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The type is detected automatically. Add as many as you want. (Or use one of the source fields below instead.)", "items": { "type": "string" } }, "subreddits": { "title": "Subreddits", "type": "array", "description": "Communities to scrape. Start typing to pick from the 500 most popular, or enter ANY name. Example: streetwear, AskReddit.", "items": { "type": "string", "enumSuggestedValues": [ "Home", "AskReddit", "NoStupidQuestions", "BaldursGate3", "facepalm", "interestingasfuck", "Damnthatsinteresting", "LivestreamFail", "pics", "Palworld", "AmItheAsshole", "mildlyinfuriating", "Piracy", "PeterExplainsTheJoke", "funny", "AITAH", "movies", "Helldivers", "gaming", "worldnews", "leagueoflegends", "pcmasterrace", "Unexpected", "news", "politics", "wallstreetbets", "todayilearned", "nottheonion", "memes", "PublicFreakout", "Wellthatsucks", "explainlikeimfive", "OutOfTheLoop", "OnePiece", "BlackPeopleTwitter", "buildapc", "HonkaiStarRail", "SipsTea", "Minecraft", "mildlyinteresting", "nfl", "BeAmazed", "DIY", "nba", "MapPorn", "Steam", "Overwatch", "Genshin_Impact", "classicwow", "soccer", "Eldenring", "badroommates", "personalfinance", "antiwork", "anime", "wow", "DnD", "technology", "WhitePeopleTwitter", "EscapefromTarkov", "unpopularopinion", "popculturechat", "videos", 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"Twitch", "CrackWatch", "Destiny", "comics", "CasualUK", "cscareerquestions", "PERSoNA", "Millennials", "Hololive", "3Dprinting", "travel", "VirtualYoutubers", "JoeRogan", "learnprogramming", "Scams", "JuJutsuKaisen", "apexlegends", "GenZ", "KidsAreFuckingStupid", "magicTCG", "Tinder", "clevercomebacks", "pokemon", "Genshin_Impact_Leaks", "PersonalFinanceCanada", "Music", "apple", "ImTheMainCharacter", "SweatyPalms", "dndnext", "ProgrammerHumor", "VALORANT", "books", "australia", "FortNiteBR", "StardewValley", "cats", "de", "diablo4", "PS5", "ThatsInsane", "povertyfinance", "geography", "skyrim", "teenagers", "Amd", "gamedev", "skyrimmods", "Animemes", "germany", "LifeProTips", "Frugal", "recruitinghell", "AskHistorians", "Jujutsufolk", "Asmongold", "BG3Builds", "canada", "snowboarding", "ukraine", "TooAfraidToAsk", "Warthunder", "selfhosted", "RPClipsGTA", "homelab", "AskWomen", "Philippines", "india", "tumblr", "webdev", "HistoryMemes", "FashionReps", "Costco", "ask", "NonCredibleDefense", "dataisbeautiful", "TwoHotTakes", "copypasta", "DataHoarder", "hockey", "aww", "yakuzagames", "StarWars", "196", "shittymoviedetails", "BuyItForLife", "changemyview", "sex", "MMA", "TheLastAirbender", "Marvel", "whatisthisthing", "Teachers", "HazbinHotel", "MechanicalKeyboards", "redditonwiki", "Windows10", "science", "stocks", "MonsterHunter", "Windows11", "greentext", "totalwar", "LegalAdviceUK", "GamingLeaksAndRumours", "relationships", "offmychest", "Bitcoin", "Roms", "csMajors", "YouShouldKnow", "LinusTechTips", "DestinyTheGame", "deadbydaylight", "GranblueFantasyRelink", "Construction", "LocalLLaMA", "motorcycles", "MonsterHunterWorld", "gameofthrones", "MacOS", "learnpython", "SkincareAddiction", "CryptoCurrency", "h3h3productions", "trees", "Grimdank", "NintendoSwitch", "mac", "oddlysatisfying", "space", "TaylorSwift", "hearthstone", "france", "Conservative", "HomeNetworking", "ontario", "blender", "Terraria", "videogames", "Persona5", "Showerthoughts", "headphones", "cars", "Fitness", "tf2", "Sims4", "help", "ADHD", "chess", "ufc", "Enshrouded", "godot", "whenthe", "virtualreality", "FinalFantasy", "Funnymemes", "reddeadredemption", "XboxSeriesX", "askscience", "aviation", "formuladank", "gachagaming", "HomeImprovement", "ApplyingToCollege", "dating_advice", "PleX", "halo", "instacart", "CleaningTips", "AusFinance", "Accounting", "stupidquestions", "doordash", "NewsOfTheStupid", "golf", "LeopardsAteMyFace", "Seattle", "UFOs", "fightporn", "LowSodiumCyberpunk", "CrackSupport", "wholesomememes", "lego", "careerguidance", "LastEpoch", "ChainsawMan", "CrusaderKings", "Jokes", "Polska", "mapporncirclejerk", "Starfield", "conspiracy", "london", "Warhammer40k", "Finanzen", "law", "Whatcouldgowrong", "Art", "comicbookmovies", "melbourne", "playstation", "gtaonline", "Money", "skiing", "midjourney", "argentina", "4chan", "Entrepreneur", "baseball", "MurderedByWords", "RimWorld", "lotr", "boardgames", "goodanimemes", "hmmm", "lostarkgame", "Economics", "unrealengine", "maybemaybemaybe", "nbacirclejerk", "computers", "notinteresting", "projectzomboid", "oculus", "Satisfyingasfuck", "Competitiveoverwatch", "MouseReview", "Fantasy", "horror", "OpenAI", "Fallout", "BatmanArkham", "Guitar", "FluentInFinance", "AbruptChaos", "rust", "blunderyears", "hoi4", "TheSilphRoad", "IdiotsInCars", "singapore", "pettyrevenge", "49ers", "privacy", "Guildwars2", "Monitors", "atheism", "TombRaider", "starcitizen", "PoliticalHumor", "Rainbow6", "30PlusSkinCare", "CrappyDesign", "software", "investing", "singularity", "sydney", "GooglePixel", "40kLore", "newzealand", "grandorder", "dating", "factorio", "footballmanagergames", "BG3", "funnyvideos", "unitedkingdom", "CreditCards", "loseit", "homeowners", "brasil", "BrandNewSentence", "RealEstate", "eu4", "OnePunchMan", "homeassistant", "amazonprime", "Advice", "MechanicAdvice", "JRPG", "vancouver", "MemePiece", "hiphopheads", "WerWieWas", "IAmA", "AskCulinary", "ChikaPH", "delta", "DCcomics", "marvelmemes", "PrequelMemes", "Unity3D", "runescape", "excel", "MarvelStudiosSpoilers", "askTO", "patientgamers", "MaliciousCompliance", "manhwa", "holdmycatnip", "Jujutsushi", "DeepRockGalactic", "ios", "nhl", "AskNYC", "buildapcsales", "ich_iel", "BollyBlindsNGossip", "programming", "ShingekiNoKyojin", "Watches", "SwiftlyNeutral", "geometrydash", "nostalgia", "askSingapore", "Parenting", "JEENEETards", "Naruto", "reactjs", "gamingsuggestions", "popheads", "yugioh", "summonerschool", "UKPersonalFinance", "windows", "chrome", "medicalschool", "IAmTheMainCharacter", "Bogleheads", "texts", "rupaulsdragrace", "EDH", "KGBTR", "linux", "dndmemes", "cursedcomments", "Presidents", "HollowKnight", "Superstonk", "TerrifyingAsFuck", "VisionPro", "DMAcademy", "UkrainianConflict", "SpidermanPS4", "linux_gaming", "pokemongo", "Deltarune", "FFVIIRemake", "GoodAssSub", "osugame", "whatcarshouldIbuy", "KansasCityChiefs", "LeagueOfMemes", "linuxquestions", "writing", "thalassophobia", "civ", "UnethicalLifeProTips", "perfectlycutscreams", "Target", "valheim", "notliketheothergirls", "comicbooks", "arknights", "StardustCrusaders", "Futurology", "AMDHelp" ] } }, "searches": { "title": "Search keywords", "type": "array", "description": "Keywords to search across Reddit (or one community, via \"Search within community\" below). Returns the type chosen in \"Search returns\".", "items": { "type": "string" } }, "searchType": { "title": "Search returns", "enum": [ "posts", "comments", "communities", "users" ], "type": "string", "description": "What your Search keywords return. \"Comments\" is the live comment search Reddit removed from its public API.", "default": "posts" }, "searchCommunity": { "title": "Search within community", "type": "string", "description": "Restrict searches to one subreddit (name only, e.g. \"fashion\"). Leave blank to search all of