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Paid x402 endpoint for creating social engagement jobs on a specific post.

Get TikTok videos for a username, a hashtag or a search keyword. The body is {mode: profile|hashtag|search, query, limit} and limit runs 1-20. Records use the scraper's own field names: text, createTimeISO, playCount, diggCount (likes), commentCount, shareCount, webVideoUrl, hashtags, authorMeta (name, nickName, fans, verified), musicMeta and videoMeta.duration. A leading @ or # in the query is stripped.

Google Search results (SERP) for a query, as JSON. Each record is one results page with organicResults (position, title, url, displayedUrl, description), paidResults, relatedQueries, peopleAlsoAsk and searchQuery metadata. Body: {query, limit}. limit (1-20) is rounded up to whole pages of about 10 results, so 1-10 returns one page and 11-20 returns two. Useful for rank checks, source discovery and grounding answers in search results.

Keyword search on Amazon.com (US store): up to 20 products per call, each filled in from its product page. Body: {query, limit}. The normalized object per product: asin, title, brand, price, list_price, currency, rating, reviews_count, in_stock, seller, image, url, description and the features bullet list. Good for price checks and product comparison.

YouTube video search by keyword, or the videos of one channel. Mode search takes keywords; mode profile takes a channel handle without the @. limit is 1-20 regular videos, no Shorts or live streams. Per video you get a normalized object: title, description, views, likes, comments_count, duration_seconds, published_at, thumbnail, url, channel_name, channel_url, channel_id, subscribers.

Search Reddit or read a subreddit. Use mode hashtag with a subreddit name (no r/), profile with a username, or search with keywords, plus limit 1-20. Every record carries a normalized object with kind, title, body, author, subreddit, url, created_at, upvotes and comments_count. Comments are not fetched. upvotes and comments_count can be null, and subreddit mode may return the subreddit's own record (kind: community) with its description.

Look up one public LinkedIn profile per call. Pass {query} as a username (williamhgates), a profile URL or a URN; there is no limit field. The normalized object holds name, first_name, last_name, headline, about, location, country_code, current_company, followers, connections, avatar, plus experience (title, company, start_year, end_year, is_current) and education (school, degree, field, years). Email addresses are not returned.

Tweets from X (Twitter) for one account or a search query. {"mode":"profile","query":"nasa"} returns that account's tweets, mode search takes keywords, and limit is 1-20. Each tweet has text, createdAt, url, lang, likeCount, retweetCount, replyCount, quoteCount, viewCount, isReply, isRetweet and an author object with userName, name, followers and isBlueVerified. No X developer account needed; pay per call in USDC.

Google Maps places for a search term, optionally narrowed to an area: {"query":"coffee shops","location":"Prague","limit":5}. Up to 20 places per call. Each place comes back with title, categoryName, address, phone, website, totalScore (rating), reviewsCount, location (lat, lng), openingHours, price, placeId and its Maps url. Common uses are local lead lists, store and competitor mapping, and checking a business's hours or phone number.