Parser Club tools

Finding a post that worked in your niche is half the job. The other half is writing your own so the same mechanics fire: the same kind of opening, the same rhythm, the same length. This tool does that from a finished export: you mark the posts, describe your product, and get three variants of each.

To work out what to publish, you first need to see what already worked for others in your niche. This tool collects Threads posts for your keywords with likes, replies and reposts, then marks the ones that clearly outperformed a typical post in that same result set.

Reviews are what customers tell you about your market for free and without a survey: what they will pay for, what infuriates them, why they leave. This tool collects review texts about businesses on Yandex Maps by niche and city — together with the replies those companies wrote.

Design work and engineering surveys under contract require membership in a specialised SRO. This registry gathers such organisations — those legally cleared to prepare design documentation and carry out surveys.

A construction company cannot start on site without SRO membership — the law requires it for contract work. So this registry lists those who actually build, not everyone who ticked a matching activity code at registration.

Only a limited set of companies may sell alcohol, and all of them are listed in the state registry: shops, bars, restaurants. For a drinks supplier, a till vendor or a delivery service this is a map of offline outlets with a legal entity and a working email.

In business directories "security firms" is a category that also collects CCTV and fire-equipment sellers. Here you get only organisations holding an active state licence for guarding activity, each with a tax ID.

In business directories "pharmacy" is just a category — opticians and medical-equipment shops land there too. Here it is the opposite: a licence is the state's confirmation of the right to sell medicines, and every record carries a tax ID. The registry is refreshed weekly.

Neither the developer nor the bank announces a delay — buyers usually find out last. Yet the date sits in the state registry and changes there before any announcement appears. We snapshot the registry every night and show the buildings where it moved.

VK returns about three hundred people per request and stops there, so a plain "search by criteria" hits the ceiling almost immediately. We slice the query by age, gender and city and merge the results without duplicates: one measured niche produced 1,908 people in 25 seconds instead of 132.

An ad that reaches someone a week before their birthday performs noticeably better: the reason is obvious and welcome. The tool collects people whose birthday falls into the range you choose.

People fill in their workplace themselves — and that attribute lets you assemble a specific company's team. A link to its community is enough; we substitute the correct name ourselves.

Before buying stock it helps to know what you are walking into: how many sellers are already there, how wide the price spread is, and whether there are listings without reviews that are easy to outrank. The tool collects the search results for your query and folds them into one sheet with an entry score.

A listing can be excellent, but if it is not on the first pages for the right query nobody sees it. The tool checks where your article stands for each keyword — and says plainly when the product is not within the depth scanned.

Reviews are the most honest source of complaints about a product: they say outright what tears, what did not fit and what was missing from the box. We export them as a table so you can read everything at once.

To understand a competitor it is easier to look at the whole range at once rather than single listings: where they hold prices, which items gathered reviews and which sit still. A link to the seller is enough.

Yandex Maps holds what no other directory releases: a rating, opening hours and review texts. There are two tools. The first collects businesses by niche and city — with phone, website, address and rating. The second pulls the review texts about them: what customers praise, what they complain about, and whether the company replies. The rating tells you not just that a business exists but whether it is alive: a place with 400 reviews and an empty card are two different sales conversations.

A company posting job postings for the first time is usually launching something — a new location, a shift, a direction. That is when budget and needs appear that did not exist a month ago. We find such companies in the state job posting registry: we take the whole base and keep those whose earliest open job posting appeared within the chosen period.

A collected table is almost always wider than the job needs: rows without a contact, the wrong region, the wrong price. The usual answer is to run the collection again with different settings — and pay twice. Here the filter works on the finished file: pick your completed task, and the engine reads that table's own columns and keeps only the rows that match.

To arrange an ad placement, report spam or reach the owner of a community you do not need the whole member list — just the few people with rights. This tool returns exactly them: owner and moderators with profiles and links.

Few people write a comment, but many leave a reaction — it is the lowest engagement threshold there is. This tool collects those who reacted: a smaller audience than subscribers, but every person in it has already shown interest.

Stories live for 24 hours, so interaction with them is the freshest activity signal available. This tool collects the audience from a community's Stories — people who were there literally today.

In a busy chat the message you need gets lost. This tool reads the history and keeps only messages containing your words — together with their authors. That turns an ordinary chat into a list of people with a specific need.

The member count says nothing about a community: half of it may have been silent for years and part may be deleted accounts. This tool breaks the audience down and shows what you are actually paying for when buying ads.

Before paying for a placement you need to know not the subscriber count but how many people will actually see the post. This tool builds a channel card: reach, reactions and signs of a live audience.

A lively chat and a dead one look identical until you look at the messages. This tool breaks down the activity: how much is written, who sets the tone and when the community is actually alive.

A community's name promises one thing while the actual discussion goes its own way. This tool builds a frequency dictionary from the messages: real topics, recurring questions and the words the audience uses for its problem.

Sometimes what matters is not the member list itself but who it consists of. This tool collects extended profiles: who pays for Premium, who filled in a name and set a photo — signs that separate a live account from an empty one.

When you know nothing about a niche, starting from one specific chat is premature. This tool walks the sources and builds a summary: which communities exist on the topic, how large they are and where to collect the audience.

While you look for clients, they write about their problem themselves — in industry chats, city communities and marketplaces: 'can anyone recommend', 'looking for a contractor', 'who does…'. Lead capture watches for such messages by your keywords and sends them to Telegram as they appear, so you reply first while the person still needs it.

Collect the audience of Telegram chats and channels: active members by messages (the most 'alive' leads), full member lists, channel commenters, keyword search of chats.

Find every themed Telegram chat and channel by keywords in one query: we poll the account pool and gather hundreds of sources, not just the first 10 from the built-in search.

Enter a niche in your language and pick the languages — we turn the query into search terms 'the way channels are actually named' (not a literal translation) and find sources worldwide.

Collect a Telegram group's member list and export it to Excel: the full chat roster or just the active audience for a chosen period. No need to connect your account — parsing runs through the pool.

Instead of dumping everyone, collect only the live Telegram audience — those who actually posted in a chosen period. These are the most engaged leads, not dead weight and bots.

Telegram doesn't expose broadcast-channel subscribers to anyone without admin rights. But a channel has a linked discussion chat — that's where we collect commenters, the most engaged part of the channel's audience. A working and legal workaround.

Collect texts from Telegram: channel posts with views and reactions, a chat's message history, all comments under posts. Export everything for a period, or only messages containing the words you need. It runs online with no install; the result is an Excel file with text, date, author and a link to the message. One honest boundary: we collect Telegram content, not arbitrary websites.

VK communities have a contacts block where companies publish who to reach out to. This tool collects that data across a list of groups: who is listed, with which role, and how to contact them.

The built-in VK search shows results you cannot take anywhere. This tool collects communities by niche and city into a table: audience size, category and address, so it is immediately clear which communities are worth the work.

Normally this is two tasks: find the communities, then collect people in them. This tool does both in one run — you name the niche and get a ready audience with gender, age and birth date.

In any group most members joined once and never came back. This tool keeps only those who showed up: liked and commented on recent posts.

A competitor's successful post is a ready-made selection of interested people. This tool collects the audience of one post or video: those who liked it and those who commented.

Community discussions live for years, and the most engaged part of the audience sits there: people who do not just scroll but write about the topic.

A person's circle often resembles them: age, city, interests. This tool exports friend lists from profile links, turning a few known clients into a similar audience.

Collect a VKontakte audience right in the browser — nothing to download, works on Windows and macOS alike. Members and active subscribers of communities, people search by city, gender and age, community search by keywords, admin contacts and company employees. The result is an Excel file with profile links. First run free: up to 100 rows.

See competitors' ads on VKontakte: promo posts (marked as ads) with creative, copy and public engagement — what's working for them. This is a sample of what runs in a niche, not a full export of all advertising: VK returns about 60 recent posts per keyword and does not let you page deeper.

When the SKUs are already known — yours or a competitor's — you do not need search but a quick slice on each. This tool pulls card data for a list and puts it into one table.

A one-off export shows the state right now, but decisions are made on dynamics: when a competitor cut the price and when an item came back in stock. This tool repeats the collection on a schedule and sends you the difference.

Collect Wildberries data for market analysis: niche products with filters (price, rating, reviews, brand, availability), a seller summary, a product card by SKU, reviews and stock history.

Build a company base by niche and city right in the browser — no software and no API key of your own: name, category, address, coordinates, plus phones, emails and websites where published. 2GIS and OpenStreetMap data are merged with dedup. Simple format — 'category, city'. The first run is free: up to 100 organizations with an Excel export.

Set any parsing job to repeat on a schedule — we compare the result with the previous run and send only what's new to Telegram: fresh members, products, price and availability changes. Threshold triggers alert you when a competitor's price drops below your limit or an item is back on sale.

The same active ingredient is sold under a dozen brand names, and prices differ several times over. This shows everything registered with the same ingredient, priced per tablet or capsule, as a table you can export.

VK's own search shows a feed you cannot take anything out of. Here publications are collected into a table — text, author, date, link — and can be watched so new ones arrive as a notification.

The Russian state housing-construction system keeps a registry of every building under construction — 13,408 objects nationwide. It shows who is building, what completion date was declared and whether it has moved. Neither the developer nor the bank writes to you about a delay.

Export hh.ru job postings into a spreadsheet: salaries, employers, requirements, number of applications. Two uses — labour-market analysis (what your profession pays and where) and competitor intelligence: who they hire and how many, which shows where they are growing.

Ordinary job search answers the question “where can I earn this weekend” badly. This page collects exactly the filters that question needs — schedule, pay frequency, shift length — and exports them as a table instead of pages to scroll.

The state employment portal publishes what commercial job boards do not: the employer's tax ID, registration number and phone right in the posting. This is not labour-market analytics — it is a list of companies that need people right now, with details to verify them and a number to call.

The state register of every organisation that manages apartment buildings in Russia: 49,312 companies responsible for 706,193 buildings. Phone, e-mail, tax ID and building count for each — a ready-made list for anyone selling into housing utilities.

Under a sponsored study contract an employer pays for the education and the graduate works for them afterwards. The state portal keeps a single catalogue of such offers: 7,348 positions showing who is willing to train whom, in what speciality, and until what date applications are open.

The Avito listings parser is on the way: collect cards, prices and sellers by category and city for market analysis, competitor monitoring and lead generation. While it's in development, Telegram, VKontakte, Wildberries and 2GIS organizations are already available.

The Ozon parser is on the way: collect product cards, prices, sellers and reviews by category for niche, competitor and assortment analysis. While it's in development, Wildberries, Telegram, VKontakte and 2GIS organizations are already available.