Reddit." }, "users": { "title": "Usernames", "type": "array", "description": "Reddit usernames → profile + their posts (and comments). Example: spez.", "items": { "type": "string" } }, "keywords": { "title": "Keyword intelligence", "type": "array", "description": "A keyword → its community landscape: matching communities, total addressable audience, related communities, Reddit topics, and live top conversations. Example: ozempic.", "items": { "type": "string" } }, "categories": { "title": "Categories / topics", "type": "array", "description": "Start a crawl from a topic — no subreddit names needed. The actor finds the top communities in each category and crawls them. Pick from Reddit's official categories or type any topic. e.g. \"Crypto\", \"Computers & Hardware\", \"Fitness\".", "items": { "type": "string", "enumSuggestedValues": [ "3D Printing", "Accessories & Jewelry", "Action Games", "Action Movies & Series", "Activism", "Addiction Support", "Adult Content", "Adventure Games", "Alcoholic Beverages", "Amazing", "Animals & Pets", "Animated Movies & Series", "Anime & Cosplay", "Anime & Manga", "Architecture", "Art", "Aviation", "Baking & Desserts", "Barbecues & Grilling", "Baseball", "Basketball", "Beauty & Grooming", "Bikes & Cycling", "Biological Sciences", "Boating & Sailing", "Books & Literature", "Business & Finance", "Business News & Discussion", "Camping & Hiking", "Career", "Cars & Trucks", "Celebrities", "Chemistry", "Classical Music", "Climate & Environment", "Collectibles", "Collectibles & Other Hobbies", "College Sports", "Comedy Movies & Series", "Comics", "Computers & Hardware", "Consumer Electronics", "Cosplay", "Country Music", "Crazy & Shocking", "Creators & Influencers", "Creepy", "Cricket", "Cringe & Facepalm", "Crypto", "Culture, Race, & Ethnicity", "DIY & Crafts", "DIY Electronics", "Dance & Electronic Music", "Data Science", "Deals & Marketplace", "Design", "Diet & Nutrition", "Digital Art", "Documentary Movies & Series", "Drama Movies & Series", "Economics", "Education & Career", "Engineering", "Esports", "Ethics & Philosophy", "Family & Parenting", "Fantasy Movies & Series", "Fashion", "Fashion & Beauty", "Filmmaking", "Fishing", "Fitness", "Food & Drinks", "Food & Recipes", "Food industry & Restaurants", "Football", "Funny", "Gambling", "Games", "Gaming Consoles & Gear", "Gaming News & Discussion", "Gardening & Farming", "Gender & Sexual Orientation", "Generations & Nostalgia", "Geography", "Golf", "Guns & Weapons", "Hair", "Health", "Hip-Hop & Rap Music", "History", "Home & Garden", "Home Improvement", "Home Inspiration & Decor", "Horror Movies & Series", "House Plants", "Humanities & Law", "Hunting", "Ice Hockey", "Identity & Relationships", "Illegal & Recreational Drugs", "Indie & Alternative Music", "Interesting", "Internet Culture", "Jazz Music", "K-Pop", "Languages", "Law", "Love & Dating", "Makeup", "Mathematics", "Medical Health", "Memes", "Mental Health", "Metal Music", "Military", "Mobile Games", "Model Building", "Motivation & Self-Improvement", "Motor Sports", "Motorcycles", "Movie News & Discussion", "Movies & TV", "Music", "Music News & Discussion", "Music Production", "Musical Instruments & Singing", "Nails", "Nature & Outdoors", "Nature & Wildlife", "News", "News & Politics", "Non-Alcoholic Beverages", "Oddly Satisfying", "Other Games", "Other Hobbies", "Other Music Genres", "Other Sciences", "Other Sports", "Paranormal & Unexplained", "Performing Arts", "Personal Finance", "Photography", "Physics", "Places & Travel", "Places in Africa", "Places in Asia", "Places in Australia & Oceania", "Places in Europe", "Places in North