The Netaji

Export a software product's G2 reviews with the rating, headline, full text and dates, plus the reviewer's job title and the size of the company they work for. The three questions every reviewer answers arrive separated, so praise and complaints can be read apart.

List recent disapproved creative records or retrieve one record by ID. Results include the creative ID, activity dates, and available impression ranges.

For Google Maps links and place ids already in hand. Each one returns a finished business record: name, address, coordinates, phone in two forms, website, categories, rating, opening status, attributes and photos. Built for refreshing a saved list or a column of pasted links.

The complete review list for a Google Maps business, not a sample of it. A Maps link or a place id returns every review newest first: text, star rating, posted and edited dates, the reviewer, attached photos and the owner reply. Star-only ratings are in there, so the total agrees with the page.

Build a list of businesses from Google Maps. Search around any point on the map and every result arrives as a finished record: name, address, coordinates, phone in two forms, website, categories, rating, opening status, attributes and photos. No follow-up lookup per business.

Every Google Play dataset behind one mode picker: the full app record for a package ID or link, ranked keyword search, a developer's public portfolio, or public reviews with developer replies. Each mode takes its own input and returns that dataset's fields.

Search Google Play by keyword and export the ranked app list. Every row includes its package ID, title, developer, rating, install range, category, description, icon, and the query that produced it.

Size up employers in bulk. One row per company: the star rating and the five categories behind it, CEO approval, all fifteen dimensions of the work happiness survey, headcount and revenue bands, the reviews on the profile, and the company's own peer set.

Turn a list of roles and cities into a spreadsheet of live openings. Each row carries the employer and its rating, the pay range already parsed into numbers, the location, the posting date, the apply link, and whether the employer paid for the placement.

Find out what a role actually pays. One row per job title: the average pay and the 10th-to-90th percentile spread, the same figures for every one of the 51 US regions, the employers paying most, the top-paying cities, and the pay for the titles either side of it on the ladder.

Fetch a post's full media object, its comments, or its oEmbed metadata, by shortcode, media ID, or URL, with optional author profile enrichment.

Scrape posts, reels, or check story/live status for one or more public Instagram accounts, with optional full media detail enrichment.

Search LinkedIn Ad Library ads by advertiser, payer, creative keyword, served-in country, date range, or impressions. The Actor paginates search results, fetches one ad from its detail URL, and can add details to saved search results.

Map the whole group who decides on a purchase at a company, not just one contact. Returns the likely economic buyer, champion, technical evaluator and blocker for the department you sell into, each with a work email. Everyone is confirmed to hold a current role at the company.

Find companies whose open roles show they are investing in what you sell, and who to contact at each. A company hiring three Kubernetes engineers has a budget and a problem; the row carries how many roles, how long the oldest has sat, and the leader's work email.

Point it at any Ozon category link and export the whole listing, not just the first page. Each product carries its price, discount, star rating and review count as numbers. Enrichment adds the seller, the non-card price, the spec table and every image, per product.

List Pins from a public Pinterest board and save titles, descriptions, board context, source domains, outbound links, and original creators.

List public Pinterest boards for a username with each board's ID, privacy, Pin total, description, collaboration details, and cover data.

Retrieve a public Pinterest profile by username with its display name, bio, Pin and board totals, verification data, and cover details.

Collects Pinterest Pins, search results, profiles, boards, and board Pins through a single Actor. The mode is selected per run; each mode accepts its own identifier and returns that dataset's fields, with optional enrichment attached to every row.

Search public Pinterest Pins or video Pins by keyword, then save titles, descriptions, boards, source domains, and outbound links.

Reads a Reddit account's public profile by username and saves a single row: its id, display name, description, total karma with the post and comment breakdown, contribution count, cake day, and icon. Figures Reddit renders without a breakdown are saved as null rather than guessed.

Reads a Reddit post's comments from its link or its id and saves one flat row per comment, each carrying the depth and the parent Reddit states for it, so the thread rebuilds exactly. Every row also reports how much of the tree the run reached and how many branches were left unread.

Nine Reddit reads in one Actor: a subreddit feed, the popular feed, keyword search, an account's activity and comment history, a post's comment tree, a single post, a community record, and an account profile. The mode is chosen at run time and each one fills in its own section.