The Netaji

Browse public Facebook Marketplace listings, optionally by category, with titles, prices, locations, images and links. Optionally attach each listing's full detail record.

Search Facebook's public video catalogue by keyword and collect each matching video with its title, owner, duration, publish date and thumbnail. Supply several search terms in one run and page through as many results as you need. No Facebook login is used.

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

Search public advertiser records, list creatives for an advertiser or destination domain, retrieve records by ID, or find advertiser and domain suggestions.

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.

Export public reviews for one or many Google Play apps. Choose newest, helpful, or rating order and get one row per review with its score, text, author, date, helpful count, app version, and developer reply.

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.

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.

Search Dice and Seek, retrieve individual job postings, inspect Seek company profiles, or collect ZipRecruiter listings from one configurable Actor.

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.

Find companies advertising on LinkedIn right now and who to contact at each. An advertiser has a budget by definition — the row carries how many ads they are running, one as evidence, and the marketing leader's work email.

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.

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 Pin and save its title, description, board, source link, save count, and available media fields.

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.