCR text from DjVu and PDF books on Wikimedia Commons. Returns each page's title and full text. Supports category and search queries.

Scrape YouTube by search query, channel, playlist or video URL. Every video returns as a flat row with title, URL, thumbnail, duration, upload date, view count and channel profile. Filter by date, duration, type and features. No API key and no quota. Export to CSV, Excel or JSON.

Scrapes Niche ranking lists for K-12 schools, districts, and colleges. Returns each school as a flat row with its grade, reviews, acceptance rate, and stats.

Convert images between JPEG, PNG, WEBP, AVIF, and SVG formats. Upload files or paste URLs, set quality and aspect ratio, and get converted images as a dataset.

Scrapes Sysco Food Service product listings by search term, category, or brand. Returns each product as a flat row with price, pack size, brand, and regional availability.

Normalizes addresses from a list or CSV file into standardized components like street, city, state, ZIP, and country. Supports custom normalization rules.

Scrapes Zillow rental search results from a URL you provide and returns each listing as a flat row with rent price, bedrooms, bathrooms, address, and listing URL.

Scrapes Data.gov catalog search results by keyword or URL. Returns each dataset as a flat row with title, description, publisher, formats, and metadata. Export to CSV, JSON, Excel, or XML.

Scrape UK property listings from Zoopla including prices, property details, and agent information for both sales and rentals.

Scrapes arXiv preprints by search query, category, or paper ID and returns each paper's metadata as a flat row. Supports bulk collection up to a million papers per run.

Scrapes anime and manga entries from AniList by search term with filters for format, status, season, year, and genre. Returns each title as a flat row with full metadata.

Scrapes FlixBus trip schedules, prices, and seat availability for a given origin, destination, and date. Returns each trip as a structured row.

Scrapes Redfin property listings by location with filters for price, beds, baths, square footage, year built, HOA, and property type. Returns each listing as a flat row.

Scrapes federal job postings from USAJobs search results. Returns each listing as a flat row with title, agency, location, salary, grade, and full announcement details.