America", "Places in South America", "Places in the Middle East", "Podcasts", "Politics", "Pop Culture", "Pop Music", "Pregnancy", "Programming", "Psychology & Sociology", "Q&As", "Q&As & Stories", "R&B Music", "Racket Sports", "Reading & Writing", "Real Estate", "Reality TV", "Reddit Meta", "Relationships", "Religion & Spirituality", "Rock Music", "Role-Playing Games", "Romance Movies & Series", "Rugby", "Sci-Fi Movies & Series", "Science News & Discussion", "Sciences", "Simulation Games", "Skincare", "Smoking & Vaping", "Soccer", "Software & Apps", "Space & Astronomy", "Spooky", "Sports", "Sports & Racing Games", "Sports News & Discussion", "Startups & Entrepreneurship", "Stocks & Investing", "Stories & Confessions", "Strategy Games", "Streamers", "Streaming Services", "Streetwear & Sneakers", "Studying & Education", "Superhero Movies & Series", "Sustainable Living", "TV News & Discussion", "Tabletop Games", "Tarot & Astrology", "Tattoos & Piercings", "Tech News & Discussion", "Technology", "Toys", "Trains & Public Transportation", "Trauma Support", "Travel & Holiday", "True Crime", "Vegetarian & Vegan Food", "Vehicles", "Virtual & Augmented Reality", "Watches", "Water Sports", "Weddings", "Weight Loss", "Weird & Unusual", "Wellness", "Wholesome & Heartwarming", "Winter Sports", "Wrestling & Combat Sports", "Writing" ] } }, "categoryMaxCommunities": { "title": "Communities per category", "minimum": 1, "maximum": 25, "type": "integer", "description": "How many top communities to crawl per category.", "default": 10 }, "answers": { "title": "Ask Reddit AI", "type": "array", "description": "Questions for Reddit's AI answer engine → a synthesized answer from real threads + citations. Shopping questions also return product cards with prices and buy links. Example: best budget mechanical keyboard under $100.", "items": { "type": "string" } }, "answersProducts": { "title": "Include product recommendations in AI answers", "type": "boolean", "description": "For AI answers, include product cards + retailer prices when the question has shopping intent.", "default": true }, "subredditComments": { "title": "Subreddit comment firehose", "type": "array", "description": "Subreddit names → EVERY recent comment across the whole sub (all posts), not per-post. Mass comment extraction. e.g. \"AskReddit\".", "items": { "type": "string" } }, "sort": { "title": "Sort posts by", "enum": [ "hot", "new", "top", "rising", "controversial", "best" ], "type": "string", "description": "Order for subreddit posts (used when feed mode = Listing).", "default": "top" }, "time": { "title": "Time range", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "For Top / Controversial sorts and searches.", "default": "week" }, "feedMode": { "title": "Subreddit feed mode", "enum": [ "listing", "algorithmic" ], "type": "string", "description": "How subreddit posts are pulled. Algorithmic returns Reddit's actual ranked feed with `feed_rank` and the recommendation cells the app injects.", "default": "listing" }, "maxPostsPerSource": { "title": "Max posts per source", "minimum": 1, "type": "integer", "description": "Posts to pull per subreddit / search / user. Reddit caps any single listing at ~1,000 — combine sorts & time ranges to exceed it.", "default": 100 }, "maxItems": { "title": "Max items (whole run)", "minimum": 1, "type": "integer", "description": "Hard cap on total records the run returns. Pay-per-result: you're only charged for what's returned.", "default": 10000 }, "includeComments": { "title": "Include full comment threads", "type": "boolean", "description": "Fetch EVERY comment of each post — recursively expanding hidden/collapsed replies (most scrapers stop at ~200). Adds requests per post.", "default": false }, "threadedComments": { "title": "Threaded (nested) comments", "type": "boolean", "description": "Output comments as a nested reply tree — each comment carries its `replies`, preserving the full thread hierarchy (instead of a flat list). Requires \"Include full comment threads\".", "default": false }, "maxCommentsPerPost": { "title": "Max comments per post", "minimum": 0, "type": "integer", "description": "Upper bound on comments fetched per post when the above is on.", "default": 500 }, "minScore": { "title": "Min score", "minimum": 0, "type": "integer", "description": "Keep only posts with at least this score. 0 = no filter.", "default": 0 }, "minComments": { "title": "Min comments", "minimum": 0, "type": "integer", "description": "Keep only posts with at least this many comments. 0 = no filter.", "default": 0 }, "minUpvoteRatio": { "title": "Min upvote ratio", "minimum": 0, "maximum": 1, "type": "number", "description": "Only keep posts with at least this upvote ratio (0–1). 0 = no filter.", "default": 0 }, "includeNSFW": { "title": "Include NSFW", "type": "boolean", "description": "Include over-18 content. Off = filtered out.", "default": false }, "postIntelligence": { "title": "Post intelligence (related questions + products)", "type": "boolean", "description": "For each post, add related_questions (questions associated with the post's topic — content ideation) and mentioned_products (products named in its comments, with counts). One extra lookup per post.", "default": false }, "includeCrosspostGraph": { "title": "Crosspost / virality graph", "type": "boolean", "description": "For crossposted posts, add `crossposted_to` — every other post + subreddit the same content spread to. Virality & repost-network tracking (no other scraper surfaces this). One extra request per crossposted post.", "default": false }, "includeUserInfluence": { "title": "User influence map (moderated subs + trophies)", "type": "boolean", "description": "When scraping users, add the subreddits they MODERATE (control) + trophies — power/network mapping no other scraper has. Two extra requests per user.", "default": false }, "collectUsers": { "title": "Collect participant usernames", "type": "boolean", "description": "Emit a deduped list of every username that participated (posted or commented) in each subreddit/post — audience & power-user extraction. Forces comment fetch to gather commenters.", "default": false }, "includeAnalytics": { "title": "Analytics — sentiment, themes & pain points", "type": "boolean", "description": "Compute sentiment (positive/negative/neutral), top themes, and ranked PAIN POINTS (unmet needs/complaints, weighted by engagement) over the harvested posts+comments of each subreddit/post. Forces comment fetch. Great for market research & product-gap discovery.", "default": false }, "keywordMaxCommunities": { "title": "Max communities per keyword", "minimum": 1, "maximum": 25, "type": "integer", "description": "How many matching communities to return per keyword (each adds one lookup for live active-user counts).", "default": 15 }, "keywordConversations": { "title": "Top conversations per keyword", "minimum": 0, "maximum": 25, "type": "integer", "description": "How many current top posts mentioning the keyword to attach. 0 = skip.", "default": 8 }, "country": { "title": "Market (country)", "type": "string", "description": "Country context (ISO-2). Affects regional ranking.", "default": "us" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }