1from apify_client import ApifyClient
2
3
4
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7
8run_input = {
9 "urls": ["https://embracebenchmark.com/search-deals?c__searchparams=%7B%22source%22%3A%22comNexusSearchForm%22%2C%22keywords%22%3Anull%2C%22clientCode%22%3Anull%2C%22geoSelections%22%3A%5B%7B%22icon%22%3A%22standard%3Alocation%22%2C%22id%22%3A%22%7B%5C%22type%5C%22%3A%5C%22usermacroregion%5C%22%2C%5C%22target%5C%22%3A%5C%22Northeast%20United%20States%5C%22%2C%5C%22data%5C%22%3A%5B%7B%5C%22type%5C%22%3A%5C%22relation%5C%22%2C%5C%22target%5C%22%3A%5C%22Pennsylvania%2C%20USA%5C%22%2C%5C%22osm_id%5C%22%3A%5C%22R162109%5C%22%2C%5C%22country_code%5C%22%3A%5C%22us%5C%22%2C%5C%22country%5C%22%3A%5C%22United%20States%20of%20America%5C%22%7D%2C%7B%5C%22type%5C%22%3A%5C%22relation%5C%22%2C%5C%22target%5C%22%3A%5C%22New%20Jersey%2C%20USA%5C%22%2C%5C%22osm_id%5C%22%3A%5C%22R224951%5C%22%2C%5C%22country_code%5C%22%3A%5C%22us%5C%22%2C%5C%22country%5C%22%3A%5C%22United%20States%20of%20America%5C%22%7D%2C%7B%5C%22type%5C%22%3A%5C%22relation%5C%22%2C%5C%22target%5C%22%3A%5C%22Connecticut%2C%20USA%5C%22%2C%5C%22osm_id%5C%22%3A%5C%22R165794%5C%22%2C%5C%22country_code%5C%22%3A%5C%22us%5C%22%2C%5C%22country%5C%22%3A%5C%22United%20States%20of%20America%5C%22%7D%2C%7B%5C%22type%5C%22%3A%5C%22relation%5C%22%2C%5C%22target%5C%22%3A%5C%22Massachusetts%2C%20USA%5C%22%2C%5C%22osm_id%5C%22%3A%5C%22R61315%5C%22%2C%5C%22country_code%5C%22%3A%5C%22us%5C%22%2C%5C%22country%5C%22%3A%5C%22United%20States%20of%20America%5C%22%7D%2C%7B%5C%22type%5C%22%3A%5C%22relation%5C%22%2C%5C%22target%5C%22%3A%5C%22Rhode%20Island%2C%20USA%5C%22%2C%5C%22osm_id%5C%22%3A%5C%22R392915%5C%22%2C%5C%22country_code%5C%22%3A%5C%22us%5C%22%2C%5C%22country%5C%22%3A%5C%22United%20States%20of%20America%5C%22%7D%2C%7B%5C%22type%5C%22%3A%5C%22relation%5C%22%2C%5C%22target%5C%22%3A%5C%22Vermont%2C%20USA%5C%22%2C%5C%22osm_id%5C%22%3A%5C%22R60759%5C%22%2C%5C%22country_code%5C%22%3A%5C%22us%5C%22%2C%5C%22country%5C%22%3A%5C%22United%20States%20of%20America%5C%22%7D%2C%7B%5C%22type%5C%22%3A%5C%22relation%5C%22%2C%5C%22target%5C%22%3A%5C%22New%20Hampshire%2C%20USA%5C%22%2C%5C%22osm_id%5C%22%3A%5C%22R67213%5C%22%2C%5C%22country_code%5C%22%3A%5C%22us%5C%22%2C%5C%22country%5C%22%3A%5C%22United%20States%20of%20America%5C%22%7D%2C%7B%5C%22type%5C%22%3A%5C%22relation%5C%22%2C%5C%22target%5C%22%3A%5C%22Maine%2C%20USA%5C%22%2C%5C%22osm_id%5C%22%3A%5C%22R63512%5C%22%2C%5C%22country_code%5C%22%3A%5C%22us%5C%22%2C%5C%22country%5C%22%3A%5C%22United%20States%20of%20America%5C%22%7D%2C%7B%5C%22type%5C%22%3A%5C%22city%5C%22%2C%5C%22target%5C%22%3A%5C%22New%20York%2010007%2C%20USA%5C%22%2C%5C%22osm_id%5C%22%3A%5C%22R175905%5C%22%2C%5C%22country_code%5C%22%3A%5C%22us%5C%22%2C%5C%22country%5C%22%3A%5C%22United%20States%20of%20America%5C%22%7D%5D%7D%22%2C%22sObjectType%22%3A%22UserDefinedRegion__c%22%2C%22subtitle%22%3A%22Pennsylvania%2C%20USA%3B%20New%20Jersey%2C%20USA%3B%20Connecticut%2C%20USA%3B%20Massachusetts%2C%20USA%3B%20Rhode%20Island%2C%20USA%3B%20Vermont%2C%20USA%3B%20New%20Hampshire%2C%20USA%3B%20Maine%2C%20USA%3B%20New%20York%2010007%2C%20USA%22%2C%22title%22%3A%22Northeast%20United%20States%22%2C%22titleFormatted%22%3A%22Northeast%20United%20States%22%2C%22subtitleFormatted%22%3A%22Pennsylvania%2C%20USA%3B%20New%20Jersey%2C%20USA%3B%20Connecticut%2C%20USA%3B%20Massachusetts%2C%20USA%3B%20Rhode%20Island%2C%20USA%3B%20Vermont%2C%20USA%3B%20New%20Hampshire%2C%20USA%3B%20Maine%2C%20USA%3B%20%3Cstrong%3ENew%20Y%3C%2Fstrong%3Eork%2010007%2C%20USA%22%7D%5D%2C%22osmIdArray%22%3A%5B%5D%2C%22regionArray%22%3A%5B%22Northeast%20United%20States%22%5D%2C%22industries%22%3Anull%2C%22activities%22%3Anull%2C%22ebitdaMin%22%3A0%2C%22ebitdaMax%22%3A100000000%2C%22revenueMin%22%3A0%2C%22revenueMax%22%3A250000000%2C%22currencyCode%22%3A%22USD%22%2C%22searchFrom%22%3A0%2C%22searchResultSize%22%3A12%7D"],
10 "maxitems": 30,
11}
12
13
14run = client.actor("scrapestorm/benchmark-international-business-listing-scraper").call(run_input=run_input)
15
16
17print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21