ParseForge

Scrapes template pages from Wikimedia Commons via the public API. Returns each template's page ID, namespace, and title as a flat row. Filter by search term and set a max items limit.

Scrapes Wikimedia Commons user rights log entries via the public MediaWiki API. Returns each rights change as a flat row with old and new groups, acting user, target user, timestamp, and comment. Filter by acting user or target user, export up to 1,000,000 entries to CSV, JSON, Excel, or XML.

Scrapes Wikimedia Commons user records by group filter or active status. Returns each user as a flat row with user ID, name, and group membership.

Scrape valued images from any Wikimedia Commons category via the MediaWiki API. Returns page ID, namespace, and title for each image. No login required.

Scrapes the revision history of the Wikimedia Commons Village Pump page via the public MediaWiki API. Get user, timestamp, comment, and size for each revision. Optionally filter by search term.

Scrape Wikimedia Commons WikiProject pages: name, status, shortcut, participants, sections, categories, edit history. Export to CSV, JSON, Excel or XML.

Scrapes WikiProjects from Wikimedia Commons using the public category members API. Returns each WikiProject as a flat row with page ID, namespace, and title. Supports optional search filtering and bulk export up to 1,000,000 items.

Scrapes Wikimedia Commons creator template pages from any MediaWiki category and returns each one as a flat row with pageid, ns, and title. Uses the public API with no authentication required.

No public Store description is available yet.

Scrapes all page titles and IDs that belong to a Wikipedia category. Provide a category name like 'Physics' and get a flat list of every member page, subcategory, and file. Uses the public MediaWiki API with no authentication required.

Extracts JSON-LD structured data from Wikipedia pages by URL or search term. Returns flattened schema.org properties for articles, organizations, breadcrumbs, and more.

Scrapes historical events, births, deaths, and holidays from Wikipedia's On This Day feeds by date and language. Returns each entry as a flat row with year, description, and article links.

Extract embedded JSON-LD structured data from Wikipedia pages. Returns schema.org fields including @type, name, description, author, publisher, date, license, and interaction statistics. No API key required.

Scrapes full texts from Wikisource by exact title or full-text search. Returns each work as a flat row with title, language edition, and complete body in plain text or raw wikitext.

Scrapes Willhaben Austria listings from real estate and used car categories. Returns each listing as a flat row with price, location, and attributes.

Scrapes Wish product listings from search results or category URLs. Returns each product as a flat row with title, price, rating, and shipping details.

No public Store description is available yet.

Scrape job postings from any Workday career site by URL. Exact posting dates, salary ranges parsed to numbers, full descriptions. Export to CSV, JSON, Excel, or XML.

Scrapes real-time world statistics from Worldometer sections including world population, coronavirus, cars, and population by country. Returns each counter as a flat row with its name, value, and category.

Scrapes current weather observations from Weather Underground personal weather stations by station ID. Returns temperature, humidity, wind, pressure, and more as flat rows.

Extracts page metadata and the complete navigation tree from Xerox Business Solutions pages. Returns page titles, descriptions, Open Graph tags, and every navigation item with its parent-child relationships as flat rows.

Extract public XING job postings across the DACH market: title, company, location, employment type, career level, industry and XING's own structured salary estimate with minimum, median and maximum.

Searches the Yale LUX cross-collection catalog by keyword and optional object type, and returns each matching cultural object record as a flat row with its title, maker, date, medium, and linked images.

Scrapes YouTube education channels by handle and returns channel metadata, subscriber counts, and recent videos as flat rows.